Dr. D. Ravindran, M. Ramya
|
|
- Jodie Edwards
- 6 years ago
- Views:
Transcription
1 2016 IJSRSET Volume 2 Issue 4 Prit ISSN: Olie ISSN : Themed Sectio: Egieerig ad Techology Moitorig ad Normalizatio of the Loaded Servers By Load Balacig Dr. D. Ravidra, M. Ramya School of Computig Sciece, St. Joseph s College, Trichy, Tamil Nadu Idia ABSTRACT Cloud computig is a ew computatioal model which is primarily based o distributed computig. The services ad applicatios are accessible to the differet cliets usig proper iteret protocol suit ad etworkig stadards. Though it has may advatages the cliet has to cosider also the drawbacks of the services provided by the cloud. Some of the issues have to cosidered like security, scalability, cost, SLA, etc. Most of the cliet users have to otice the performace of the cloud that the provider is issuig to the cliet. This paper describes about oe of the factors whe cosidered for the performace of the services provided. Scalability is the commo factor which affects the satisfactio of the cloud users. By reviewig the cloud scalability factors, moitorig the server that are distributed over the etwork ad its load balacig issue of the servers. This paper greatly deals with the ormalizatio of the cloud servers. Keywords : Performace; Scalability; Load Balacig; Moitorig; Normalize; Status I. INTRODUCTION Cloud computig are outlied as a computig surroudigs wherever computig wats by oe party are ofte outsourced to a differet party ad oce would like be arise to use the computig power or resources like iformatio or s, they will access them via web[1]. Cloud computig is a model for eablig uiversal, suitable, o demad etwork accesses to a shared pool of cofigurable computig resources like etworks, servers, storage, applicatios, ad services that ca be rapidly equipped ad released with less maagemet effort or service provider itervetio. Moitorig of Cloud is a task of paramout importace for both Providers ad Cosumers. O the oe side, it is a key tool for cotrollig ad maagig hardware ad software ifrastructures; o the other side, it provides iformatio ad Key Performace Idicators (KPIs) for both platforms ad applicatios. Moitorig is clearly istrumetal for all the activities covered by the role of Cloud Auditor. I more geeral terms, Cloud Computig ivolves may activities for which moitorig are a essetial task. II. METHODS AND MATERIAL A. Related Work M. Kriushath et al.(2015)[2] describes the auto scalig values ad that settig dyamic threshold values i a cloud eviromet should utilize the available resources completely ad prevets the physical server damage. It maipulates the provider to accommodate more users i a physical server ad also reduces the cost of the service. I this paper, the authors elaborate their cocept i the area to set a dyamic threshold value for the physical server, load balacer behavior idetifier mechaism is proposed to geerate the rule ad provide the resources dyamically. Major drawback is that it ca t be used i cloud data. Abhijit Aditya et al. (2015)[3] presets the basics of cloud computig like it s characteristics, deploymets models, service models. They are describig the each service delivery models characteristics, its vedor types their advatages ad disadvatages. The they describig about where the load problems are occurrig i the system ad so the challeges i keepig mid. The it describes each ad every types IJSRSET Received : 19 August 2016 Accepted : 25 August 2016 July-August 2016 [(2)4: ] 781
2 of algorithm i load balacig separately. Their properties, advatages, disadvatages are also described. They specially described about these algorithms based o the time factor. Po-Huei Liag et al.(2015)[4] presets a framework for global server usig for load balacig of the web sites i a cloud with two-level load balacig model. The proposed framework is iteded for adjustig a ope-source load-balacig system ad while the customers eed more load balacers for icreasig the availability, this framework allows the etwork service provider to deploy the load balacer i differet data ceters dyamically. Further they described the load balacig algorithms with the various cloud service providers alog with its commuicatio iterface. C. Load Balacig Approaches Static ad dyamic are the two type of load balacig approaches used i cloud computig[7,8]. Static Approach This approach is maily defied i the desig or implemetatio of system. Static load balacig algorithm divides the traffic equivaletly amog all users. It uses oly iformatio about the average behavior of the system. These are much simpler ad igore the curret state or the load of the ode i the system. Dyamic Approach Radha Ramai (2015)[5] presets a cocept of Cloud Computig alog with load balacig. The mai thig is cosidered i this paper is load balacig algorithm. There are various metioed algorithms i cloud computig which cosists of may factors like scalability, ehaced resource utilizatio, high performace ad improved respose time. Further this paper provides the isight about the policies, characteristics, goals, curret state classificatio, eed for load balacig. They have proposed a frame work for givig the ew algorithm. B. Scalability Scalability is the capability of a system, etwork, or process to hadle a growig amout of work, or its potetial to be elarged i order to accommodate that growth[6]. For example, it ca refer to the capability of a system to icrease its total output uder a icreased load. Cloud balacig is a computer etworkig method to distribute work load across multiple computer or a computer cluster, etwork lik, cetral processig uits, disk drivers or other resources to achieve optimal resource utilizatio, maximize throughput, miimize respose time ad avoid overload. Load balacig helps i prevetig bottleeck of system. First step, algorithm is desiged based o performace i heterogeeous eviromet of hosts The ext process is to study the above algorithm with the effect of CPU utilizatio. The based o the algorithm result, the algorithm will make the decisio about the ormalizig factor. I this approach, the curret state of the system was cosidered durig load balacig decisio. It is more suitable for widely distributed system such a cloud computig Dyamic approach has two parts[7] Cetralized Approach: Oly a sigle ode is resposible for maagig ad distributio withi the whole system. Distributed Approach: Each ode idepedetly builds its ow load vector. Vector collectig load iformatio of other ode. All decisio is made locally usig local load vector. D. Factors To Be Cosidered Performace metrics also play a major role i moitorig techiques for resource maagemet. As per the survey, it is cosidered as secod issue i cloud computig. Poor performace ca be caused by lack of resources such as disk space, limited badwidth, lower CPU speed, memory, etwork coectios etc. The data itesive applicatios are more challegig to provide proper resources. There is a series of factors that affect the performace such as [9]: Security. Recovery ad Fault tolerace. Service level agreemets. Badwidth. Storage capacity. Physical memory. Disk capacity. Processor Power. 782
3 Availability. Number of users ad Workload. Usability. Scalability. Locatio, data ceters ad their distace from a user s locatio. Ad there is a series of criteria for evaluatig the performace such as[10]: Average respose time per uit time. Average waitig time per uit time. Workload to be serviced per secod (Mbps) or a uit of time. Throughput (Req / Sec). The average time of processig (exe / sec). Percetage of CPU utilizatio. The umber of requests executed per uit time. The umber of requests per uit time buffer. The umber of rejected requests per uit time. E. Workload Calculatio Workload coditio i load balacer varies from small to heavy request[11]. As per the performace details, the proposed algorithm is based o the percetage of CPU utilizatio. To predict the workload ad allocate the suitable resources, load balacig ad scalig mechaisms are used. Scalig ca be doe i two ways called reactive ad proactive respectively. Reactive techiques are always time cosumig also mislay user satisfactio[12]. Proactive techiques are always preferable to avoid such complicatios. Workload has bee predicted usig CPU usage, Memory usage ad Network usage. CU = CPU utilizatio V = Total CPU s used Memory Load Memory is aother importat part of the computer all the work by the cliet is stored ad retrieved o ad from the memory respectively. So without the memory usage the workig process of the whole system become dazed. Memory load is measured as where MEM USED = memory used TOT MEM = total memory Memory = MEM USED/TOT MEM Network Load Network is the techique by which the systems are itercoected. Network systems ca be loaded if there are too may systems i a coditio to execute. The cliet has to cosider the etwork badwidth whe the cliet is goig to calculate the load. Network load measured as Network = NET BANDWIDTH / TOT BANDWIDTH where NET BANDWIDTH = etwork badwidth used TOT BANDWIDTH = total amout of etwork badwidth. CPU Load: F. Dyamic Normalized Algorithm The system will have may processes to execute i a sigle system. The task maager will show may variables like the CPU utilizatio of the resources, memory usage, etc. The CPU load plays the major role i the executio of etire system. Its utilizatio has great impact o the performace of a system. The two distiguished algorithm has proposed for the cloud service providers. The system is maitaied o ormalized mode o these two proposals [13]. The CPU usage has got by the performace couter. From the each IP address the CPU load has bee calculated by the above algorithm[14,15]. CPU load is measured as where = the umber of odes, CPU = (CU/V) Aget1: Begi While all the servers are i ruig state Get CPU usage from each system 783
4 Calculate the CPU load The CPU load has bee aalyzed for the differet request If (CPU load>=upper threshold) Status is OVERLOAD Else if (CPU load <Upper threshold && CPU load>ormal value) Status is NORMAL Else Status is UNDERFLOW Ed Aget 2: If (Status==OVERFLOW) Server has to Sleep for a while Else Server works i balaced mode III. RESULTS AND DISCUSSION A. Process Diagram To make the system as i the ormalized state, a check has to be performed[16]. The process of makig the system as ormalized is give i a flow diagram as follows Figure 2. Chart for CPU load IV. CONCLUSION Load balacig is cosidered as the mai factor i performace issues. Here, load balacig is aalysed o the IaaS level. There may be differet load factors the user ca cosider. I this paper, the CPU load ad the way to ormalize the executio of the CPU are measured. The whole implemetatio improves the efficiecy of the distributed CPU s. Though it has good efficiecy, the request has to wait for the overloaded server to become load balaced. Therefore, the task legth ad waitig time is icreased. Here this cocept is implemeted oly o CPU load; i future, the authors ca try this algorithm usig all the workloads of the system. V. REFERENCES Figure 1. Process diagram B. Aalysis of The Load Balacer The resources are aalyzed i this paper ad it is based o oly oe factor i.e. CPU performace [16]. The followig performace chart is studied based upo the time ad the CPU load. The load has bee differetiated based o the above algorithm. This chart shows the CPU utilizatio of the various servers coected i the etwork. [1] Mohd Hairy Mohamaddiah, Azizol Abdullah, Shamala Subramaiam, Masida Hussi, A Survey O Resource Allocatio Ad Moitorig I Cloud Computig, Iteratioal Joural Of Machie Learig Ad Computig, Vol4, No1, February 2014, DOI: /IJMLC.2014.V4.382 [2] M.Kriushath, DrLArockiam, Load Balacer Behavior Idetifier (Lobbi) For Dyamic Threshold Based Auto-Scalig I Cloud, ICCCI -2015, Ja08 10, 2015, Coimbatore, INDIA. [3] Abhijit Aditya, Uddalak Chatterjee, Sehasis Gupta, A Comparative Study Of Differet Static Ad Dyamic Load Balacig Algorithm I Cloud Computig With Special Emphasis O Time Factor, Iteratioal Joural Of Curret Egieerig Ad Techology E-ISSN , P-ISSN [4] Po-Huei Liag1 Ad Jia-Mi Yag, Evaluatio Of Two-Level Global Load 784
5 Balacig Framework I Cloud Eviromet, Iteratioal Joural Of Computer Sciece & Iformatio Techology (IJCSIT) Vol 7, No 2, April 2015, DOI: /Ijcsit [5] Radha Ramai Malladi, A Approach to Load Balacig I Cloud Computig, Iteratioal Joural of Iovative Research i Sciece, Egieerig ad Techology, ISSN(Olie): , Vol4, Issue 5, May [6] Priyaka PKukade, Geetajali Kale, Survey Of Load Balacig Ad Scalig Approaches I Cloud, Iteratioal Joural Of Emergig Treds & Techology I Computer Sciece (IJETTCS), Volume 4, Issue 1, Jauary-February 2015 ISSN [7] Weiku Wag, Giuliao Casale, Evaluatig Weighted Roud Robi Load Balacig For Cloud Web Services. [8] Jiteder Grover, Shivagi Katiyar, Aget Based Dyamic Load Balacig I Cloud Computig, [9] Aarti Sigh, Dimple Jueja, Maisha Malhotra, Autoomous Aget Based Load Balacig Algorithm I Cloud Computig, ICACTA 2015, Procedia Computer Sciece 45 ( 2015 ) [10] Hardi SSaghavi, DrTejas PPatalia, Load Balacig Algorithms For The Cloud Computig Eviromet: A Review, Joural Of Iformatio, Kowledge Ad Research I Computer Egieerig, ISSN: Nov 14 To Oct 15 Volume 03, Issue 02 Page 591. [11] Amal Zaouch, Faouzia Beabbou, Load Balacig For Improved Quality Of Service I The Cloud, Iteratioal Joural Of Advaced Computer Sciece Ad Applicatios, Vol6, No7, 2015 [12] Shikha Gupta, Suma Saghwa, Load Balacig I Cloud Computig: A Review, Iteratioal Joural Of Sciece, Egieerig Ad Techology Research (IJSETR), Volume 4, Issue 6, Jue 2015, [13] MsShilpa D.More, ProfArti Mohapurkar, Load Balacig Strategy Based O Cloud Partitioig Cocept, Multidiscipliary Joural Of Research I Egieerig Ad Techology, Volume 2, Issue 2, Pg , ISSN: [14] Smita Salukhe, SSSaakki, Load Rebalacig For Distributed File Systems I Clouds, IJAFRC, Volume 2, Special Issue - NCRTIT 2015, Jauary 2015ISSN [15] Nadeem Shah, Mohammed Farik, Static Load Balacig Algorithms I Cloud Computig: Challeges & Solutios, Iteratioal Joural Of Scietific & Techology Research Volume 4, Issue 10, October 2015 ISSN: [16] Akshada Bhujbal, Prajakta Jakate, Maasi Wagh, Madhura Pise, Prof.M.V.Marathe, Load Balacig Model i Cloud Computig, Iteratioal Joural of Emergig Egieerig Research ad Techology Volume 3, Issue 2, February 2015, PP 1-6 ISSN (Prit) & ISSN (Olie). 785
n Explore virtualization concepts n Become familiar with cloud concepts
Chapter Objectives Explore virtualizatio cocepts Become familiar with cloud cocepts Chapter #15: Architecture ad Desig 2 Hypervisor Virtualizatio ad cloud services are becomig commo eterprise tools to
More informationEnhancing Cloud Computing Scheduling based on Queuing Models
Ehacig Cloud Computig Schedulig based o Queuig Models Mohamed Eisa Computer Sciece Departmet, Port Said Uiversity, 42526 Port Said, Egypt E. I. Esedimy Computer Sciece Departmet, Masoura Uiversity, Masoura,
More informationMulti-Threading. Hyper-, Multi-, and Simultaneous Thread Execution
Multi-Threadig Hyper-, Multi-, ad Simultaeous Thread Executio 1 Performace To Date Icreasig processor performace Pipeliig. Brach predictio. Super-scalar executio. Out-of-order executio. Caches. Hyper-Threadig
More informationA Hierarchical Load Balanced Fault tolerant Grid Scheduling Algorithm with User Satisfaction
A Hierarchical Load Balaced Fault tolerat Grid Schedulig Algorithm with User Satisfactio 1 KEERTHIKA P, 2 SURESH P Assistat Professor (Seior Grade), Departmet o Computer Sciece ad Egieerig Assistat Professor
More informationDISTRIBUTED ALGORITHM FOR MULTI-AGENT ENVIRONMENT
Iteratioal Joural of Iformatio Techology ad Kowledge Maagemet July-December 20, Volume 4, No. 2, pp. 59-525 DISTRIBUTED ALGORITHM FOR MULTI-AGENT ENVIRONMENT Maish Arora & M. Syamala Devi 2 Traditioal
More informationAnalysis of Server Resource Consumption of Meteorological Satellite Application System Based on Contour Curve
Advaces i Computer, Sigals ad Systems (2018) 2: 19-25 Clausius Scietific Press, Caada Aalysis of Server Resource Cosumptio of Meteorological Satellite Applicatio System Based o Cotour Curve Xiagag Zhao
More informationAn Improved Shuffled Frog-Leaping Algorithm for Knapsack Problem
A Improved Shuffled Frog-Leapig Algorithm for Kapsack Problem Zhoufag Li, Ya Zhou, ad Peg Cheg School of Iformatio Sciece ad Egieerig Hea Uiversity of Techology ZhegZhou, Chia lzhf1978@126.com Abstract.
More informationSwitching Hardware. Spring 2018 CS 438 Staff, University of Illinois 1
Switchig Hardware Sprig 208 CS 438 Staff, Uiversity of Illiois Where are we? Uderstad Differet ways to move through a etwork (forwardig) Read sigs at each switch (datagram) Follow a kow path (virtual circuit)
More informationUNIVERSITY OF MORATUWA
UNIVERSITY OF MORATUWA FACULTY OF ENGINEERING DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING B.Sc. Egieerig 2014 Itake Semester 2 Examiatio CS2052 COMPUTER ARCHITECTURE Time allowed: 2 Hours Jauary 2016
More informationPrevention of Black Hole Attack in Mobile Ad-hoc Networks using MN-ID Broadcasting
Vol.2, Issue.3, May-Jue 2012 pp-1017-1021 ISSN: 2249-6645 Prevetio of Black Hole Attack i Mobile Ad-hoc Networks usig MN-ID Broadcastig Atoy Devassy 1, K. Jayathi 2 *(PG scholar, ME commuicatio Systems,
More informationLoad Balancing in Cloud Computing : A Survey
2016 IJSRSET Volume 2 Issue 4 Print ISSN : 2395-1990 Online ISSN : 2394-4099 Themed Section: Engineering and Technology Load Balancing in Cloud Computing : A Survey M. Ramya *, Dr. D. Ravindran Department
More informationWhat are Information Systems?
Iformatio Systems Cocepts What are Iformatio Systems? Roma Kotchakov Birkbeck, Uiversity of Lodo Based o Chapter 1 of Beett, McRobb ad Farmer: Object Orieted Systems Aalysis ad Desig Usig UML, (4th Editio),
More informationSecurity of Bluetooth: An overview of Bluetooth Security
Versio 2 Security of Bluetooth: A overview of Bluetooth Security Marjaaa Träskbäck Departmet of Electrical ad Commuicatios Egieerig mtraskba@cc.hut.fi 52655H ABSTRACT The purpose of this paper is to give
More informationREVIEW AND COMPARISON OF TASKS SCHEDULING IN CLOUD COMPUTING
REVIEW AND COMPARISON OF TASKS SCHEDULING IN CLOUD COMPUTING Yousef Tohidirad 1, Zahed Soltai aliabadi 2, Abdolsalam Azizi 3, Siamak Abdezadeh 4 ad Mohammad Moradi 5 1 Departmet of Computer Egieerig, Electroic
More informationThe Value of Peering
The Value of Peerig ISP/IXP Workshops These materials are licesed uder the Creative Commos Attributio-NoCommercial 4.0 Iteratioal licese (http://creativecommos.org/liceses/by-c/4.0/) Last updated 25 th
More informationA Study on the Performance of Cholesky-Factorization using MPI
A Study o the Performace of Cholesky-Factorizatio usig MPI Ha S. Kim Scott B. Bade Departmet of Computer Sciece ad Egieerig Uiversity of Califoria Sa Diego {hskim, bade}@cs.ucsd.edu Abstract Cholesky-factorizatio
More informationReliable Transmission. Spring 2018 CS 438 Staff - University of Illinois 1
Reliable Trasmissio Sprig 2018 CS 438 Staff - Uiversity of Illiois 1 Reliable Trasmissio Hello! My computer s ame is Alice. Alice Bob Hello! Alice. Sprig 2018 CS 438 Staff - Uiversity of Illiois 2 Reliable
More informationTask scenarios Outline. Scenarios in Knowledge Extraction. Proposed Framework for Scenario to Design Diagram Transformation
6-0-0 Kowledge Trasformatio from Task Scearios to View-based Desig Diagrams Nima Dezhkam Kamra Sartipi {dezhka, sartipi}@mcmaster.ca Departmet of Computig ad Software McMaster Uiversity CANADA SEKE 08
More informationSoftware development of components for complex signal analysis on the example of adaptive recursive estimation methods.
Software developmet of compoets for complex sigal aalysis o the example of adaptive recursive estimatio methods. SIMON BOYMANN, RALPH MASCHOTTA, SILKE LEHMANN, DUNJA STEUER Istitute of Biomedical Egieerig
More informationHADOOP: A NEW APPROACH FOR DOCUMENT CLUSTERING
Y.K. Patil* Iteratioal Joural of Advaced Research i ISSN: 2278-6244 IT ad Egieerig Impact Factor: 4.54 HADOOP: A NEW APPROACH FOR DOCUMENT CLUSTERING Prof. V.S. Nadedkar** Abstract: Documet clusterig is
More informationCORD Test Project in Okinawa Open Laboratory
CORD Test Project i Okiawa Ope Laboratory Fukumasa Morifuji NTT Commuicatios Trasform your busiess, trasced expectatios with our techologically advaced solutios. Ageda VxF platform i NTT Commuicatios Expectatio
More informationEnergy Efficinet Cluster Head Selection and Data Convening in Wireless Sensor Networks
Idia Joural of Sciece ad Techology, Vol 9(15), DOI: 1.17485/ijst/216/v9i15/77749, April 216 ISSN (Prit) : 974-6846 ISSN (Olie) : 974-5645 Eergy Efficiet Cluster Head Selectio ad Data Coveig i Wireless
More informationUH-MEM: Utility-Based Hybrid Memory Management. Yang Li, Saugata Ghose, Jongmoo Choi, Jin Sun, Hui Wang, Onur Mutlu
UH-MEM: Utility-Based Hybrid Memory Maagemet Yag Li, Saugata Ghose, Jogmoo Choi, Ji Su, Hui Wag, Our Mutlu 1 Executive Summary DRAM faces sigificat techology scalig difficulties Emergig memory techologies
More information1&1 Next Level Hosting
1&1 Next Level Hostig Performace Level: Performace that grows with your requiremets Copyright 1&1 Iteret SE 2017 1ad1.com 2 1&1 NEXT LEVEL HOSTING 3 Fast page loadig ad short respose times play importat
More informationOnes Assignment Method for Solving Traveling Salesman Problem
Joural of mathematics ad computer sciece 0 (0), 58-65 Oes Assigmet Method for Solvig Travelig Salesma Problem Hadi Basirzadeh Departmet of Mathematics, Shahid Chamra Uiversity, Ahvaz, Ira Article history:
More informationOutline n Introduction n Background o Distributed DBMS Architecture
Outlie Itroductio Backgroud o Distributed DBMS Architecture Datalogical Architecture Implemetatio Alteratives Compoet Architecture o Distributed DBMS Architecture o Distributed Desig o Sematic Data Cotrol
More informationEvaluation scheme for Tracking in AMI
A M I C o m m u i c a t i o A U G M E N T E D M U L T I - P A R T Y I N T E R A C T I O N http://www.amiproject.org/ Evaluatio scheme for Trackig i AMI S. Schreiber a D. Gatica-Perez b AMI WP4 Trackig:
More informationKeywords Software Architecture, Object-oriented metrics, Reliability, Reusability, Coupling evaluator, Cohesion, efficiency
Volume 3, Issue 9, September 2013 ISSN: 2277 128X Iteratioal Joural of Advaced Research i Computer Sciece ad Software Egieerig Research Paper Available olie at: www.ijarcsse.com Couplig Evaluator to Ehace
More informationTransitioning to BGP
Trasitioig to BGP ISP Workshops These materials are licesed uder the Creative Commos Attributio-NoCommercial 4.0 Iteratioal licese (http://creativecommos.org/liceses/by-c/4.0/) Last updated 24 th April
More informationData diverse software fault tolerance techniques
Data diverse software fault tolerace techiques Complemets desig diversity by compesatig for desig diversity s s limitatios Ivolves obtaiig a related set of poits i the program data space, executig the
More informationMorgan Kaufmann Publishers 26 February, COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 5
Morga Kaufma Publishers 26 February, 28 COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter 5 Set-Associative Cache Architecture Performace Summary Whe CPU performace icreases:
More informationData Protection: Your Choice Is Simple PARTNER LOGO
Data Protectio: Your Choice Is Simple PARTNER LOGO Is Your Data Truly Protected? The growth, value ad mobility of data are placig icreasig pressure o orgaizatios. IT must esure assets are properly protected
More informationn Learn how resiliency strategies reduce risk n Discover automation strategies to reduce risk
Chapter Objectives Lear how resiliecy strategies reduce risk Discover automatio strategies to reduce risk Chapter #16: Architecture ad Desig Resiliecy ad Automatio Strategies 2 Automatio/Scriptig Resiliet
More information3D Model Retrieval Method Based on Sample Prediction
20 Iteratioal Coferece o Computer Commuicatio ad Maagemet Proc.of CSIT vol.5 (20) (20) IACSIT Press, Sigapore 3D Model Retrieval Method Based o Sample Predictio Qigche Zhag, Ya Tag* School of Computer
More informationPolitecnico di Milano Advanced Network Technologies Laboratory. Internet of Things. Projects
Politecico di Milao Advaced Network Techologies Laboratory Iteret of Thigs Projects 2016-2017 Politecico di Milao Advaced Network Techologies Laboratory Geeral Rules Geeral Rules o Gradig 26/30 are assiged
More informationCMSC Computer Architecture Lecture 11: More Caches. Prof. Yanjing Li University of Chicago
CMSC 22200 Computer Architecture Lecture 11: More Caches Prof. Yajig Li Uiversity of Chicago Lecture Outlie Caches 2 Review Memory hierarchy Cache basics Locality priciples Spatial ad temporal How to access
More informationChapter 4 Threads. Operating Systems: Internals and Design Principles. Ninth Edition By William Stallings
Operatig Systems: Iterals ad Desig Priciples Chapter 4 Threads Nith Editio By William Stalligs Processes ad Threads Resource Owership Process icludes a virtual address space to hold the process image The
More informationOptimization for framework design of new product introduction management system Ma Ying, Wu Hongcui
2d Iteratioal Coferece o Electrical, Computer Egieerig ad Electroics (ICECEE 2015) Optimizatio for framework desig of ew product itroductio maagemet system Ma Yig, Wu Hogcui Tiaji Electroic Iformatio Vocatioal
More informationFirewall and IDS. TELE3119: Week8
Firewall ad IDS TELE3119: Week8 Outlie Firewalls Itrusio Detectio Systems (IDSs) Itrusio Prevetio Systems (IPSs) 8-2 Example Attacks Disclosure, modificatio, ad destructio of data Compromise a host ad
More informationPruning and Summarizing the Discovered Time Series Association Rules from Mechanical Sensor Data Qing YANG1,a,*, Shao-Yu WANG1,b, Ting-Ting ZHANG2,c
Advaces i Egieerig Research (AER), volume 131 3rd Aual Iteratioal Coferece o Electroics, Electrical Egieerig ad Iformatio Sciece (EEEIS 2017) Pruig ad Summarizig the Discovered Time Series Associatio Rules
More informationA QoS Provisioning mechanism of Real-time Wireless USB Transfers for Smart HDTV Multimedia Services
A QoS Provisioig mechaism of Real-time Wireless USB Trasfers for Smart HDTV Multimedia Services Ji-Woo im 1, yeog Hur 2, Jog-Geu Jeog 3, Dog Hoo Lee 4, Moo Sog Yeu 5, Yeowoo Lee 6 ad Seog Ro Lee 7 1 Istitute
More informationSectio 4, a prototype project of settig field weight with AHP method is developed ad the experimetal results are aalyzed. Fially, we coclude our work
200 2d Iteratioal Coferece o Iformatio ad Multimedia Techology (ICIMT 200) IPCSIT vol. 42 (202) (202) IACSIT Press, Sigapore DOI: 0.7763/IPCSIT.202.V42.0 Idex Weight Decisio Based o AHP for Iformatio Retrieval
More informationA SOFTWARE MODEL FOR THE MULTILAYER PERCEPTRON
A SOFTWARE MODEL FOR THE MULTILAYER PERCEPTRON Roberto Lopez ad Eugeio Oñate Iteratioal Ceter for Numerical Methods i Egieerig (CIMNE) Edificio C1, Gra Capitá s/, 08034 Barceloa, Spai ABSTRACT I this work
More informationFREQUENCY ESTIMATION OF INTERNET PACKET STREAMS WITH LIMITED SPACE: UPPER AND LOWER BOUNDS
FREQUENCY ESTIMATION OF INTERNET PACKET STREAMS WITH LIMITED SPACE: UPPER AND LOWER BOUNDS Prosejit Bose Evagelos Kraakis Pat Mori Yihui Tag School of Computer Sciece, Carleto Uiversity {jit,kraakis,mori,y
More informationSCI Reflective Memory
Embedded SCI Solutios SCI Reflective Memory (Experimetal) Atle Vesterkjær Dolphi Itercoect Solutios AS Olaf Helsets vei 6, N-0621 Oslo, Norway Phoe: (47) 23 16 71 42 Fax: (47) 23 16 71 80 Mail: atleve@dolphiics.o
More informationCopyright 2016 Ramez Elmasri and Shamkant B. Navathe
Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 19 Query Optimizatio Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe Itroductio Query optimizatio Coducted by a query optimizer i a DBMS Goal:
More informationDCMIX: Generating Mixed Workloads for the Cloud Data Center
DCMIX: Geeratig Mixed Workloads for the Cloud Data Ceter XigWag Xiog, Lei Wag, WaLig Gao, Rui Re, Ke Liu, Che Zheg, Yu We, YiLiag Istitute of Computig Techology, Chiese Academy of Scieces Bech 2018, Seattle,
More informationAdaptive Resource Allocation for Electric Environmental Pollution through the Control Network
Available olie at www.sciecedirect.com Eergy Procedia 6 (202) 60 64 202 Iteratioal Coferece o Future Eergy, Eviromet, ad Materials Adaptive Resource Allocatio for Electric Evirometal Pollutio through the
More informationGPUMP: a Multiple-Precision Integer Library for GPUs
GPUMP: a Multiple-Precisio Iteger Library for GPUs Kaiyog Zhao ad Xiaowe Chu Departmet of Computer Sciece, Hog Kog Baptist Uiversity Hog Kog, P. R. Chia Email: {kyzhao, chxw}@comp.hkbu.edu.hk Abstract
More informationarxiv: v2 [cs.ds] 24 Mar 2018
Similar Elemets ad Metric Labelig o Complete Graphs arxiv:1803.08037v [cs.ds] 4 Mar 018 Pedro F. Felzeszwalb Brow Uiversity Providece, RI, USA pff@brow.edu March 8, 018 We cosider a problem that ivolves
More informationUNIVERSITY OF MORATUWA
UNIVERSITY OF MORATUWA FACULTY OF ENGINEERING DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING B.Sc. Egieerig 2010 Itake Semester 7 Examiatio CS4532 CONCURRENT PROGRAMMING Time allowed: 2 Hours September 2014
More informationDESIGN AND ANALYSIS OF LDPC DECODERS FOR SOFTWARE DEFINED RADIO
DESIGN AND ANALYSIS OF LDPC DECODERS FOR SOFTWARE DEFINED RADIO Sagwo Seo, Trevor Mudge Advaced Computer Architecture Laboratory Uiversity of Michiga at A Arbor {swseo, tm}@umich.edu Yumig Zhu, Chaitali
More informationCOMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 4. The Processor. Part A Datapath Design
COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter The Processor Part A path Desig Itroductio CPU performace factors Istructio cout Determied by ISA ad compiler. CPI ad
More informationIntroduction to OSPF. ISP Training Workshops
Itroductio to OSPF ISP Traiig Workshops 1 OSPF p Ope Shortest Path First p Lik state or SPF techology p Developed by OSPF workig group of IETF (RFC 1247) p OSPFv2 stadard described i RFC2328 p Desiged
More informationQuorum Based Data Replication in Grid Environment
Quorum Based Data Replicatio i Grid Eviromet Rohaya Latip, Hamidah Ibrahim, Mohamed Othma, Md Nasir Sulaima, ad Azizol Abdullah Faculty of Computer Sciece ad Iformatio Techology, Uiversiti Putra Malaysia
More informationCOSC 1P03. Ch 7 Recursion. Introduction to Data Structures 8.1
COSC 1P03 Ch 7 Recursio Itroductio to Data Structures 8.1 COSC 1P03 Recursio Recursio I Mathematics factorial Fiboacci umbers defie ifiite set with fiite defiitio I Computer Sciece sytax rules fiite defiitio,
More informationLecture Notes 6 Introduction to algorithm analysis CSS 501 Data Structures and Object-Oriented Programming
Lecture Notes 6 Itroductio to algorithm aalysis CSS 501 Data Structures ad Object-Orieted Programmig Readig for this lecture: Carrao, Chapter 10 To be covered i this lecture: Itroductio to algorithm aalysis
More informationOptimization of Priority based CPU Scheduling Algorithms to Minimize Starvation of Processes using an Efficiency Factor
Iteratioal Joural of Computer Applicatios (97 8887) Volume 132 No.11, December21 Optimizatio of based CPU Schedulig Algorithms to Miimize Starvatio of Processes usig a Efficiecy Factor Muhammad A. Mustapha
More informationOperating System Concepts. Operating System Concepts
Chapter 4: Mass-Storage Systems Logical Disk Structure Logical Disk Structure Disk Schedulig Disk Maagemet RAID Structure Disk drives are addressed as large -dimesioal arrays of logical blocks, where the
More informationA Modified Multiband U Shaped and Microcontroller Shaped Fractal Antenna
al Joural o Recet ad Iovatio Treds i Computig ad Commuicatio ISSN: 221-8169 A Modified Multibad U Shaped ad Microcotroller Shaped Fractal Atea Shweta Goyal 1, Yogedra Kumar Katiyar 2 1 M.tech Scholar,
More informationCOMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 4. The Processor. Single-Cycle Disadvantages & Advantages
COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter 4 The Processor Pipeliig Sigle-Cycle Disadvatages & Advatages Clk Uses the clock cycle iefficietly the clock cycle must
More informationCopyright 2016 Ramez Elmasri and Shamkant B. Navathe
Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 18 Strategies for Query Processig Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe Itroductio DBMS techiques to process a query Scaer idetifies
More informationService Oriented Enterprise Architecture and Service Oriented Enterprise
Approved for Public Release Distributio Ulimited Case Number: 09-2786 The 23 rd Ope Group Eterprise Practitioers Coferece Service Orieted Eterprise ad Service Orieted Eterprise Ya Zhao, PhD Pricipal, MITRE
More informationS. Mehta and K.S. Kwak. UWB Wireless Communications Research Center, Inha University Incheon, , Korea
S. Mehta ad K.S. Kwak UWB Wireless Commuicatios Research Ceter, Iha Uiversity Icheo, 402-75, Korea suryaad.m@gmail.com ABSTRACT I this paper, we propose a hybrid medium access cotrol protocol (H-MAC) for
More informationEnhancing Efficiency of Software Fault Tolerance Techniques in Satellite Motion System
Joural of Iformatio Systems ad Telecommuicatio, Vol. 2, No. 3, July-September 2014 173 Ehacig Efficiecy of Software Fault Tolerace Techiques i Satellite Motio System Hoda Baki Departmet of Electrical ad
More informationOntology-based Decision Support System with Analytic Hierarchy Process for Tour Package Selection
2017 Asia-Pacific Egieerig ad Techology Coferece (APETC 2017) ISBN: 978-1-60595-443-1 Otology-based Decisio Support System with Aalytic Hierarchy Process for Tour Pacage Selectio Tie-We Sug, Chia-Jug Lee,
More informationRealistic Storage of Pending Requests in Content-Centric Network Routers
Realistic Storage of Pedig Requests i Cotet-Cetric Network Routers Wei You, Bertrad Mathieu, Patrick Truog, Jea-Fraçois Peltier Orage Labs Laio, Frace {wei.you, bertrad2.mathieu, patrick.truog, jeafracois.peltier}@orage.com
More informationSession Initiated Protocol (SIP) and Message-based Load Balancing (MBLB)
F5 White Paper Sessio Iitiated Protocol (SIP) ad Message-based Load Balacig (MBLB) The ability to provide ew ad creative methods of commuicatios has esured a SIP presece i almost every orgaizatio. The
More informationAnnouncements. Reading. Project #4 is on the web. Homework #1. Midterm #2. Chapter 4 ( ) Note policy about project #3 missing components
Aoucemets Readig Chapter 4 (4.1-4.2) Project #4 is o the web ote policy about project #3 missig compoets Homework #1 Due 11/6/01 Chapter 6: 4, 12, 24, 37 Midterm #2 11/8/01 i class 1 Project #4 otes IPv6Iit,
More informationImprovement of the Orthogonal Code Convolution Capabilities Using FPGA Implementation
Improvemet of the Orthogoal Code Covolutio Capabilities Usig FPGA Implemetatio Naima Kaabouch, Member, IEEE, Apara Dhirde, Member, IEEE, Saleh Faruque, Member, IEEE Departmet of Electrical Egieerig, Uiversity
More informationNext generation IP- based multimedia services on cable TV networks
Iteratioal Telecommuicatio Uio Next geeratio IP- based multimedia services o cable TV etworks Volker Leisse ECCA Pre - coferece draft ITU-T Workshop All Star Network Access Geeva, 2-4 Jue 2004 Outlie o
More informationData Warehousing. Paper
Data Warehousig Paper 28-25 Implemetig a fiacial balace scorecard o top of SAP R/3, usig CFO Visio as iterface. Ida Carapelle & Sophie De Baets, SOLID Parters, Brussels, Belgium (EUROPE) ABSTRACT Fiacial
More informationLecture 28: Data Link Layer
Automatic Repeat Request (ARQ) 2. Go ack N ARQ Although the Stop ad Wait ARQ is very simple, you ca easily show that it has very the low efficiecy. The low efficiecy comes from the fact that the trasmittig
More informationAdaptive Graph Partitioning Wireless Protocol S. L. Ng 1, P. M. Geethakumari 1, S. Zhou 2, and W. J. Dewar 1 1
Adaptive Graph Partitioig Wireless Protocol S. L. Ng 1, P. M. Geethakumari 1, S. Zhou 2, ad W. J. Dewar 1 1 School of Electrical Egieerig Uiversity of New South Wales, Australia 2 Divisio of Radiophysics
More informationEvaluation of Distributed and Replicated HLR for Location Management in PCS Network
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 9, 85-0 (2003) Evaluatio of Distributed ad Replicated HLR for Locatio Maagemet i PCS Network Departmet of Computer Sciece ad Iformatio Egieerig Natioal Chiao
More informationBasic allocator mechanisms The course that gives CMU its Zip! Memory Management II: Dynamic Storage Allocation Mar 6, 2000.
5-23 The course that gives CM its Zip Memory Maagemet II: Dyamic Storage Allocatio Mar 6, 2000 Topics Segregated lists Buddy system Garbage collectio Mark ad Sweep Copyig eferece coutig Basic allocator
More informationImage Segmentation EEE 508
Image Segmetatio Objective: to determie (etract) object boudaries. It is a process of partitioig a image ito distict regios by groupig together eighborig piels based o some predefied similarity criterio.
More informationIMP: Superposer Integrated Morphometrics Package Superposition Tool
IMP: Superposer Itegrated Morphometrics Package Superpositio Tool Programmig by: David Lieber ( 03) Caisius College 200 Mai St. Buffalo, NY 4208 Cocept by: H. David Sheets, Dept. of Physics, Caisius College
More informationGoals of the Lecture UML Implementation Diagrams
Goals of the Lecture UML Implemetatio Diagrams Object-Orieted Aalysis ad Desig - Fall 1998 Preset UML Diagrams useful for implemetatio Provide examples Next Lecture Ð A variety of topics o mappig from
More informationAppendix D. Controller Implementation
COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Appedix D Cotroller Implemetatio Cotroller Implemetatios Combiatioal logic (sigle-cycle); Fiite state machie (multi-cycle, pipelied);
More informationGE FUNDAMENTALS OF COMPUTING AND PROGRAMMING UNIT III
GE2112 - FUNDAMENTALS OF COMPUTING AND PROGRAMMING UNIT III PROBLEM SOLVING AND OFFICE APPLICATION SOFTWARE Plaig the Computer Program Purpose Algorithm Flow Charts Pseudocode -Applicatio Software Packages-
More informationHarris Corner Detection Algorithm at Sub-pixel Level and Its Application Yuanfeng Han a, Peijiang Chen b * and Tian Meng c
Iteratioal Coferece o Computatioal Sciece ad Egieerig (ICCSE 015) Harris Corer Detectio Algorithm at Sub-pixel Level ad Its Applicatio Yuafeg Ha a, Peijiag Che b * ad Tia Meg c School of Automobile, Liyi
More information. Written in factored form it is easy to see that the roots are 2, 2, i,
CMPS A Itroductio to Programmig Programmig Assigmet 4 I this assigmet you will write a java program that determies the real roots of a polyomial that lie withi a specified rage. Recall that the roots (or
More informationperformance to the performance they can experience when they use the services from a xed location.
I the Proceedigs of The First Aual Iteratioal Coferece o Mobile Computig ad Networkig (MobiCom 9) November -, 99, Berkeley, Califoria USA Performace Compariso of Mobile Support Strategies Rieko Kadobayashi
More information1. SWITCHING FUNDAMENTALS
. SWITCING FUNDMENTLS Switchig is the provisio of a o-demad coectio betwee two ed poits. Two distict switchig techiques are employed i commuicatio etwors-- circuit switchig ad pacet switchig. Circuit switchig
More informationRedundancy Allocation for Series Parallel Systems with Multiple Constraints and Sensitivity Analysis
IOSR Joural of Egieerig Redudacy Allocatio for Series Parallel Systems with Multiple Costraits ad Sesitivity Aalysis S. V. Suresh Babu, D.Maheswar 2, G. Ragaath 3 Y.Viaya Kumar d G.Sakaraiah e (Mechaical
More informationMorgan Kaufmann Publishers 26 February, COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 5.
Morga Kaufma Publishers 26 February, 208 COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter 5 Virtual Memory Review: The Memory Hierarchy Take advatage of the priciple
More informationHow do we evaluate algorithms?
F2 Readig referece: chapter 2 + slides Algorithm complexity Big O ad big Ω To calculate ruig time Aalysis of recursive Algorithms Next time: Litterature: slides mostly The first Algorithm desig methods:
More informationExtending The Sleuth Kit and its Underlying Model for Pooled Storage File System Forensic Analysis
Extedig The Sleuth Kit ad its Uderlyig Model for Pooled File System Foresic Aalysis Frauhofer Istitute for Commuicatio, Iformatio Processig ad Ergoomics Ja-Niclas Hilgert* Marti Lambertz Daiel Plohma ja-iclas.hilgert@fkie.frauhofer.de
More informationVMbuddies: Coordinating Live Migration of Multi-Tier Applications in Cloud Environments
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, TPDS-23-2-67 VMbuddies: Coordiatig Live Migratio of Multi-Tier Applicatios i Cloud Eviromets Haiku Liu, ad Bigsheg He Abstract Eabled by virtualizatio
More informationPython Programming: An Introduction to Computer Science
Pytho Programmig: A Itroductio to Computer Sciece Chapter 1 Computers ad Programs 1 Objectives To uderstad the respective roles of hardware ad software i a computig system. To lear what computer scietists
More informationSecure Software Upload in an Intelligent Vehicle via Wireless Communication Links
Secure Software Upload i a Itelliget Vehicle via Wireless Commuicatio Liks Syed Masud Mahmud, Member, IEEE, Shobhit Shaker, Studet Member, IEEE Iria Hossai, Studet Member, IEEE Abstract The demad for drive-by-wire,
More informationOn Nonblocking Folded-Clos Networks in Computer Communication Environments
O Noblockig Folded-Clos Networks i Computer Commuicatio Eviromets Xi Yua Departmet of Computer Sciece, Florida State Uiversity, Tallahassee, FL 3306 xyua@cs.fsu.edu Abstract Folded-Clos etworks, also referred
More informationDetection and Elimination of Fake Access Points in WLAN using Multi Agents Sourcing Methodology
Detectio ad Elimiatio of Fake Access Poits i WLAN usig Multi Agets Sourcig Methodology Priyaka G. Sasae Dept. of Computer Egi. SKNCOE, Vadgao Uiversity of Pue, Idia pdpatil.sae@sihgad.edu Prof. S. K. Patha
More informationFCM-SEP (Fuzzy C-Means Based Stable Election Protocol) for Energy Efficiency in Wireless Sensor Networks
FCM-SEP (Fuzzy C-Meas Based Stable Electio Protocol) for Eergy Efficiecy i Wireless Sesor Networks Sadeep Kaur Computer Sciece ad Egieerig, Giai Zail Sigh Campus College of Egieerig ad Techology, Bathida,
More informationEuclidean Distance Based Feature Selection for Fault Detection Prediction Model in Semiconductor Manufacturing Process
Vol.133 (Iformatio Techology ad Computer Sciece 016), pp.85-89 http://dx.doi.org/10.1457/astl.016. Euclidea Distace Based Feature Selectio for Fault Detectio Predictio Model i Semicoductor Maufacturig
More informationAlgorithms for Disk Covering Problems with the Most Points
Algorithms for Disk Coverig Problems with the Most Poits Bi Xiao Departmet of Computig Hog Kog Polytechic Uiversity Hug Hom, Kowloo, Hog Kog csbxiao@comp.polyu.edu.hk Qigfeg Zhuge, Yi He, Zili Shao, Edwi
More informationOutline. CSCI 4730 Operating Systems. Questions. What is an Operating System? Computer System Layers. Computer System Layers
Outlie CSCI 4730 s! What is a s?!! System Compoet Architecture s Overview Questios What is a?! What are the major operatig system compoets?! What are basic computer system orgaizatios?! How do you commuicate
More informationArchitectural styles for software systems The client-server style
Architectural styles for software systems The cliet-server style Prof. Paolo Ciacarii Software Architecture CdL M Iformatica Uiversità di Bologa Ageda Cliet server style CS two tiers CS three tiers CS
More informationStone Images Retrieval Based on Color Histogram
Stoe Images Retrieval Based o Color Histogram Qiag Zhao, Jie Yag, Jigyi Yag, Hogxig Liu School of Iformatio Egieerig, Wuha Uiversity of Techology Wuha, Chia Abstract Stoe images color features are chose
More information