A Traffic Aware Routing Protocol for Congestion Avoidance in Content-Centric Network
|
|
- Georgina Lee
- 5 years ago
- Views:
Transcription
1 , pp A Traffc Aware Routng Protocol for Congeston Avodance n Content-Centrc Network Jung-Jae Km 1, Mn-Woo Ryu 2*, S-Ho Cha 3 and Kuk-Hyun Cho 1 1 Dept. of Computer Scence, Kwangwoon Unversty 447-1, Wolgye-dong, Nowon-gu, Seoul , Sou Korea {kjj6929, chokh}@kw.ac.kr 2 Embedded Software Convergence Research Center, Korea Electroncs Technology Insttute #68 Yatap-dong, Bundang-gu, Seongnam-s, Gyeongg-do, Sou Korea mnu@ket.re.kr 3 Department of Multmeda Scence, Chungwoon Unversty 113, Sukgol-ro, Nam-gu, Incheon, Sou Korea shcha@chungwoon.ac.kr Abstract Content-Centrc Network (CCN) s next generaton nternet communcaton technology to provde exstng nternet communcaton paradgm as content based communcaton for effcent use varous nformaton n e Internet. Therefore, unlke exstng nternet communcaton technology, whch focus on host based communcaton process, all of resource s defned as contents n CCN. Moreover t focuses on purpose of communcaton for usng nformaton. CCN communcate w between routers rough broadcast floodng meod n er network envronments. Ths characterstc of CCN s not consderng ncreasng network traffc about each of CCN routers. Therefore, when e requesters are rapdly ncreased to partcular CCN router, network congeston may be occurred by broadcast traffc. Moreover, s characterstc of CCN has low turnaround tme about user request due to reducng performance of network system. To resolve s problem, s paper proposes a traffc aware routng protocol for congeston avodance n CCN. The proposed routng protocol consders rapdly ncreasng traffc n e stuaton and establshes anoer routng pa to avod ncreasng traffc problem n CCN. Keywords: Traffc, Content-Centrc Network, Routng, Protocol, Congeston Avodance 1. Introducton Through numerous hardware technology advances, many devces were developed. And s stuaton s movng towards dssemnaton of multmeda based devces such as smart phone and tablet. Accordng to e stuaton, people can connect e Internet an any-tme, any-place. Theses paradgm has change of usng e Internet. For example, e tool, whch s used to e Internet, s movng towards from personal computer to multmeda devces. And also, usng of nternet nformaton s moved from exstng web page to moble web or multmeda contents. Throughputs eses paradgm, new technology have emerged so-call Content-Centrc Network (CCN). CCN s next generaton nternet communcaton technology to change exstng nternet communcaton paradgm as content based communcaton for * Correspondng auor ISSN: IJMUE Copyrght c 2014 SERSC
2 effcent use varous nformaton n e Internet [1]. Therefore, unlke exstng nternet communcaton technology, whch focus on host based communcaton process, all of resource s defned as contents n CCN. Moreover t focuses on purpose of communcaton for usng nformaton. For e change of eses communcaton purpose, CCN communcate w each CCN router va name based routng meod and contents s saved n each CCN router. Therefore, CCN has dfferent communcaton meod exstng nternet communcaton technology. CCN communcate rough e Interest packet and e Data packet. The Interest packet s used to when requester request contents to publsher. And e Data packet s used to when publsher response contents to requester [2]. Therefore n CCN, routng meod was performed by e Interest packet and e Data packet. In ere, CCN router broadcast e Interest packet to neghbor routers for fndng nterest contents. If CCN router s fned nterest contents, t s create e Data packet and response t to requester va pa tracng of e Interest packet. Ths characterstc of CCN s not consderng ncreasng network traffc about each of CCN routers [3]. Therefore, when e requester requests are rapdly ncreased to partcular CCN router, network congeston may be occurred by broadcast traffc [4]. Moreover, CCN has low network performance. Ths s because, CCN do not consder congeston avodance n mult pa routng. Ths problem occur low qualty data servce to user due to reducng network performance [5-6]. To resolve s problem, s paper proposes a traffc aware routng protocol for congeston avodance n CCN. The proposed routng protocol consders rapdly ncreasng traffc n e stuaton and establshes anoer routng pa to avod ncreasng traffc problem n CCN. The rest of s paper s organzed as follows. The exstng routng protocol used n s research feld s ntroduced n Secton 2. Basc dea and overvew about e proposed routng protocol s ntroduced n Secton 3. Secton 4 descrbes e proposed routng protocol. Secton 5 presents a performance evaluaton of e proposed routng protocol by comparng t w e exstng CCN routng. Fnally, n Secton 6, conclusons are made ncludng e future research. 2. Related Work 2.1. Content-Centrc Networks (CCN) Unlke exstng nternet communcaton meod, e CCN communcate rough name of contents nstead of IP address. Therefore, n e CCN, contents name s eased to search va prefx matchng due to contents name s desgned as herarchy. In addton, CCN communcaton rough e Interest packet and Data packet. The Interest packet s used to when requester request contents to publsher and t has requested nformaton such as content name and requester nformaton. The Data packet s used to when publsher response contents to requester and t has contents name, nformaton about verfcaton, and drect data. Fgure 1 shows structure of CCN router. As shown n Fgure 1, CCN router has ree of structure such as Content Store (CS), Pendng Interest Table (PIT), and Forwardng Informaton Base (FIB). The CS has role of buffer memory n CCN router. It has specal storage and t s cachng from passed all of content rough LRU cachng polcy about contents e nsde of CCN router. The PIT tracks Interests forwarded upstream toward content source(s) so returned Data can be sent down- stream to ts requester(s). The FIB s used to forward Interest packets toward potental source(s) of matchng Data. It s almost dentcal to an IP FIB except t allows for a lst of outgong faces raer an a sngle 70 Copyrght c 2014 SERSC
3 one. Ths reflects e fact at CCN s not restrcted to forwardng on a spannng tree. It allows multple sources for data and can query em all n parallel. Fgure 1. Router Archtecture for CCN In e CCN, whch has above structure, t s not provded effcent data servce due to CCN do not consdered traffc of nodes n case of network traffc s rapdly ncreasng. To resolve s problem, s paper proposes a traffc aware routng protocol for congeston avodance n CCN. The proposed routng protocol consders rapdly ncreasng traffc n e stuaton and establshes anoer routng pa to avod ncreasng traffc problem n CCN Actve Queue Management Actve Queue Management (AQM) can execute program, whch s specal program n case of need process n nsde CCN router when congeston s occurred. Ths s mean; AQM can rapdly process of congeston control rough transmsson pa of packet an exstng oer congeston controls [7]. In s paper, we apply e concept of Random Early Detecton (RED) [8] for measurement of traffc load among AQM process. RED was desgned for sensng of congeston n packet swtchng network. In RED, e Control packet s dscarded accordng average queue leng, whch s calculated by probablty when leng of queue s exceeded reshold. In oer words, RED algorm compare max reshold (max ) and mn reshold (mn ), whch are predefned va calculatng of average queue leng n every packet was arrved. In RED procedure, RED has polcy as follows: If average queue leng s greater an mn reshold, RED has normal condton If average queue leng s greater an mn reshold and s less an max reshold, nput packets s randomly dscarded. If average queue leng s greater an max reshold, all of nput packets s dscarded. Fgure 2 shows drop probablty about average queue leng n RED. Copyrght c 2014 SERSC 71
4 Fgure 2. Packet Drop Probablty of RED Algorm However, RED does not apply to CCN because t s dfferent of nternet communcaton mechansm. Therefore, n s paper, we proposed a Traffc Aware Routng Protocol (TARP) for congeston avodance n CCN usng concept of AQM and RED 3. Routng Overvew 3.1. Notatons Unlke exstng networks, e proposed TARP do not perfectly apply to RED due to t s performed n CCN envronment. Therefore, we s used to only concept of RED. The table 1 lst e symbols used n e proposed TARP. Table 1. The Defnton of Routng Meod Symbols Symbols N cur q avg q mn max Defntons The - router node Current queue leng of N Average queue leng of N The mn reshold of queue The max reshold of queue P drop Drop probablty of e Interest packet n N T delay Predefned value for delay e Interest packet n N Pa n(face) Interest Transmsson pa of content Number of current FACE The Interest packet Random p Probablty of generated random between 0 to 1 overt delay 3.2. Overvew The delay tme at s proportonal to e average queue leng The proposed TARP conssts of 2 meods. The frst meod s processed e Interest packet based on average queue leng by probablty when average queue leng s greater 72 Copyrght c 2014 SERSC
5 an mn reshold and s less an max reshold. The second meod s dscarded e Interest packet when average queue leng s greater an max reshold. Fgure 3 show operaton process of TRAP Fgure 3. TARP Formaton The router of TARP s defned by nternal condton of router. The detal descrpton s as follows: overn : current overloaded node. In oer words, average queue leng of N s greater an max. nn : overloaded node. In oer words, average queue leng of N s greater an max and s less an mn undern : dle node. In oer words, average queue leng of N s less an mn All of router has at least on among above condtons. In condton of undern, ere s no restrcton when e Interest packet s transmtted by router and content s delvered to anoer router. Therefore, n case of undern, e router has same routng meod as CCN. However, n case of overn, traffc condton of e router s saturaton. Therefore, traffc of N s rapdly ncreased due to broadcastng of e Interest packet. In addton, congeston control s generated by s stuaton n N. In e end, s stuaton leads to reducng network performance. To resolve s problem, e TARP s dscarded nterest packet whch are receved anoer CCN router. Thus, e router s not selected n transmsson pa of e Data packet. In case of nn, e condton s not generated reducng network performance. However, e condton may generate reducng network performance when traffc s ncreased. Therefore, n s stuaton, e TARP calculates P drop accordng to avg q of N. And e TARP decdes delay of e receved Interest packet n N. Through s, e TARP prevent congeston control n beforehand to exclude tself form creaton of Pa. 4. Routng Meod In s secton, we ntroduced routng meod of e TARP. In e TARP, all of routers, whch wll receve e Interest packet, ndependently partcpate to establsh of route accordng to traffc emselves. Copyrght c 2014 SERSC 73
6 4.1. Basc algorm In TARP, establshng of route s started va broadcastng of e Interest packet to fnd contents, whch are requested from request, as smlar exstng CCN routng. Therefore, relay nodes, whch receved e Interest packet, transmt e Interest packet untl destnaton node and establsh of response routng pa to PIT of emselves. After above process, e destnaton node traces e node whch frstly receved e Interest packet and transmts e Data packet ncludng content to requester va uncastng. In s process, e relay nodes, whch receve e Interest packet, can partcpate to establshng of route rough delay of e Interest packet or dscardng of e Interest packet based on traffc condton of emselves. In oer words, e relay nodes may can exclude emselves from establshng of route n case of nn or cjtqjs Ths can establsh routng pa whch can avod nodes whereby generatng of congeston n network. Moreover, s may can reduce generaton of congeston n e network. All of nodes calculate average queue leng of own queue for establshng of Pa when e Interest packet s arrved. In s procedure, we apply exponental weghted movng average (EWMA) [9] as formula (1) for tolerance of traffc whch s arrved to N at moment when calculatng of avg q. avg q = (1 w q ) avg q. + W q q (1) In e formula (1), w q represent flter weght value of EWMA and defne as default value. And q represents new calculated leng of queue. The table 2 show procedure when nterest packet s arrved. Table 2. Procedure when Interest Packet Arrves Lne 2-10 descrbe routng meod when condton of N s become undern. And lne 3-9 descrbe routng meod when condton of N s become nn. Routng meod when condton of N s become overn s descrbed n lne 10 to 17. The each of detal descrpton s ntroduced n Secton 4.1, and Secton Copyrght c 2014 SERSC
7 4.1. Meod 1: nn The Meod 1 represent processng meod when avg 1 q s greater an mn and s less an max. In s condton, drop probablty of e Interest packet can be obtaned usng formula (2). p P n over P max ( avg max ( avg max q q mn mn mn mn ) ) mn (2) Where e P n represent dscarded probablty when N s nn. The p over represent drop probablty when N s overn. As shown formula (2), e greater e average queue leng (e larger e traffc), e greater e delay probablty. In TARP, relay nodes process e Interest packet based on queue condton of emselves usng formula (2). Fgure 4 shows drop probablty n TARP. Fgure 4. Probablty of Applyng e Second Formula In exstng RED, all of node dscards e Interest packet when average queue leng s exceeded max reshold. However, n s case, f any node s relay node and relay node s only one n e network, trunaround tme of content has hgh delay due to e Interest packet drop s generated untl resolvng congeston. Fnally, e network perforce s reduced. On e oer hand, e proposed TARP can be mprovng survval probablty of e Interest packet va formula (2). In e proposed TARP, calculated drop probablty from formula (2) s compared w Random p. In s procedure, f calculated drop probablty s less an Random p, e TARP regards condton of N as undern. Therefore, e Interest packet s broadcasted to anoer neghbor node. On e oer hand, f calculated drop probablty s greater an Random p, e TARP delay broadcastng durng predefned T delay. Therefore, overloaded node delay creaton of Pa durng T delay. Ths reason s at overloaded node exclude for preventon of congeston n e network Meod 2: overn The Meod 2 represents processng meod when avg 1 q s less an mn. The Meod 2 performs as smlar of e Meod 1. However, f drop probablty, whch s obtaned P over n formula (2), s less an Random p, e Interest packet s dscarded. But f drop probablty s Copyrght c 2014 SERSC 75
8 greater an Randomp, e Interest packet s delayed as equal of e Meod 1. However, n case of s procedure, current node N has traffc saturaton. Therefore congeston s generated n e network when N s selected relay node. To resolve s problem, n e Meod 2, creaton tme of e Interest packet s forcbly ncreased as much as over T delay by condton of current queue. The over T delay s obtaned usng formula (3). over T delay T delay avg ( max q 5. Performance Evaluaton mn max ) In s secton, we analyze and compare e performance of e proposed TARP and exstng CCN usng OPNET to prove e valdty of e proposed TARP. In s performance evaluaton, we consdered e roughput accordng to nput load and average turnaround tme of contents. In e smulaton, each of e lnk bandwd s defned 100Mbps and lnk delay s defned 10ms. And also we added traffc at every 3-hop for makng of rapdly ncreased traffc. Table 3 summarzes our smulaton parameters. (3) Table 1. Smulaton Parameters Parameters Values Lnk bandwd Lnk delay Control packet sze Data packet sze 100 Mbps 10 ms 96 bytes 1024 byte Number of packets 20 ~ 120 Moreover, envronment of smulaton about network conssts of server, user, and routers. Where server has content and e Interest packet s created by user. Fnally, routers are used to transmt e Interest packet to server. In addton, we constructed mash topology for establshng of mult pa and regularty of structure. Fgure 5 show our network model of smulaton. Fgure 5. Network Model of Smulaton 76 Copyrght c 2014 SERSC
9 Fgure 6 shows roughput accordng to nput load. In e fgure 6, e more nput load ncreased, e roughput decreased. When we compare CCN, e proposed TARP has hgher performance an CCN. In partcular, n case of exstng CCN, roughput s rapdly reduced when nput load s exceeded of 1000 Kbps. On e oer hand, e proposed TARP s slower reduced an exstng CCN. Ths s because e proposed TARP prevent rapdly reducng roughput va avodance of congeston stuaton n prevously. Fgure 6. Throughput Accordng to Input Load Fgure 7 shows average turnaround tme of contests accordng to number of packets. In s fgure, larger number of packets led to hgher average turnaround tme n CCN and e proposed TARP. However, e average turnaround tme of contents lower an exstng CCN. Moreover, dfference of turnaround tme between e proposed TARP and exstng CCN s from mnmum 20 msec to maxmum 100 msec. Ths s because, e proposed TARP exclude overloaded routers n response routng pa. Therefore, e proposed TARP has shorter turnaround tme of contents an exstng CCN. Fgure 7. Average Turnaround Tme of Contents Copyrght c 2014 SERSC 77
10 6. Concluson and Future Work In s paper, we proposed TARP for avodance n congeston when traffc s rapdly ncreased n e CCN. The proposed TARP decdes partcpaton about establshng pa of route accordng to condton of average queue leng. Moreover, we were proved e proposed TARP much better an e exstng CCN rough smulaton such as roughput accordng to nput load and average turnaround tme of contents. However, e completed Interest packet, whch was used for respondng of contents, stll remans n e network. Therefore, ncreasng of traffc stll exsts. Future research wll nclude dstncton of e completed Interest packet and management of sole relay node accordng to traffc saturaton. References [1] B. J. Lee, H. S. Jeon, and H. Y. Song Informaton-Centrc Networkng Research Trend, Electroncs and Telecommuncatons Trends, (2012). [2] V. Jacobson, D. K. Smetters, J. D. Thornton, M. F. Plass, N. H. Brggs and R. L. Braynard, Networkng named content, In Proceedngs of e 5 ACM Internatonal Conference on Emergng Networkng Experments and Technologes, (2009), pp [3] L. Wang, A. K. M. Mahmudul Hoque, C. Y, A. Alyyan and B. Zhang, OSPFN: An OSPF Based Routng Protocol for Named Data Networkng, Techncal Report NDN Techncal Report NDN , July (2012). [4] C. L, W. Lu and K. Okamura, A Greedy and Colony Forwardng Algorm for Named Data Networkng, n Proceedngs of e APAN - Network Research Workshop, (2012). [5] J. Moy, OSPF verson 2, RFC 2178, (1998). [6] J. Moy, "OSPF protocol analyss", Network Workng Group, (1991) July. [7] G. Thruchelv and J. Raja, A Survey on Actve Queue Management Mechansms, IJCSNS Internatonal Journal of Computer Scence and Network Securty, vol. 8, no. 12, (2008) December. [8] S. Floyd and V. Jacobson, Random Early Detecton Gateways for Congeston Avodance, IEEE/ACM Transactons on Networkng, (1993) August. [9] J. Stuart Hunter, The Exponentally Weghted Movng Average, Journal of Qualt Technology, vol. 18, no. 4, (1986) October. Auors Jung-Jae Km, he receved hs B.S. n Computer Scence from Kwangwoon Unversty, Seoul, Korea n He s currently workng on M.S. at e Department of Computer Scence, Kwangwoon Unversty, Seoul, Korea. Hs research nterests nclude content-centrc networks, vehcular ad-hoc networks, and wreless sensor networks. Mn-Woo Ryu, he receved hs B.S. n Internet Informaton Processng from Yeoju Insttute of Technology, Korea n 2007, and hs M.S. and Ph.D n Computer Scence from Kwangwoon Unversty, Seoul, Sou Korea, n 2009 and 2012, respectvely. He worked as a senor researcher n e Convergence Emergng Industres R&D Dvson at e Korea Electroncs Technology Insttute (KETI), Seongnam, Sou Korea. Hs research nterests nclude Vehcle Ad Hoc Networks, Informatoncentrc Networks, Internet of Thngs, and Semantc based Servce. 78 Copyrght c 2014 SERSC
11 S-Ho Cha, he receved hs B.S. degree n Computer Scence from Sunchon Natonal Unversty, Sunchon, Korea, n 1995, and hs M.S. and Ph.D. degrees n Computer Scence from Kwangwoon Unversty, Seoul, Korea, n 1997 and 2004, respectvely. From 1997 to 2000, he worked as a senor researcher at Daewoo Telecom and he also worked as a researchn-charge at Wareplus n Korea from 2004 to He s now an Assstant Professor n e Department of Multmeda Scence, Chungwoon Unversty, Incheon, Korea. Hs research nterests nclude network management, vehcular ad hoc networks, and wreless sensor networks. Kuk-Hyun Cho, he receved hs B.S. degree n Electronc Engneerng from Hanyang Unversty, Seoul, Korea n 1977 and hs M.S. and Ph.D. degrees n Electronc Engneerng from Tohoku Unversty, Senda, Japan n 1981 and 1984, respectvely. Snce 1984, he has been a Professor n e Department of Computer Scence and Engneerng, Kwangwoon Unversty, Seoul, Korea. From 1998 to 2000, he was Presdent of Open Standards and Internet Assocaton (OSIA). Hs research nterests nclude network and servce management, wreless sensor networks, and vehcular ad hoc networks. Copyrght c 2014 SERSC 79
12 80 Copyrght c 2014 SERSC
Gateway Algorithm for Fair Bandwidth Sharing
Algorm for Far Bandwd Sharng We Y, Rupnder Makkar, Ioanns Lambadars Department of System and Computer Engneerng Carleton Unversty 5 Colonel By Dr., Ottawa, ON KS 5B6, Canada {wy, rup, oanns}@sce.carleton.ca
More informationEvaluation of an Enhanced Scheme for High-level Nested Network Mobility
IJCSNS Internatonal Journal of Computer Scence and Network Securty, VOL.15 No.10, October 2015 1 Evaluaton of an Enhanced Scheme for Hgh-level Nested Network Moblty Mohammed Babker Al Mohammed, Asha Hassan.
More informationSimulation Based Analysis of FAST TCP using OMNET++
Smulaton Based Analyss of FAST TCP usng OMNET++ Umar ul Hassan 04030038@lums.edu.pk Md Term Report CS678 Topcs n Internet Research Sprng, 2006 Introducton Internet traffc s doublng roughly every 3 months
More informationLoad-Balanced Anycast Routing
Load-Balanced Anycast Routng Chng-Yu Ln, Jung-Hua Lo, and Sy-Yen Kuo Department of Electrcal Engneerng atonal Tawan Unversty, Tape, Tawan sykuo@cc.ee.ntu.edu.tw Abstract For fault-tolerance and load-balance
More informationA Low-Overhead Routing Protocol for Ad Hoc Networks with selfish nodes
A Low-Oerhead Routng Protocol for Ad Hoc Networks wth selfsh nodes Dongbn Wang 1, Xaofeng Wang 2, Xangzhan Yu 3, Kacheng Q 1, Zhbn Xa 1 1 School of Software Engneerng, Bejng Unersty of Posts and Telecommuncatons,100876,
More informationLoad Balancing for Hex-Cell Interconnection Network
Int. J. Communcatons, Network and System Scences,,, - Publshed Onlne Aprl n ScRes. http://www.scrp.org/journal/jcns http://dx.do.org/./jcns.. Load Balancng for Hex-Cell Interconnecton Network Saher Manaseer,
More informationConstructing Minimum Connected Dominating Set: Algorithmic approach
Constructng Mnmum Connected Domnatng Set: Algorthmc approach G.N. Puroht and Usha Sharma Centre for Mathematcal Scences, Banasthal Unversty, Rajasthan 304022 usha.sharma94@yahoo.com Abstract: Connected
More informationMobility Based Routing Protocol with MAC Collision Improvement in Vehicular Ad Hoc Networks
Moblty Based Routng Protocol wth MAC Collson Improvement n Vehcular Ad Hoc Networks Zhhao Dng, Pny Ren, Qnghe Du Shaanx Smart Networks and Ubqutous Access Rearch Center School of Electronc and Informaton
More informationReal-Time Guarantees. Traffic Characteristics. Flow Control
Real-Tme Guarantees Requrements on RT communcaton protocols: delay (response s) small jtter small throughput hgh error detecton at recever (and sender) small error detecton latency no thrashng under peak
More informationSecurity Enhanced Dynamic ID based Remote User Authentication Scheme for Multi-Server Environments
Internatonal Journal of u- and e- ervce, cence and Technology Vol8, o 7 0), pp7-6 http://dxdoorg/07/unesst087 ecurty Enhanced Dynamc ID based Remote ser Authentcaton cheme for ult-erver Envronments Jun-ub
More informationEfficient Distributed File System (EDFS)
Effcent Dstrbuted Fle System (EDFS) (Sem-Centralzed) Debessay(Debsh) Fesehaye, Rahul Malk & Klara Naherstedt Unversty of Illnos-Urbana Champagn Contents Problem Statement, Related Work, EDFS Desgn Rate
More informationRAP. Speed/RAP/CODA. Real-time Systems. Modeling the sensor networks. Real-time Systems. Modeling the sensor networks. Real-time systems:
Speed/RAP/CODA Presented by Octav Chpara Real-tme Systems Many wreless sensor network applcatons requre real-tme support Survellance and trackng Border patrol Fre fghtng Real-tme systems: Hard real-tme:
More informationParallelism for Nested Loops with Non-uniform and Flow Dependences
Parallelsm for Nested Loops wth Non-unform and Flow Dependences Sam-Jn Jeong Dept. of Informaton & Communcaton Engneerng, Cheonan Unversty, 5, Anseo-dong, Cheonan, Chungnam, 330-80, Korea. seong@cheonan.ac.kr
More informationEnhanced Watermarking Technique for Color Images using Visual Cryptography
Informaton Assurance and Securty Letters 1 (2010) 024-028 Enhanced Watermarkng Technque for Color Images usng Vsual Cryptography Enas F. Al rawashdeh 1, Rawan I.Zaghloul 2 1 Balqa Appled Unversty, MIS
More informationDelay Variation Optimized Traffic Allocation Based on Network Calculus for Multi-path Routing in Wireless Mesh Networks
Appl. Math. Inf. Sc. 7, No. 2L, 467-474 2013) 467 Appled Mathematcs & Informaton Scences An Internatonal Journal http://dx.do.org/10.12785/ams/072l13 Delay Varaton Optmzed Traffc Allocaton Based on Network
More informationCS 268: Lecture 8 Router Support for Congestion Control
CS 268: Lecture 8 Router Support for Congeston Control Ion Stoca Computer Scence Dvson Department of Electrcal Engneerng and Computer Scences Unversty of Calforna, Berkeley Berkeley, CA 9472-1776 Router
More informationTsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance
Tsnghua Unversty at TAC 2009: Summarzng Mult-documents by Informaton Dstance Chong Long, Mnle Huang, Xaoyan Zhu State Key Laboratory of Intellgent Technology and Systems, Tsnghua Natonal Laboratory for
More informationA Frame Packing Mechanism Using PDO Communication Service within CANopen
28 A Frame Packng Mechansm Usng PDO Communcaton Servce wthn CANopen Mnkoo Kang and Kejn Park Dvson of Industral & Informaton Systems Engneerng, Ajou Unversty, Suwon, Gyeongg-do, South Korea Summary The
More informationAn Optimal Algorithm for Prufer Codes *
J. Software Engneerng & Applcatons, 2009, 2: 111-115 do:10.4236/jsea.2009.22016 Publshed Onlne July 2009 (www.scrp.org/journal/jsea) An Optmal Algorthm for Prufer Codes * Xaodong Wang 1, 2, Le Wang 3,
More informationResearch Article Energy Efficient Interest Forwarding in NDN-Based Wireless Sensor Networks
Moble Informaton Systems Volume 2016, Artcle ID 3127029, 15 pages http://dx.do.org/10.1155/2016/3127029 Research Artcle Energy Effcent Interest Forwardng n NDN-Based Wreless Sensor Networks Shua Gao, 1
More informationLong Lifetime Routing in Unreliable Wireless Sensor Networks
211 Internatonal Conference on Networkng, Sensng and Control Delft, the Netherlands, 11-13 Aprl 211 Long Lfetme Routng n Unrelable Wreless Sensor Networks Hamed Yousef, Mohammad Hossen Yeganeh, Al Movaghar
More informationBuffer Management Algorithm Design and Implementation Based on Network Processors
(IJCSIS) Internatonal Journal of Computer Scence and Informaton Securty, Buffer Management Algorthm Desgn and Implementaton Based on Network Processors Yechang Fang, Kang Yen Dept. of Electrcal and Computer
More informationAvoiding congestion through dynamic load control
Avodng congeston through dynamc load control Vasl Hnatyshn, Adarshpal S. Seth Department of Computer and Informaton Scences, Unversty of Delaware, Newark, DE 976 ABSTRACT The current best effort approach
More informationA KIND OF ROUTING MODEL IN PEER-TO-PEER NETWORK BASED ON SUCCESSFUL ACCESSING RATE
A KIND OF ROUTING MODEL IN PEER-TO-PEER NETWORK BASED ON SUCCESSFUL ACCESSING RATE 1 TAO LIU, 2 JI-JUN XU 1 College of Informaton Scence and Technology, Zhengzhou Normal Unversty, Chna 2 School of Mathematcs
More informationUsing Particle Swarm Optimization for Enhancing the Hierarchical Cell Relay Routing Protocol
2012 Thrd Internatonal Conference on Networkng and Computng Usng Partcle Swarm Optmzaton for Enhancng the Herarchcal Cell Relay Routng Protocol Hung-Y Ch Department of Electrcal Engneerng Natonal Sun Yat-Sen
More informationVideo Proxy System for a Large-scale VOD System (DINA)
Vdeo Proxy System for a Large-scale VOD System (DINA) KWUN-CHUNG CHAN #, KWOK-WAI CHEUNG *# #Department of Informaton Engneerng *Centre of Innovaton and Technology The Chnese Unversty of Hong Kong SHATIN,
More informationRelational Analysis based Concurrent Multipath Transfer over Heterogeneous Vehicular Networks
www.ijcsi.org 1 Relatonal Analyss based Concurrent Multpath Transfer over Heterogeneous Vehcular Networks Yuanlong Cao 1, Changqao Xu 1,2, Janfeng Guan 1, Ja Zhao 3, We Quan 1, Mngchuan Zhang 1 and Hongke
More informationDEAR: A DEVICE AND ENERGY AWARE ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS
DEAR: A DEVICE AND ENERGY AWARE ROUTING PROTOCOL FOR MOBILE AD HOC NETWORKS Arun Avudanayagam Yuguang Fang Wenjng Lou Department of Electrcal and Computer Engneerng Unversty of Florda Ganesvlle, FL 3261
More informationQuantifying Performance Models
Quantfyng Performance Models Prof. Danel A. Menascé Department of Computer Scence George Mason Unversty www.cs.gmu.edu/faculty/menasce.html 1 Copyrght Notce Most of the fgures n ths set of sldes come from
More informationA Semi-Distributed Load Balancing Architecture and Algorithm for Heterogeneous Wireless Networks
A Sem-Dstrbuted oad Balancng Archtecture and Algorthm for Heterogeneous reless Networks Md. Golam Rabul Ala Choong Seon Hong * Kyung Hee Unversty, Korea rob@networkng.khu.ac.kr, cshong@khu.ac.kr Abstract
More informationPriority-Based Scheduling Algorithm for Downlink Traffics in IEEE Networks
Prorty-Based Schedulng Algorthm for Downlnk Traffcs n IEEE 80.6 Networks Ja-Mng Lang, Jen-Jee Chen, You-Chun Wang, Yu-Chee Tseng, and Bao-Shuh P. Ln Department of Computer Scence Natonal Chao-Tung Unversty,
More informationImprovement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration
Improvement of Spatal Resoluton Usng BlockMatchng Based Moton Estmaton and Frame Integraton Danya Suga and Takayuk Hamamoto Graduate School of Engneerng, Tokyo Unversty of Scence, 6-3-1, Nuku, Katsuska-ku,
More informationUB at GeoCLEF Department of Geography Abstract
UB at GeoCLEF 2006 Mguel E. Ruz (1), Stuart Shapro (2), June Abbas (1), Slva B. Southwck (1) and Davd Mark (3) State Unversty of New York at Buffalo (1) Department of Lbrary and Informaton Studes (2) Department
More informationA Fast Visual Tracking Algorithm Based on Circle Pixels Matching
A Fast Vsual Trackng Algorthm Based on Crcle Pxels Matchng Zhqang Hou hou_zhq@sohu.com Chongzhao Han czhan@mal.xjtu.edu.cn Ln Zheng Abstract: A fast vsual trackng algorthm based on crcle pxels matchng
More informationImproved Resource Allocation Algorithms for Practical Image Encoding in a Ubiquitous Computing Environment
JOURNAL OF COMPUTERS, VOL. 4, NO. 9, SEPTEMBER 2009 873 Improved Resource Allocaton Algorthms for Practcal Image Encodng n a Ubqutous Computng Envronment Manxong Dong, Long Zheng, Kaoru Ota, Song Guo School
More informationSimulator for Energy Efficient Clustering in Mobile Ad Hoc Networks
Smulator for Energy Effcent Clusterng n Moble Ad Hoc Networks Amt Kumar 1 Dhrendra Srvastav 2 and Suchsmta Chnara 3 Department of Computer Scence and Engneerng, Natonal Insttute of Technology, Rourkela,
More informationNetwork Coding as a Dynamical System
Network Codng as a Dynamcal System Narayan B. Mandayam IEEE Dstngushed Lecture (jont work wth Dan Zhang and a Su) Department of Electrcal and Computer Engneerng Rutgers Unversty Outlne. Introducton 2.
More informationPerformance Improvement of Direct Diffusion Algorithm in Sensor Networks
Mddle-East Journal of Scentfc Research 2 (): 566-574, 202 ISSN 990-9233 IDOSI Publcatons, 202 DOI: 0.5829/dos.mejsr.202.2..43 Performance Improvement of Drect Dffuson Algorthm n Sensor Networks Akbar Bemana
More informationTECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS. Muradaliyev A.Z.
TECHNIQUE OF FORMATION HOMOGENEOUS SAMPLE SAME OBJECTS Muradalyev AZ Azerbajan Scentfc-Research and Desgn-Prospectng Insttute of Energetc AZ1012, Ave HZardab-94 E-mal:aydn_murad@yahoocom Importance of
More informationCompiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz
Compler Desgn Sprng 2014 Regster Allocaton Sample Exercses and Solutons Prof. Pedro C. Dnz USC / Informaton Scences Insttute 4676 Admralty Way, Sute 1001 Marna del Rey, Calforna 90292 pedro@s.edu Regster
More informationPopularity and gain based caching scheme for information-centric networks
Research Artcle Internatonal Journal of Advanced Computer Research, Vol 7(30) ISSN (Prnt): 2249-7277 ISSN (Onlne): 2277-7970 http://dx.do.org/10.19101/ijacr.2017.730015 Popularty and gan based cachng scheme
More informationSteps for Computing the Dissimilarity, Entropy, Herfindahl-Hirschman and. Accessibility (Gravity with Competition) Indices
Steps for Computng the Dssmlarty, Entropy, Herfndahl-Hrschman and Accessblty (Gravty wth Competton) Indces I. Dssmlarty Index Measurement: The followng formula can be used to measure the evenness between
More informationVirtual Machine Migration based on Trust Measurement of Computer Node
Appled Mechancs and Materals Onlne: 2014-04-04 ISSN: 1662-7482, Vols. 536-537, pp 678-682 do:10.4028/www.scentfc.net/amm.536-537.678 2014 Trans Tech Publcatons, Swtzerland Vrtual Machne Mgraton based on
More informationCluster Analysis of Electrical Behavior
Journal of Computer and Communcatons, 205, 3, 88-93 Publshed Onlne May 205 n ScRes. http://www.scrp.org/ournal/cc http://dx.do.org/0.4236/cc.205.350 Cluster Analyss of Electrcal Behavor Ln Lu Ln Lu, School
More informationHigh Performance DiffServ Mechanism for Routers and Switches: Packet Arrival Rate Based Queue Management for Class Based Scheduling
Hgh Performance DffServ Mechansm for Routers and Swtches: Packet Arrval Rate Based Queue Management for Class Based Schedulng Bartek Wydrowsk and Moshe Zukerman ARC Specal Research Centre for Ultra-Broadband
More informationTerm Weighting Classification System Using the Chi-square Statistic for the Classification Subtask at NTCIR-6 Patent Retrieval Task
Proceedngs of NTCIR-6 Workshop Meetng, May 15-18, 2007, Tokyo, Japan Term Weghtng Classfcaton System Usng the Ch-square Statstc for the Classfcaton Subtask at NTCIR-6 Patent Retreval Task Kotaro Hashmoto
More informationMinimum Cost Optimization of Multicast Wireless Networks with Network Coding
Mnmum Cost Optmzaton of Multcast Wreless Networks wth Network Codng Chengyu Xong and Xaohua L Department of ECE, State Unversty of New York at Bnghamton, Bnghamton, NY 13902 Emal: {cxong1, xl}@bnghamton.edu
More informationDESIGNING TRANSMISSION SCHEDULES FOR WIRELESS AD HOC NETWORKS TO MAXIMIZE NETWORK THROUGHPUT
DESIGNING TRANSMISSION SCHEDULES FOR WIRELESS AD HOC NETWORKS TO MAXIMIZE NETWORK THROUGHPUT Bran J. Wolf, Joseph L. Hammond, and Harlan B. Russell Dept. of Electrcal and Computer Engneerng, Clemson Unversty,
More informationComparisons of Packet Scheduling Algorithms for Fair Service among Connections on the Internet
Comparsons of Packet Schedulng Algorthms for Far Servce among Connectons on the Internet Go Hasegawa, Takahro Matsuo, Masayuk Murata and Hdeo Myahara Department of Infomatcs and Mathematcal Scence Graduate
More informationA New Token Allocation Algorithm for TCP Traffic in Diffserv Network
A New Token Allocaton Algorthm for TCP Traffc n Dffserv Network A New Token Allocaton Algorthm for TCP Traffc n Dffserv Network S. Sudha and N. Ammasagounden Natonal Insttute of Technology, Truchrappall,
More informationThe Impact of Delayed Acknowledgement on E-TCP Performance In Wireless networks
The mpact of Delayed Acknoledgement on E-TCP Performance n Wreless netorks Deddy Chandra and Rchard J. Harrs School of Electrcal and Computer System Engneerng Royal Melbourne nsttute of Technology Melbourne,
More informationEFT: a high throughput routing metric for IEEE s wireless mesh networks
Ann. Telecommun. (2010) 65:247 262 DOI 10.1007/s12243-009-0130-1 EFT: a hgh throughput routng metrc for IEEE 802.11s wreless mesh networks Md. Sharful Islam Muhammad Mahbub Alam Md. Abdul Hamd Choong Seon
More informationScheduling and queue management. DigiComm II
Schedulng and queue management Tradtonal queung behavour n routers Data transfer: datagrams: ndvdual packets no recognton of flows connectonless: no sgnallng Forwardng: based on per-datagram forwardng
More informationSecurity Vulnerabilities of an Enhanced Remote User Authentication Scheme
Contemporary Engneerng Scences, Vol. 7, 2014, no. 26, 1475-1482 HIKARI Ltd, www.m-hkar.com http://dx.do.org/10.12988/ces.2014.49186 Securty Vulnerabltes of an Enhanced Remote User Authentcaton Scheme Hae-Soon
More informationFAHP and Modified GRA Based Network Selection in Heterogeneous Wireless Networks
2017 2nd Internatonal Semnar on Appled Physcs, Optoelectroncs and Photoncs (APOP 2017) ISBN: 978-1-60595-522-3 FAHP and Modfed GRA Based Network Selecton n Heterogeneous Wreless Networks Xaohan DU, Zhqng
More informationA Binarization Algorithm specialized on Document Images and Photos
A Bnarzaton Algorthm specalzed on Document mages and Photos Ergna Kavalleratou Dept. of nformaton and Communcaton Systems Engneerng Unversty of the Aegean kavalleratou@aegean.gr Abstract n ths paper, a
More informationGoals and Approach Type of Resources Allocation Models Shared Non-shared Not in this Lecture In this Lecture
Goals and Approach CS 194: Dstrbuted Systems Resource Allocaton Goal: acheve predcable performances Three steps: 1) Estmate applcaton s resource needs (not n ths lecture) 2) Admsson control 3) Resource
More informationPerformance Comparison of a QoS Aware Routing Protocol for Wireless Sensor Networks
Communcatons and Network, 2016, 8, 45-55 Publshed Onlne February 2016 n ScRes. http://www.scrp.org/journal/cn http://dx.do.org/10.4236/cn.2016.81006 Performance Comparson of a QoS Aware Routng Protocol
More informationConnection-information-based connection rerouting for connection-oriented mobile communication networks
Dstrb. Syst. Engng 5 (1998) 47 65. Prnted n the UK PII: S0967-1846(98)90513-7 Connecton-nformaton-based connecton reroutng for connecton-orented moble communcaton networks Mnho Song, Yanghee Cho and Chongsang
More informationA Low Energy Algorithm of Wireless Sensor Networks Based on Fractal Dimension
Sensors & Transducers 2014 by IFSA Publshng, S. L. http://www.sensorsportal.com A Low Energy Algorthm of Wreless Sensor Networks ased on Fractal Dmenson Tng Dong, Chunxao Fan, Zhgang Wen School of Electronc
More informationA Gnutella-based P2P System Using Cross-Layer Design for MANET
Internatonal Journal of lectroncs, Crcuts and Systems Volume 1 Number 3 A Gnutella-based P2P System Usng Cross-Layer esgn for MANT Ho-Hyun Park, Woosk Km, Mae Woo Abstract It s expected that ubqutous era
More informationIP Camera Configuration Software Instruction Manual
IP Camera 9483 - Confguraton Software Instructon Manual VBD 612-4 (10.14) Dear Customer, Wth your purchase of ths IP Camera, you have chosen a qualty product manufactured by RADEMACHER. Thank you for the
More informationAvailable online at Available online at Advanced in Control Engineering and Information Science
Avalable onlne at wwwscencedrectcom Avalable onlne at wwwscencedrectcom Proceda Proceda Engneerng Engneerng 00 (2011) 15000 000 (2011) 1642 1646 Proceda Engneerng wwwelsevercom/locate/proceda Advanced
More informationA XML-Based Composition Event Approach as an Integration and Cooperation Middleware
A XML-Based Composton Event Approach as an Integraton and Cooperaton Mddleware Gang Xu, JanGang Ma, and Tao Huang Technology Center of Software Engneerng, Insttute of Software, Chnese Academy of Scences,
More informationContent Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers
IOSR Journal of Electroncs and Communcaton Engneerng (IOSR-JECE) e-issn: 78-834,p- ISSN: 78-8735.Volume 9, Issue, Ver. IV (Mar - Apr. 04), PP 0-07 Content Based Image Retreval Usng -D Dscrete Wavelet wth
More informationRouting in Degree-constrained FSO Mesh Networks
Internatonal Journal of Hybrd Informaton Technology Vol., No., Aprl, 009 Routng n Degree-constraned FSO Mesh Networks Zpng Hu, Pramode Verma, and James Sluss Jr. School of Electrcal & Computer Engneerng
More informationIR-HARQ vs. Joint Channel-Network coding for Cooperative Wireless Communication
Cyber Journals: ultdscplnary Journals n Scence and Technology, Journal of Selected Areas n Telecommuncatons (JSAT), August Edton, 2 IR-HARQ vs. Jont Channel-Network codng for Cooperatve Wreless Communcaton
More informationRelated-Mode Attacks on CTR Encryption Mode
Internatonal Journal of Network Securty, Vol.4, No.3, PP.282 287, May 2007 282 Related-Mode Attacks on CTR Encrypton Mode Dayn Wang, Dongda Ln, and Wenlng Wu (Correspondng author: Dayn Wang) Key Laboratory
More informationIJCTA Nov-Dec 2016 Available
Dr K Santh et al, Internatonal Journal of Computer Technology & Applcatons,Vol 7(6),773-779 Optmzed Route Technque for DSR Routng Protocol n MANET Dr.K.Santh, Assocate Professor, Dept. of Computer Scence,
More informationFast Retransmission of Real-Time Traffic in HIPERLAN/2 Systems
Fast Retransmsson of Real-Tme Traffc n HIPERLAN/ Systems José A Afonso and Joaqum E Neves Department of Industral Electroncs Unversty of Mnho, Campus de Azurém 4800-058 Gumarães, Portugal {joseafonso,
More informationOverview. Basic Setup [9] Motivation and Tasks. Modularization 2008/2/20 IMPROVED COVERAGE CONTROL USING ONLY LOCAL INFORMATION
Overvew 2 IMPROVED COVERAGE CONTROL USING ONLY LOCAL INFORMATION Introducton Mult- Smulator MASIM Theoretcal Work and Smulaton Results Concluson Jay Wagenpfel, Adran Trachte Motvaton and Tasks Basc Setup
More informationA Distributed Dynamic Bandwidth Allocation Algorithm in EPON
www.ccsenet.org/mas Modern Appled Scence Vol. 4, o. 7; July 2010 A Dstrbuted Dynamc Bandwdth Allocaton Algorthm n EPO Feng Cao, Demng Lu, Mnmng Zhang, Kang Yang & Ynbo Qan School of Optoelectronc Scence
More informationA Fair MAC Algorithm with Dynamic Priority for e WLANs
29 Internatonal Conference on Communcaton Software and Networks A Far MAC Algorthm wth Dynamc Prorty for 82.e WLANs Rong He, Xumng Fang Provncal Key Lab of Informaton Codng & Transmsson, Southwest Jaotong
More informationFINDING IMPORTANT NODES IN SOCIAL NETWORKS BASED ON MODIFIED PAGERANK
FINDING IMPORTANT NODES IN SOCIAL NETWORKS BASED ON MODIFIED PAGERANK L-qng Qu, Yong-quan Lang 2, Jng-Chen 3, 2 College of Informaton Scence and Technology, Shandong Unversty of Scence and Technology,
More informationCellular Traffic Offloading through Opportunistic Communications Based on Human Mobility
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS VOL. 9, NO. 3, Mar. 2015 872 Copyrght c 2015 KSII Cellular Traffc Offloadng through Opportunstc Communcatons Based on Human Moblty Zhgang L 1, Yan
More informationEfficient Load-Balanced IP Routing Scheme Based on Shortest Paths in Hose Model. Eiji Oki May 28, 2009 The University of Electro-Communications
Effcent Loa-Balance IP Routng Scheme Base on Shortest Paths n Hose Moel E Ok May 28, 2009 The Unversty of Electro-Communcatons Ok Lab. Semnar, May 28, 2009 1 Outlne Backgroun on IP routng IP routng strategy
More informationHybrid Job Scheduling Mechanism Using a Backfill-based Multi-queue Strategy in Distributed Grid Computing
IJCSNS Internatonal Journal of Computer Scence and Network Securty, VOL.12 No.9, September 2012 39 Hybrd Job Schedulng Mechansm Usng a Backfll-based Mult-queue Strategy n Dstrbuted Grd Computng Ken Park
More informationResearch Article Information Transmission Probability and Cache Management Method in Opportunistic Networks
Wreless Communcatons and Moble Computng Volume 2018, Artcle ID 1571974, 9 pages https://do.org/10.1155/2018/1571974 Research Artcle Informaton Transmsson Probablty and Cache Management Method n Opportunstc
More informationQuantifying Responsiveness of TCP Aggregates by Using Direct Sequence Spread Spectrum CDMA and Its Application in Congestion Control
Quantfyng Responsveness of TCP Aggregates by Usng Drect Sequence Spread Spectrum CDMA and Its Applcaton n Congeston Control Mehd Kalantar Department of Electrcal and Computer Engneerng Unversty of Maryland,
More informationIMPACT OF RADIO MAP SIMULATION ON POSITIONING IN INDOOR ENVIRONTMENT USING FINGER PRINTING ALGORITHMS
IMPACT OF RADIO MAP SIMULATION ON POSITIONING IN INDOOR ENVIRONTMENT USING FINGER PRINTING ALGORITHMS Jura Macha and Peter Brda Unversty of Zlna, Faculty of Electrcal Engneerng, Department of Telecommuncatons
More informationUsing Memory and Random Sampling for Load Balancing in High-radix Switches
Unversty of Toronto SNL Techncal Report TR-SN-UT-7--2. c Soudeh Ghorban Khaled et al. Usng Memory and Random Samplng for Load Balancng n Hgh-radx Swtches Soudeh Ghorban Khaled, Yashar Ganjal Department
More informationA Fair Access Mechanism Based on TXOP in IEEE e Wireless Networks
11 Internatonal Journal of Communcaton Networks and Informaton Securty (IJCNIS) Vol. 8, No. 1, Aprl 16 A Far Access Mechansm Based on TXOP n IEEE 8.11e Wreless Networks Marjan Yazdan 1, Maryam Kamal, Neda
More informationNETWORK LIFETIME AND ENERGY EFFICIENT MAXIMIZATION FOR HYBRID WIRELESS NETWORK
NETWORK LIFETIME AND ENERGY EFFICIENT MAXIMIZATION FOR HYBRID WIRELESS NETWORK Prasana kumar. S 1, Deepak.N 2, Tajudeen. H 3, Sakthsundaram. G 4 1,2,3,4Student, Department of Electroncs and Communcaton,
More informationVol. 4, No. 4 April 2013 ISSN Journal of Emerging Trends in Computing and Information Sciences CIS Journal. All rights reserved.
WP A Tree Based Response Tme Algorthm for Event Drven Wreless Sensor Networks 1 Itu Sngdh, 2 Saurabh Kumar 1 Department of Computer Scence and Engneerng, Brla Insttute of Technology, Mesra, Ranch, Jharkhand,
More informationAdaptive Energy and Location Aware Routing in Wireless Sensor Network
Adaptve Energy and Locaton Aware Routng n Wreless Sensor Network Hong Fu 1,1, Xaomng Wang 1, Yngshu L 1 Department of Computer Scence, Shaanx Normal Unversty, X an, Chna, 71006 fuhong433@gmal.com {wangxmsnnu@hotmal.cn}
More informationResource-Efficient Multi-Source Authentication Utilizing Split-Join One-Way Key Chain
Resource-Effcent Mult-Source Authentcaton Utlzng Splt-Jon One-Way ey Chan Seonho Cho, un Sun, Hyeonsang Eom 3 Department of Computer Scence, Bowe State Unversty, Bowe, Maryland, U.S.A. Center for Secure
More informationA Saturation Binary Neural Network for Crossbar Switching Problem
A Saturaton Bnary Neural Network for Crossbar Swtchng Problem Cu Zhang 1, L-Qng Zhao 2, and Rong-Long Wang 2 1 Department of Autocontrol, Laonng Insttute of Scence and Technology, Benx, Chna bxlkyzhangcu@163.com
More informationAn IPv6-Oriented IDS Framework and Solutions of Two Problems
An IPv6-Orented IDS Framework and Solutons of Two Problems We LI, Zhy FANG, Peng XU and ayang SI,2 School of Computer Scence and Technology, Jln Unversty Changchun, 3002, P.R.Chna 2 Graduate Unversty of
More informationX- Chart Using ANOM Approach
ISSN 1684-8403 Journal of Statstcs Volume 17, 010, pp. 3-3 Abstract X- Chart Usng ANOM Approach Gullapall Chakravarth 1 and Chaluvad Venkateswara Rao Control lmts for ndvdual measurements (X) chart are
More informationOracle Database: SQL and PL/SQL Fundamentals Certification Course
Oracle Database: SQL and PL/SQL Fundamentals Certfcaton Course 1 Duraton: 5 Days (30 hours) What you wll learn: Ths Oracle Database: SQL and PL/SQL Fundamentals tranng delvers the fundamentals of SQL and
More informationPERFORMANCE ANALYSIS OF ROUTING ALGORITHMS OF RD-C/TDMA PACKET RADIO NETWORKS UNDER DYNAMIC RANDOM TOPOLOGY1
PERFORMANCE ANALYSIS OF ROUTING ALGORITHMS OF 1- RD-C/TDMA PACKET RADIO NETWORKS UNDER DYNAMIC RANDOM TOPOLOGY1 A Thess Presented to The Faculty of the College of Engneerng and Technology Oho Unversty
More informationJournal of Network and Computer Applications
Journal of Network and Computer Applcatons 37 (2014) 216 228 Contents lsts avalable at ScenceDrect Journal of Network and Computer Applcatons journal homepage: www.elsever.com/locate/jnca HOCA: Healthcare
More informationClustered Multimedia NOD : Popularity-Based Article Prefetching and Placement
Clustered Multmeda NOD : Popularty-Based Artcle Prefetchng and Placement Y.J.Km, T.U.Cho, K.O.Jung, Y.K.Kang, S.H.Park, K-Dong Chung Department of Computer Scence, Pusan Natonal Unversty, Korea Abstract
More informationDominating Set and Network Coding-based Routing in Wireless Mesh Networks
Domnatng Set and Network Codng-based Routng n Wreless Mesh Networks Jng Chen, Kun He, Ruyng Du, Mnghu Zheng, Yang Xang, Senor Member, IEEE, Quan Yuan Abstract Wreless mesh networks are wdely appled n many
More informationReducing Frame Rate for Object Tracking
Reducng Frame Rate for Object Trackng Pavel Korshunov 1 and We Tsang Oo 2 1 Natonal Unversty of Sngapore, Sngapore 11977, pavelkor@comp.nus.edu.sg 2 Natonal Unversty of Sngapore, Sngapore 11977, oowt@comp.nus.edu.sg
More informationModule Management Tool in Software Development Organizations
Journal of Computer Scence (5): 8-, 7 ISSN 59-66 7 Scence Publcatons Management Tool n Software Development Organzatons Ahmad A. Al-Rababah and Mohammad A. Al-Rababah Faculty of IT, Al-Ahlyyah Amman Unversty,
More informationAdvanced Computer Networks
Char of Network Archtectures and Servces Department of Informatcs Techncal Unversty of Munch Note: Durng the attendance check a stcker contanng a unque QR code wll be put on ths exam. Ths QR code contans
More informationA New Transaction Processing Model Based on Optimistic Concurrency Control
A New Transacton Processng Model Based on Optmstc Concurrency Control Wang Pedong,Duan Xpng,Jr. Abstract-- In ths paper, to support moblty and dsconnecton of moble clents effectvely n moble computng envronment,
More informationWireless Sensor Network Localization Research
Sensors & Transducers 014 by IFSA Publshng, S L http://wwwsensorsportalcom Wreless Sensor Network Localzaton Research Lang Xn School of Informaton Scence and Engneerng, Hunan Internatonal Economcs Unversty,
More informationBioTechnology. An Indian Journal FULL PAPER. Trade Science Inc.
[Type text] [Type text] [Type text] ISSN : 0974-74 Volume 0 Issue BoTechnology 04 An Indan Journal FULL PAPER BTAIJ 0() 04 [684-689] Revew on Chna s sports ndustry fnancng market based on market -orented
More information