Mobile Edge Cloud Services in 5G
|
|
- Judith Greene
- 6 years ago
- Views:
Transcription
1 Mobile Edge Cloud Services in 5G Yanyong Zhang, Rutgers University
2 Edge clouds, edge applications MOTIVATION
3 Mobile Edge Clouds
4 Edge Applications Mobile Edge Cloud Services Emergency Service Safety Smart Factory Automatic driving Real-time alert Real-time response Field machine control Emergency stop AR navigation Automatic translation Scalability for devices and objects
5 Challenges Terminal Mobility Complexity - Device/Object ID - Sensed data Query Data- Intensive Distributed, Parallel, and Pipelined Computation Multi-sensory fusion (1) Sensing (3) Actuation Response (2) Computation... Cloud Network domain Valu IDObject e Valu GUID Object e Valu 1 GUID X1 e 1 X1 2 1 X2 X1 2 X2 2 X2 10^12 10^12 10^12 Service Directories - Actuation command Large # of NW domains Real-time <100msec response time in application Scale Trillion-order edge devices & objects are properly handled
6 Network virtualization, ASR, task mapping, spatial and temporal scheduling SMART-EDGE
7 SmartEdge Vision
8 Global Name Resolution Globally unique name (GUID) for network attached objects device, content, context, AS name, sensor, and so on Multiple domain-specific naming services Global Name Resolution Service for GUID NA mappings Hybrid GUID/NA approach Both name/address headers in PDU Fast path when NA is available GUID resolution, late binding option Sue s_mobile_2 John s _laptop_1 Host Naming Service Server_1234 Sensor Naming Service Sensor@XYZ Taxis in NB Media File_ABC Globally Unique Flat Identifier (GUID) Global Name Resolution Service Network Content Naming Service Context Naming Service Network address Net1.local_ID Net2.local_ID
9 Mobility Service via Name Resolution Service API capabilities: - send (GUID, options, data) Options = anycast, mcast, time,.. - get (content_guid, options) Options = nearest, all,.. GUID lookup from directory Name Certification Services (NCS) Register John Smith22 s devices with NCS GUID assigned MobilityFirst Network (Data Plane) NA99 GNRS update (after link-layer association) Send (GUID = , SID=01, data) NA32 GUID <-> NA lookup GNRS query GNRS GUID = Send (GUID = , SID=01, NA99, NA32, data) Represents network object with 2 devices DATA GUID SID NAs Packet sent out by host
10 Overview of Virtual Mobile Cloud Network (vmcn) Name resolution layer (3) Service Anycast & Dynamic Migration smartedge slice (1) Name-based virtual network ID Query Packet VN Routing layer (2) VN & vbs on the move Virtual base station (vbs)
11 MF Extended to Support VN (3) GNRS Service Plane GUID Locator VN Type A1 19 No VNID_1 VR1, VR2, Yes VR1 1a Yes VR2 1b Yes (1) (1) Virtual GUID as an identifier of a VN (2) Ingress router identifies VNs (3) GNRS is exploited to capture VN membership and access control VR2 Central Coordinator Network 19 VR6 A1 VR1 A2 S (2) Ingress Router VR3 VR5 Network 53a B1
12 vbs: A Technique of Building a Service-specific VN in WiFi Isolated BS resources assigned to a target service Network-driven association and handover Cooperative NW virtualization in backhaul Elastic QoS Controllability Unified Policy vbs 1 vbs 2 vbs 3 BS Resource Pool Virtual BS (vbs) Physical BS The other services K. Nakauchi and Y. Shoji, WiFi Network Virtualization to Control the Connectivity of a Target Service, IEEE Transactions on Network and Service Management, June, 2015
13 Application-Specific Routing Virtual Routing VR1 DST_ GUID A1 A2 B1 <App, Link, N_Hop> <0.2, 5x, VR2> <0.7, 5x, VR2> <0.3, 3x, VR3> S <0, 1, S> Service GUID is assigned to a group of replicated servers Application-level metric is used for routing decision Application state is periodically announced computation load, waiting time, etc. S VR1 VR2 Network 19 VR6 A1 Service Y A2 VR3 VR5 Network 53a B1
14 Edge Cloud Assignment Spatial Scheduling An edge application consists of a sequence of requests each having a deadline and demanding a certain amount of resource Each edge cloud periodically exposes its available resources CPU utilization, data set, pending workload, Then we pick one that can satisfy the real-time constraint; if no server is qualified, we consider migrating existing requests (without violating their deadlines) Delayed scheduling Migration may be needed due to user mobility Mobility prediction
15 Parallel, Distributed, and Pipelined Execution
16 Efficient Runtime Management Data shipping or computation shipping? Approximate computing to hide network latency Co-scheduling across multiple sites
17 PROTOTYPING & EVALUATION
18 Initial Prototype vbs remote control software is implemented in the MF stack Common C-plane for MF and vbs Written in Python vbs MobilityFirst vbs Prototype MF-VN Prototype Service GUID 1331 CPS Terminal (MF-enabled) vbs VNCS & OFS & MM MF Central Coordinator Python script VR2 Cloud Server1 GUID 21 VR1 Non-CPS/CPS Traffic Generator VR3 Cloud Server2 GUID 22 NA: /16 Locator: XX NA: /16 Locator: YY NA: /16 Locator: ZZ
19 90%ile Response Time Measured vbs Mode: n/a Band: 5GHz Tx Rate: 65Mbps Rx Rate: 65Mbps # of BS: 2 (Ch 36,48) MF VN APP-level Query & Response (mfping) MF-VN Routing: ASR - Reporting interval: 2s Transport: hop-by-hop reliability - Retrans. limit: unlimited - Retrans. timeout: 200ms Response Time T=t 0 T=t 1 query response After Before 90% CDF vbs&mf vbs only w/o vbs&mf 90%ile Response Time Response Time (RTT)
20 WiFi Congestion &Dynamic Server Load Before Without vbs CPS Terminals Non-CPS terminals BS#1 Shared and competed b/w CPS and Non- CPS apps MF VN Server#1 Server#2 Forwarded to the closest server even if the load is high Server#1 Server Load 0. 2 Server 1. Load 0 Without ASR T T After CPS Terminals Non-CPS terminals BS#1 MF VN Server#2 Server Load 0. 2 Server 1. Load 0 T T With vbs Isolated for a specific CPS app 20 Forwarded to less-loaded server With ASR
21 Reduction of 90%ile Response Time from 1900ms to 210ms Emulated cloud app with 50KB Data, w/ Server Load and WiFi Cross Traffic w/ vbs & ASR 214ms 1932ms vbs&asr 90%ile w/o vbs & w/o ASR Due to retransmission s and the potential bogus state in the MF transport protocol 100
22 Questions & Answers
Content and Context in Mobility First
and Context in Mobility First Presented by: Rich Martin WINLAB, Rutgers University Technology Centre of NJ 671 Route 1, North Brunswick, NJ 08902, USA rmartin@cs.rutgers.edu Using the for content and context
More informationSupporting Mobility in MobilityFirst
Supporting Mobility in MobilityFirst F. Zhang, K. Nagaraja, T. Nguyen, D. Raychaudhuri, Y. Zhang WINLAB, Rutgers University Technology Centre of NJ 671 Route 1, North Brunswick, NJ 08902, USA Mobile Data
More informationvmcn: Virtual Mobile Cloud Network for Realizing Scalable, Real-time Cyber Physical Systems
vmcn: Virtual Mobile Cloud Network for Realizing Scalable, Real-time Cyber Physical Systems Kiyohide Nakauchi National Institute of Information and Communications Technology nakauchi@nict.go.jp Ivan Seskar
More informationEnd-to-End Transport Layer Services in the MobilityFirst Network
End-to-End Transport Layer Services in the MobilityFirst Network Kai Su, Francesco Bronzino, Dipankar Raychaudhuri, K.K. Ramakrishnan WINLAB Research Review Winter 2014 Transport Services From TCP/IP to
More informationIntroduction. MobilityFirst: A Robust and Trustworthy Mobility-Centric Architecture for the Future Internet Euroview 2012 July 24,
MobilityFirst: A Robust and Trustworthy Mobility-Centric Architecture for the Future Internet Euroview 2012 July 24, 2012 D. Raychaudhuri, Rutgers University Technology Centre of NJ 671 Route 1, North
More informationMobilityFirst Architecture Summary WINLAB Research Review May 14, 2012
MobilityFirst Architecture Summary Research Review May 14, 2012 Contact: D. Raychaudhuri, Rutgers University Technology Centre of NJ 671 Route 1, North Brunswick, NJ 08902, USA ray@winlab.rutgers.edu NSF
More informationMobilityFirst Architecture and Protocol Evaluation on GENI. November 3, 2011 WINLAB
MobilityFirst Architecture and Protocol Evaluation on GENI November 3, 2011 1 MobilityFirst Project: Collaborating Institutions (LEAD) D. Raychaudhuri, M. Gruteser, W. Trappe, R, Martin, Y. Zhang, I. Seskar,
More informationCellular-Internet Convergence: Evolving the Internet Architecture to Support Mobility Services as the Norm Johannesburg Summit May 20-21, 2013
Cellular-Internet Convergence: Evolving the Internet Architecture to Support Mobility Services as the Norm Johannesburg Summit May 20-21, 2013 D. Raychaudhuri, Rutgers University ray@winlab.rutgers.edu
More informationMobilityFirst: A Robust and Trustworthy Mobility-Centric Architecture for the Future Internet NIKSUN WWSMC July 26, 2011
MobilityFirst: A Robust and Trustworthy Mobility-Centric Architecture for the Future Internet NIKSUN WWSMC July 26, 2011 Contact: D. Raychaudhuri, Rutgers University Technology Centre of NJ 671 Route 1,
More informationNext- Gen Mobile Network Architecture for Advanced Wireless. December 2, 2016 Shreyasee Mukherjee
Next- Gen Mobile Network Architecture for Advanced Wireless December 2, 2016 Shreyasee Mukherjee The Advanced Wireless Research Ini?a?ve 2/16 Requirements for a Next- Gen Mobile Network 1.1. Gigabit- speed
More informationInterdomain Routing Design for MobilityFirst
Interdomain Routing Design for MobilityFirst October 6, 2011 Z. Morley Mao, University of Michigan In collaboration with Mike Reiter s group 1 Interdomain routing design requirements Mobility support Network
More informationEnabling Internet-of-Things (IoT) Services in MobilityFirst FIA
Enabling Internet-of-Things (IoT) Services in MobilityFirst FIA Jun Li, Rich Martin, John-Austen Francisco and Dipankar Raychaudhuri WINLAB, Rutgers University May 14 th, 2012 A Big Question Does Internet
More informationMobilityFirst Future Internet Architecture. Samuel Nelson
MobilityFirst Future Internet Architecture Samuel Nelson snelson@winlab.rutgers.edu MobilityFirst Project: Collaborating Institutions (LEA) A. Venkataramani, J. Kurose,. Towsley M. Reiter S. Bannerjee
More informationDMAP : Global Name Resolution Services Through Direct Mapping
DMAP : Global Name Resolution Services Through Direct Mapping Tam Vu, Rutgers University http://www.winlab.rutgers.edu/~tamvu/ (Joint work with Akash Baid, Yanyong Zhang, Thu D. Nguyen, Junichiro Fukuyama,
More informationArchitecture Summary Document MobilityFirst: A Robust and Trustworthy Mobility-Centric Architecture for the Future Internet*
MobilityFirst FIA Project Architecture Summary Page: 1 Architecture Summary Document MobilityFirst: A Robust and Trustworthy Mobility-Centric Architecture for the Future Internet* Contact: D. Raychaudhuri,
More informationMFTP: a Clean- Slate Transport Protocol for the Informa8on Centric MobilityFirst Network
MFTP: a Clean- Slate Transport Protocol for the Informa8on Centric MobilityFirst Network Kai Su (presen8ng), Francesco Bronzino, K. K. Ramakrishnan*, and Dipankar Raychaudhuri WINLAB, Rutgers University
More informationA framework to evaluate 5G networks for smart and fail-safe communications
A framework to evaluate 5G networks for smart and fail-safe communications in ERTMS/ETCS Roberto Canonico (*), Stefano Marrone (**), Roberto Nardone (*), and Valeria Vittorini (*) (*) Università degli
More informationMobilityFirst: A Robust and Trustworthy Mobility-Centric Architecture for the Future Internet NSF FIA Meeting Nov 15-16, 2010
MobilityFirst: A Robust and Trustworthy Mobility-Centric Architecture for the Future Internet NSF FIA Meeting Nov 15-16, 2010 MobilityFirst Project Team Contact: D. Raychaudhuri ray@winlab.rutgers.edu
More informationWINLAB Summary Sept 7, 2011
Summary Sept 7, 2011 Wireless Information Network Laboratory () Rutgers, The State University of New Jersey www.winlab.rutgers.edu Contact: Professor D. Raychaudhuri, Director ray@winlab.rutgers.edu 1
More informationMobilityFirst Prototyping and Evaluation. October 6, 2011 WINLAB
MobilityFirst Prototyping and Evaluation October 6, 2011 1 Prototyping and Evaluation: Execution Summary Phase 1 Phase 2 Phase 3 Context Addressi ng Stack Content Addressi ng Stack Host/Device Addressing
More informationRAN slicing as enabler for low latency services
RAN slicing as enabler for low latency services Presented by A. Maeder, NOKIA Bell Labs Contributions by Z. Li, P. Rost, C. Sartori, A. Prasad, C. Mannweiler ITG 5.2.4 Fachgruppentreffen Dresden, June
More informationX-Ethernet Ethernet Everywhere
thernet thernet verywhere Network Technology Lab of 2012 Labs www.huawei.com A Unified thernet Network thernet verywhere Broadband DC Service Latency jitter CPRI
More informationMobilityFirst Tutorial GEC21, Indiana University, 10/22/2014 Francesco Bronzino, Parishad Karimi, Ivan Seskar
MobilityFirst Tutorial GEC21, Indiana University, 10/22/2014 Francesco Bronzino, Parishad Karimi, Ivan Seskar Ini2al Setup Requirement: Have a GENI Portal Account hjps://portal.geni.net/ Join Project MFGEC21Tutorial
More informationDeTail Reducing the Tail of Flow Completion Times in Datacenter Networks. David Zats, Tathagata Das, Prashanth Mohan, Dhruba Borthakur, Randy Katz
DeTail Reducing the Tail of Flow Completion Times in Datacenter Networks David Zats, Tathagata Das, Prashanth Mohan, Dhruba Borthakur, Randy Katz 1 A Typical Facebook Page Modern pages have many components
More informationMobilityFirst: A Robust and Trustworthy Mobility-Centric Architecture for the Future Internet PIMRC Keynote, Sept 13, 2011
MobilityFirst: A Robust and Trustworthy Mobility-Centric Architecture for the Future Internet PIMRC Keynote, Sept 13, 2011 Contact: D. Raychaudhuri, Rutgers University Technology Centre of NJ 671 Route
More informationMobilityFirst: A Robust and Trustworthy Mobility-Centric Architecture for the Future Internet Summary Slides for FIA Review September 2012
MobilityFirst: A Robust and Trustworthy Mobility-Centric Architecture for the Future Internet Summary Slides for FIA Review September 2012 D. Raychaudhuri ray@winlab.rutgers.edu Arun Venkataramani arun@cs.umass.edu
More informationComparing Alternative Approaches for Networking of Named Objects in the Future Internet
Comparing Alternative Approaches for Networking of Named Objects in the Future Internet Akash Baid, Tam Vu, Dipankar Raychaudhuri, Rutgers University, NJ, USA Motivation Increasing consensus on: Rethinking
More informationNTT DOCOMO s Views on 5G
NTT DOCOMO s Views on 5G NTT DOCOMO, INC. NTT DOCOMO, INC., Copyright 2014, All rights reserved. 1 Network/Communication Society in 2020 and Beyond Everything Connected by Wireless Monitor/collect information
More informationMobilityFirst Vision & Technical Approach Summary External Advisory Board Meeting Feb 28, 2011
MobilityFirst Vision & Technical Approach Summary External Advisory Board Meeting Feb 28, 2011 Prof. D. Raychaudhuri WINLAB, Rutgers University Technology Centre of NJ 671 Route 1, North Brunswick, NJ
More informationLeading the Path to 5G
www.atis.org/5g2016 Follow us on Twitter @atisupdates Leading the Path to 5G Sanjeev Athalye Senior Director, Product Management, Qualcomm Dr. Arun Ghosh Director, Advanced Radio Group, AT&T 5G: From Concept
More informationInter-Domain Routing with Cut-Through Switching for the MobilityFirst Future Internet Architecture
1 Inter-Domain Routing with Cut-Through Switching for the MobilityFirst Future Internet Architecture Adrian Lara, Shreyasee Mukherjee, Byrav Ramamurthy, Dipankar Raychaudhuri and K. K. Ramakrishnan University
More informationEnhanced Virtual Networks (VPN+) Stewart Bryant & Jie Dong (Huawei) draft-bryant-rtgwg-enhanced-vpn-01
nhanced Virtual Networks (VPN+) Stewart Bryant & Jie Dong (Huawei) draft-bryant-rtgwg-enhanced-vpn-01 1 Overview VPNs have been widely deployed to support multi-tenancy in public operator networks. They
More informationEnhancement of CoAP Packet Delivery Performance for Internet of Things. Hang Liu
Enhancement of CoAP Packet Delivery Performance for Internet of Things Hang Liu Outline Motivation and Industrial Relevance Project Objectives Approach and Previous Results Future Work Outcome and Impact
More informationAdvanced Network Design
Advanced Network Design Organization Whoami, Book, Wikipedia www.cs.uchicago.edu/~nugent/cspp54015 Grading Homework/project: 60% Midterm: 15% Final: 20% Class participation: 5% Interdisciplinary Course
More informationExpeditus: Congestion-Aware Load Balancing in Clos Data Center Networks
Expeditus: Congestion-Aware Load Balancing in Clos Data Center Networks Peng Wang, Hong Xu, Zhixiong Niu, Dongsu Han, Yongqiang Xiong ACM SoCC 2016, Oct 5-7, Santa Clara Motivation Datacenter networks
More informationCSE 123b Communications Software
CSE 123b Communications Software Spring 2002 Lecture 10: Quality of Service Stefan Savage Today s class: Quality of Service What s wrong with Best Effort service? What kinds of service do applications
More informationMulti-Hop ARQ 林咨銘 2006/8/24.
Multi-Hop ARQ 林咨銘 2006/8/24 tmlin@itri.org.tw Outline Introduction Multi-Hop Scenario Multi-Hop Issues Multi-Hop ARQ Schemes Multi-hop ARQ [1] VTC 2005 Spring Relay ARQ[2] VTC 2005 Fall Summary Multi-Hop
More informationApplication Provisioning in Fog Computingenabled Internet-of-Things: A Network Perspective
Application Provisioning in Fog Computingenabled Internet-of-Things: A Network Perspective Ruozhou Yu, Guoliang Xue, and Xiang Zhang Arizona State University Outlines Background and Motivation System Modeling
More informationBest Practices for Validating the Performance of Data Center Infrastructure. Henry He Ixia
Best Practices for Validating the Performance of Data Center Infrastructure Henry He Ixia Game Changers Big data - the world is getting hungrier and hungrier for data 2.5B pieces of content 500+ TB ingested
More informationIntelligent Edge Computing and ML-based Traffic Classifier. Kwihoon Kim, Minsuk Kim (ETRI) April 25.
Intelligent Edge Computing and ML-based Traffic Classifier Kwihoon Kim, Minsuk Kim (ETRI) (kwihooi@etri.re.kr, mskim16@etri.re.kr) April 25. 2018 ITU Workshop on Impact of AI on ICT Infrastructures Cian,
More informationMPLS Multi-protocol label switching Mario Baldi Politecnico di Torino (Technical University of Torino)
MPLS Multi-protocol label switching Mario Baldi Politecnico di Torino (Technical University of Torino) http://staff.polito.it/mario.baldi MPLS - 1 From MPLS Forum Documents MPLS is the enabling technology
More informationMobilityFirst: A Robust and Trustworthy Mobility- Centric Architecture for the Future Internet
MobilityFirst: A Robust and Trustworthy Mobility- Centric Architecture for the Future Internet Dipankar Raychaudhuri, Kiran Nagaraja WINLAB, Rutgers University Technology Centre of NJ, 671 Route 1 North
More information5G Network Architecture
5G Network Architecture A healthy balance between Evolution and Revolution Peter Merz Head of Radio Systems Technology and Innovation Nokia Networks 1 Nokia 2015 Johannesberg Summit 2015 Peter Merz NGMN
More informationFuture Internet Research using OpenFlow
13 th German-Japanese Symposium Future Internet Research using OpenFlow NEC Corporation 13 September, 2010 Page 1 Agenda Trend of ICT world Infrastructure virtualization and Network OS OpenFlow for network
More informationWireless Challenges : Computer Networking. Overview. Routing to Mobile Nodes. Lecture 25: Wireless Networking
Wireless Challenges 15-441: Computer Networking Lecture 25: Wireless Networking Force us to rethink many assumptions Need to share airwaves rather than wire Don t know what hosts are involved Host may
More informationThroughput & Latency Control in Ethernet Backplane Interconnects. Manoj Wadekar Gary McAlpine. Intel
Throughput & Latency Control in Ethernet Backplane Interconnects Manoj Wadekar Gary McAlpine Intel Date 3/16/04 Agenda Discuss Backplane challenges to Ethernet Simulation environment and definitions Preliminary
More information5g for connected industries
5g for connected industries Johan Torsner Research Manager Ericsson Finland Page 1 5G Use Cases P??? Broadband experience everywhere anytime Mass market personalized media and gaming Meters and sensors,
More informationGENI Experimental Infrastructure Wireless & Sensor Networks Aug 8, 2005
GENI Experimental Infrastructure Wireless & Sensor Networks Aug 8, 2005 Rutgers, The State University of New Jersey D. Raychaudhuri ray@winlab.rutgers.edu www.winlab.rutgers.edu 1 GENI Wireless Network
More informationHow YouTube Performance is Improved in the T-Mobile Network. Jie Hui, Kevin Lau, Ankur Jain, Andreas Terzis, Jeff Smith T Mobile, Google
How YouTube Performance is Improved in the T-Mobile Network Jie Hui, Kevin Lau, Ankur Jain, Andreas Terzis, Jeff Smith T Mobile, Google Speakers Jie Hui Kevin Lau Ankur Jain Andreas Terzis Jeff Smith Executive
More informationCreating the Future on the Shoulders of a Giant ZTE Flagship Tbit Optical Platform
Creating the Future on the Shoulders of a Giant ------ZTE Flagship Tbit Optical Platform Led by the rapid development of emerging services including HD (high definition) video, VR (virtual reality) and
More informationDTN Interworking for Future Internet Presented by Chang, Dukhyun
DTN Interworking for Future Internet 2008.02.20 Presented by Chang, Dukhyun Contents 1 2 3 4 Introduction Project Progress Future DTN Architecture Summary 2/29 DTN Introduction Delay and Disruption Tolerant
More informationBe Fast, Cheap and in Control with SwitchKV. Xiaozhou Li
Be Fast, Cheap and in Control with SwitchKV Xiaozhou Li Goal: fast and cost-efficient key-value store Store, retrieve, manage key-value objects Get(key)/Put(key,value)/Delete(key) Target: cluster-level
More informationA Hierarchically Aggregated In-Network Global Name Resolution Service for the Mobile Internet
1 A Hierarchically Aggregated In-Network Global Name Resolution Service for the Mobile Internet Yi Hu, Roy D. Yates, Dipankar Raychaudhuri WINLAB, Rutgers University {yihu, ryates, ray}@winlab.rutgers.edu
More informationMONitoring Agents using a Large Integrated Services Architecture. Iosif Legrand California Institute of Technology
MONitoring Agents using a Large Integrated s Architecture California Institute of Technology Distributed Dynamic s Architecture Hierarchical structure of loosely coupled services which are independent
More informationTransport Protocols for Data Center Communication. Evisa Tsolakou Supervisor: Prof. Jörg Ott Advisor: Lect. Pasi Sarolahti
Transport Protocols for Data Center Communication Evisa Tsolakou Supervisor: Prof. Jörg Ott Advisor: Lect. Pasi Sarolahti Contents Motivation and Objectives Methodology Data Centers and Data Center Networks
More informationLecture 8 Wireless Sensor Networks: Overview
Lecture 8 Wireless Sensor Networks: Overview Reading: Wireless Sensor Networks, in Ad Hoc Wireless Networks: Architectures and Protocols, Chapter 12, sections 12.1-12.2. I. Akyildiz, W. Su, Y. Sankarasubramaniam
More informationPath Awareness and Selection in the Socket Intents prototype. Theresa Enghardt TU Berlin
Path Awareness and Selection in the Socket Intents prototype Theresa Enghardt TU Berlin theresa@inet.tu-berlin.de Scenario: Multiple paths Multiple paths via different access networks Laptop can use WiFi
More informationOutline. Circuit Switching. Circuit Switching : Introduction to Telecommunication Networks Lectures 13: Virtual Things
8-5: Introduction to Telecommunication Networks Lectures : Virtual Things Peter Steenkiste Spring 05 www.cs.cmu.edu/~prs/nets-ece Outline Circuit switching refresher Virtual Circuits - general Why virtual
More informationIxLoad LTE Evolved Packet Core Network Testing: enodeb simulation on the S1-MME and S1-U interfaces
IxLoad LTE Evolved Packet Core Network Testing: enodeb simulation on the S1-MME and S1-U interfaces IxLoad is a full-featured layer 4-7 test application that provides realworld traffic emulation testing
More informationFlexible networks for Beyond 4G Lauri Oksanen Head of Research Nokia Siemens Networks
Flexible networks for Beyond 4G Lauri Oksanen Head of Research Nokia Siemens Networks 1 Nokia Siemens Networks 2012 Key requirements towards 2020 Support up to 1000 times more traffic Manage up to 10 times
More information5G and Licensed/Unlicensed Convergence
5G and Licensed/Unlicensed Convergence WBA Conference November 2016 Dave Wolter Wireless Trends Continued rapid growth of data demand IoT will drive growth in connected devices Wireless Everything Everywhere
More informationMobile Edge Computing for 5G: The Communication Perspective
Mobile Edge Computing for 5G: The Communication Perspective Kaibin Huang Dept. of Electrical & Electronic Engineering The University of Hong Kong Hong Kong Joint Work with Yuyi Mao (HKUST), Changsheng
More informationTuned Pipes: End-to-end Throughput and Delay Guarantees for USB Devices. Ahmad Golchin, Zhuoqun Cheng and Richard West Boston University
Tuned Pipes: End-to-end Throughput and Delay Guarantees for USB Devices Ahmad Golchin, Zhuoqun Cheng and Richard West Boston University Motivations Cyber-physical applications Sensor-actuator loops Ubiquity
More information5G Techniques for Ultra Reliable Low Latency Communication. Dr. Janne Peisa Principal Researcher, Ericsson Research
5G Techniques for Ultra Reliable Low Latency Communication Dr. Janne Peisa Principal Researcher, Ericsson Research 5G is use case driven Massive MTC Critical MTC LOGISTICS TRAFFIC SAFETY & CONTROL SMART
More informationWireless Access Considerations for the MobilityFirst Future Internet Architecture
Wireless Access Considerations for the MobilityFirst Future Internet Architecture Akash Baid, Dipankar Raychaudhuri WINLAB, Rutgers University, {baid, ray}@winlab.rutgers.edu Abstract This paper presents
More informationMOBILE CONTENT DELIVERY IN INFORMATION-CENTRIC NETWORK
MOBILE CONTENT DELIVERY IN INFORMATION-CENTRIC NETWORK by FEIXIONG ZHANG A dissertation submitted to the Graduate School New Brunswick Rutgers, The State University of New Jersey In partial fulfillment
More informationMulti-class Applications for Parallel Usage of a Guaranteed Rate and a Scavenger Service
Department of Computer Science 1/18 Multi-class Applications for Parallel Usage of a Guaranteed Rate and a Scavenger Service Markus Fidler fidler@informatik.rwth-aachen.de Volker Sander sander@fz.juelich.de
More informationWhite Paper: Next generation disaster data infrastructure CODATA LODGD Task Group 2017
White Paper: Next generation disaster data infrastructure CODATA LODGD Task Group 2017 Call for Authors This call for authors seeks contributions from academics and scientists who are in the fields of
More informationCloudAP: Improving the QoS of Mobile Applications with Efficient VM Migration
CloudAP: Improving the QoS of Mobile Applications with Efficient VM Migration Renyu Yang, Ph.D. Student School of Computing, Beihang University yangry@act.buaa.edu.cn In IEEE HPCC, Zhangjiajie, China,
More informationMETIS Concepts for 5G. Hugo Tullberg, Ph.D. METIS Technical Manager
METIS Concepts for 5G Hugo Tullberg, Ph.D. METIS Technical Manager 2014-04-28 METIS Scenarios Amazingly fast (Very high data rate) Super real-time and reliable connections (Very low latency) Best experience
More informationWireless Challenges : Computer Networking. Overview. Routing to Mobile Nodes. Lecture 24: Mobile and Wireless
Wireless Challenges 15-441: Computer Networking Lecture 24: Mobile and Wireless Peter Steenkiste Fall 2010 www.cs.cmu.edu/~prs/15-441-f10 Force us to rethink many assumptions Need to share airwaves rather
More informationEnhancing the Student Experience: SDN Wifi
Enhancing the Student Experience: SDN Wifi Henry Batten UK&I HE/FE Manager hbatten@merunetworks.com By Meru Networks 2014 Customer Acquisition slide (since Q4 2008) Business Highlights Founded in 2002
More informationAdaptive SMT Control for More Responsive Web Applications
Adaptive SMT Control for More Responsive Web Applications Hiroshi Inoue and Toshio Nakatani IBM Research Tokyo University of Tokyo Oct 27, 2014 IISWC @ Raleigh, NC, USA Response time matters! Peak throughput
More informationIQ for DNA. Interactive Query for Dynamic Network Analytics. Haoyu Song. HUAWEI TECHNOLOGIES Co., Ltd.
IQ for DNA Interactive Query for Dynamic Network Analytics Haoyu Song www.huawei.com Motivation Service Provider s pain point Lack of real-time and full visibility of networks, so the network monitoring
More informationlecture 18: network virtualization platform (NVP) 5590: software defined networking anduo wang, Temple University TTLMAN 401B, R 17:30-20:00
lecture 18: network virtualization platform (NVP) 5590: software defined networking anduo wang, Temple University TTLMAN 401B, R 17:30-20:00 Network Virtualization in multi-tenant Datacenters Teemu Koponen.,
More informationReal-Time Internet of Things
Real-Time Internet of Things Chenyang Lu Cyber-Physical Systems Laboratory h7p://www.cse.wustl.edu/~lu/ Internet of Things Ø Convergence of q Miniaturized devices: integrate processor, sensors and radios.
More informationDeterministic Ethernet & Unified Networking
Deterministic Ethernet & Unified Networking Never bet against Ethernet Mirko Jakovljevic mirko.jakovljevic@tttech.com www.tttech.com Copyright TTTech Computertechnik AG. All rights reserved. About TTTech
More informationTowards the Standardization of Transparency and Isolation Metrics for Virtual Network Elements in SDN
Towards the Standardization of Transparency and Isolation Metrics for Virtual Network Elements in SDN K. Tutschku (kurt.tutschku@bth.se) In collaboration with D. Stezenbach (david.stezenbach@univie.ac.at)
More informationCongestion Control For Coded TCP. Doug Leith
Congestion Control For Coded TCP Doug Leith Outline Why do error-correction coding at the transport layer? Congestion control on lossy paths Implementation & performance measurements Why error-correction
More informationManaging and Securing Computer Networks. Guy Leduc. Chapter 2: Software-Defined Networks (SDN) Chapter 2. Chapter goals:
Managing and Securing Computer Networks Guy Leduc Chapter 2: Software-Defined Networks (SDN) Mainly based on: Computer Networks and Internets, 6 th Edition Douglas E. Comer Pearson Education, 2015 (Chapter
More informationComputer Science 461 Final Exam May 22, :30-3:30pm
NAME: Login name: Computer Science 461 Final Exam May 22, 2012 1:30-3:30pm This test has seven (7) questions, each worth ten points. Put your name on every page, and write out and sign the Honor Code pledge
More informationLecture 04 Introduction: IoT Networking - Part I
Introduction to Industry 4.0 and Industrial Internet of Things Prof. Sudip Misra Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur Lecture 04 Introduction: IoT Networking
More informationegtp Service Configuration Mode Commands
The egtp Service Configuration Mode is used to create and manage Evolved GPRS Tunneling Protocol (egtp) interface types and associated parameters. Command Modes Exec > Global Configuration > Context Configuration
More informationHybrid Communication. CODECS Workshop / May 19, 2017 Karsten Roscher, Fraunhofer ESK Enrique Onieva, Deusto
Hybrid Communication CODECS Workshop / May 19, 2017 Karsten Roscher, Fraunhofer ESK Enrique Onieva, Deusto Contents Project Overview Hybrid Communication Concepts Services Enabled by Hybrid Communication
More informationScalable Enterprise Networks with Inexpensive Switches
Scalable Enterprise Networks with Inexpensive Switches Minlan Yu minlanyu@cs.princeton.edu Princeton University Joint work with Alex Fabrikant, Mike Freedman, Jennifer Rexford and Jia Wang 1 Enterprises
More informationPrototyping and Evaluation of Mobility First Architecture
Prototyping and Evaluation of Mobility First Architecture Kiran Nagaraja, Ivan Seskar Rutgers, The State University of New Jersey Contact: nkiran (at) winlab (dot) rutgers (dot) edu NSF FIA MobilityFirst
More informationCCTCP: A Scalable Receiver-driven Congestion Control Protocol for Content Centric Networking
CCTCP: A Scalable Receiver-driven Congestion Control Protocol for Content Centric Networking Lorenzo Saino, Cosmin Cocora and George Pavlou Communications and Information Systems Group Department of Electrical
More informationContent Delivery in the MobilityFirst Future Internet Architecture
Content Delivery in the MobilityFirst Future Internet Architecture Feixiong Zhang, Kiran Nagaraja, Yanyong Zhang, Dipankar Raychaudhuri WINLAB, Rutgers University 671 Route 1 South, North Brunswick, NJ
More informationHow Smart Networks are changing the Corporate WAN
How Smart Networks are changing the Corporate WAN Mark Bennett Head of Global Fixed Connectivity Vodafone Group Enterprise September 12017 About Vodafone Enterprise Unified Comms Cloud & Hosting Internet
More informationCato Cloud. Software-defined and cloud-based secure enterprise network. Solution Brief
Cato Cloud Software-defined and cloud-based secure enterprise network Solution Brief Legacy WAN and Security Appliances are Incompatible with the Modern Enterprise Cato Networks: Software-defined and Cloud-based
More informationData Centers and Cloud Computing
Data Centers and Cloud Computing CS677 Guest Lecture Tim Wood 1 Data Centers Large server and storage farms 1000s of servers Many TBs or PBs of data Used by Enterprises for server applications Internet
More informationData Centers and Cloud Computing. Slides courtesy of Tim Wood
Data Centers and Cloud Computing Slides courtesy of Tim Wood 1 Data Centers Large server and storage farms 1000s of servers Many TBs or PBs of data Used by Enterprises for server applications Internet
More informationFuture Service Adaptive Access/Aggregation Network Architecture
Future Service Adaptive Access/Aggregation Network Architecture Hiroki Ikeda: Hitachi Ltd. H. Takeshita, S. Okamoto, N. Yamanaka: Keio University hiroki.ikeda.qp@hitachi.com www.mpls2010.com Outline Motivation
More information휴대인터넷. 2.3GHz Portable Internet - WiBro - Changhoi Koo Samsung Electronics. Co. November, 5, 2004
휴대인터넷 2.3GHz Portable Internet - WiBro - November, 5, 2004 Changhoi Koo (chkoo@samsung.com) Samsung Electronics. Co. Contents Introduction to WiBro Systems Definition Positioning System Specification Protocol
More informationCE693: Adv. Computer Networking
CE693: Adv. Computer Networking L-10 Wireless Broadcast Fall 1390 Acknowledgments: Lecture slides are from the graduate level Computer Networks course thought by Srinivasan Seshan at CMU. When slides are
More informationINESC TEC. Centre for Telecomunications and Multimedia. 21 March Manuel Ricardo. CTM Coordinator
1 INESC TEC Centre for Telecomunications and Multimedia 21 March 2017 Manuel Ricardo CTM Coordinator CTM Scientific Areas Information Processing and Pattern Recognition (IPPR) - computer vision - intelligent
More informationSystems Ph.D. Qualifying Exam
Systems Ph.D. Qualifying Exam Spring 2011 (March 22, 2011) NOTE: PLEASE ATTEMPT 6 OUT OF THE 8 QUESTIONS GIVEN BELOW. Question 1 (Multicore) There are now multiple outstanding proposals and prototype systems
More informationLesson 10 Virtualization & Data Centric Network
Lesson 10 Virtualization & Data Centric Network n Objectives : Network function, system and link virtualization are new techniques for flexible and cost effective network. And SDN (Software Difined Network)
More informationUpgrading Transport Protocols using Untrusted Mobile Code
Key Point Upgrading Transport Protocols using Untrusted Mobile Code Parveen Patel Jay Lepreau Tim Stack (Univ. of Utah) Andrew Whitaker David Wetherall (Univ. of Washington) Untrusted mobile code can allow
More informationTime-Sensitive Networking: A Technical Introduction
Time-Sensitive Networking: A Technical Introduction 2017 Cisco and/or its affiliates. All rights reserved. What is time-sensitive networking (TSN)? In its simplest form, TSN is the IEEE 802.1Q defined
More information