Connection-Level Scheduling in Wireless Networks Using Only MAC-Layer Information
|
|
- Elwin Wilcox
- 5 years ago
- Views:
Transcription
1 Connection-Level Scheduling in Wireless Networks Using Only MAC-Layer Information Javad Ghaderi, Tianxiong Ji and R. Srikant Coordinated Science Laboratory and Department of Electrical and Computer Engineering
2 Outline Background and Description of Problem Centralized scheduling algorithm with only MAC layer information Distributed implementation using CSMA.
3 Outline Background and Description of Problem Centralized scheduling algorithm with only MAC layer information Distributed implementation using CSMA.
4 Wireless Networks: Interference Model A collection of links with interference constraints Users may not be able to transmit simultaneously due to interference. Feasible schedule: a collection of links that can be activated simultaneously Medium Access Protocol (MAC): determines which users are to transmit at each time instant. Must satisfy interference constraints Achieve efficient use of resources Performance metrics: throughput and delay
5 Wireless Networks: Traffic Model Files/Connections arrive at link l according to some stochastic process with rate λ l. File/Connection size ~ mixture of Geometric distributions There are K file types, each type is geometrically distributed with different mean. A file arrived at links l can belong to type i with probability p li, i=1, 2,.., K. Motivation: Heavy-tail-distribution of file sizes in Internet Most of files are short but most of bytes are generated by long files. By controlling probabilities p li, for a fixed average file size, we can generate distributions with such properties.
6 MaxWeight: Static Connections Connections are not time varying. Packets of a connection arrive at a link according to some stochastic process. Selects a feasible schedule which maximizes the sum of weights of the selected links Weights are functions of queue lengths
7 MaxWeight: Dynamic Connections In presence of file/connection arrivals and departures Weight = a function of the total number of packets of all files at link Problem: Links with small queues may starve for long periods of time. Severe unfairness if file sizes can vary widely (short files may starve for long periods of time)
8 Background and Description of Problem Centralized Scheduling Algorithm with Only MAC-Layer Information Distributed implementation using CSMA.
9 Layered Network Model Scheduler is implemented as part of MAC layer. The TCP layer controls packet arrivals into the MAC layer Window flow control protocol, window size 1 Questions: Is MaxWeight with only MAC layer information still throughput optimal? Can it resolve the unfairness issue (better delay performance)?
10 Scheduling algorithm: Network State Which links to activate at each time? Which MAC layer packets to serve at an active link? Decisions should be made only based on MAC layer information. Network State: For each file: MAC-layer queue, congestion window size, transport-layer flow indicator (whether there are still packets of file at Transport layer or not) Additional information required for MAC-layer service discipline (FIFO, random, ), e.g., ordering of MAC-layer packets. Congestion window dynamics determined by the state Network Markov Chain is well-defined.
11 MaxWeight with MAC layer Information Weight of link l is a function of its MAC queue length (with modification when queue is zero): Our scheduling protocol: At each time t, the Log-Max-Weight algorithm finds a schedule s which maximizes
12 Throughput Optimality Main Result: The scheduling algorithm maximizes throughput, independent of congestion control algorithm and (non-idling) service discipline. Proof Sketch: The max weight algorithm with weight log(q l ) is throughput optimal, where q l is the expected number of packets waiting at link l. (Note: q l is a function of network state.) The difference between the link weight using q l and the weight using the MAC queue length q l mac is small. Therefore, using the MAC queue length is sufficient to ensure throughput optimality
13 Throughput Optimality: Proof Sketch n l : number of files at link l σ : max mean file size Because Taking log() The image cannot be displayed. Your computer may not have enough memory
14 Simulations: File Transfer Delays Only assumption on congestion window sizes used by the transport layer is that they are greater than zero and upper bounded 1-hop Interference model Mixture of Geometric distributions: mean 2 with probability 5/6 and mean 100 with probability 1/6. Simulations for different traffic intensities MAC-layer packets are removed in a FIFO order.
15 Simulations: File Transfer Delays Delay performance of short files Delay performance of long files Short file : files which are less than half of the mean file size.
16 Simulations: File Transfer Delays A large total queue length at a link does not imply a large number of files at that link. Regular MaxWeight chooses a link with large queue length but containing only a few files. MAC scheduler yields better delay performance compared to regular MaxWeight. 1-bit additional information to identify short files for shortfile-first MAC service discipline: delay performance will be even better.
17 Background and Description of Problem Centralized Scheduling Algorithm with Only MAC-Layer Information Distributed Implementation Using CSMA.
18 Distributed Implementation Previous result holds with weight functions of form where g(.) is an arbitrary increasing function. Use CSMA using such weight functions: Each time slot (t) is divided into two parts Control Data choose a decision schedule m(t) choose a data transmission schedule x(t)
19 Distributed Implementation Step 1: Generating Decision Schedule m(t) Each link i transmits an INTENT message with probability a i in the control slot t. Those links that transmit INTENT messages and do not hear any INTENT messages from the neighboring links consist a decision schedule m(t). Step 2: Generating Transmission Schedule x(t) For any link i in m(t) do If no links in its conflict set C(i) were active in the previous data slot, link i will decide to become active with probability p i : x i (t)=1 inactive with probability : x i (t)=0 Else, link i will remain inactive: x i (t)=0 Step 3: Data Transmission: In the data slot, use x(t) as the transmission schedule.
20 Distributed Implementation: Example Current schedule: x(t)={1, 5} Select a decision schedule: m={3, 5, 6} Allowed decisions for links in m: link 3: x 3 =0 (no choice) Link 5: x 5 =0 (w.p. 1-p 5 ) link 6: x 6 =1 (w.p. p 6 ) Other links states unchanged New schedule: x(t+1)={1, 6}
21 Distributed Implementation x(t) evolves as a Discrete-Time Markov Chain. If the weights do not change with time, the steady-state probability of using schedule x has the following productform: By letting, we have. But queues are actually changing with time, so weights are time-varying. ensures that weights change slowly enough such that the Markov chain remains close to its equilibrium distribution.
22 Distributed Implementation Hence, distributed algorithm chooses schedule x with probability where. Distributed algorithm chooses the MaxWeight schedule with high probability. Combined with previous result CSMA using only MAC layer information is throughput optimal where (No time scale separation assumption) g(.) can be arbitrarily slow increasing, so for large range of practical queue lengths.
23 Conclusions Scheduling Using MAC layer information Scheduler is implemented as part of MAC Layer Can resolve the unfairness issue (better delay) Can be throughput optimal if the link s weight is chosen as a log-wise function of its MAC queue. Such a weight function can be used in distributed implementation using CSMA (still throughput optimal with no time scale separation assumption) Under investigation: Extension to Multihop, general file size distributions
Markov Chains and Multiaccess Protocols: An. Introduction
Markov Chains and Multiaccess Protocols: An Introduction Laila Daniel and Krishnan Narayanan April 8, 2012 Outline of the talk Introduction to Markov Chain applications in Communication and Computer Science
More informationETSN01 Exam Solutions
ETSN01 Exam Solutions March 014 Question 1 (a) See p17 of the cellular systems slides for a diagram and the full procedure. The main points here were that the HLR needs to be queried to determine the location
More informationOptimal Routing and Scheduling in Multihop Wireless Renewable Energy Networks
Optimal Routing and Scheduling in Multihop Wireless Renewable Energy Networks ITA 11, San Diego CA, February 2011 MHR. Khouzani, Saswati Sarkar, Koushik Kar UPenn, UPenn, RPI March 23, 2011 Khouzani, Sarkar,
More informationInterference avoidance in wireless multi-hop networks 1
Interference avoidance in wireless multi-hop networks 1 Youwei Zhang EE228A Project Report, Spring 2006 1 Motivation Wireless networks share the same unlicensed parts of the radio spectrum with devices
More informationA Distributed Throughput-Optimal CSMA/CA
A Distributed Throughput-Optimal CSMA/CA Tae Hyun im, Jian Ni and Nitin H. Vaidya Technical Report, March 16, 2010. Coordinated Science Laboratory Dept. Electrical and Computer Engineering in the University
More informationJune 20th, École Polytechnique, Paris, France. A mean-field model for WLANs. Florent Cadoux. IEEE single-cell WLANs
Initial Markov under Bianchi s École Polytechnique, Paris, France June 20th, 2005 Outline Initial Markov under Bianchi s 1 2 Initial Markov under Bianchi s 3 Outline Initial Markov under Bianchi s 1 2
More informationThe Capacity of Wireless Networks
The Capacity of Wireless Networks Piyush Gupta & P.R. Kumar Rahul Tandra --- EE228 Presentation Introduction We consider wireless networks without any centralized control. Try to analyze the capacity of
More informationPower Laws in ALOHA Systems
Power Laws in ALOHA Systems E6083: lecture 7 Prof. Predrag R. Jelenković Dept. of Electrical Engineering Columbia University, NY 10027, USA predrag@ee.columbia.edu February 28, 2007 Jelenković (Columbia
More informationQueuing Delay and Achievable Throughput in Random Access Wireless Ad Hoc Networks
Queuing Delay and Achievable Throughput in Random Access Wireless Ad Hoc Networks Nabhendra Bisnik and Alhussein Abouzeid Rensselaer Polytechnic Institute Troy, NY bisnin@rpi.edu, abouzeid@ecse.rpi.edu
More informationAnalyzing Multi-Channel Medium Access Control Schemes With ALOHA Reservation
Analyzing Multi-Channel Medium Access Control Schemes With ALOHA Reservation Yunghsiang S. Han, Jing Deng and Zygmunt J. Haas Graduate Institute of Communication Engineering National Taipei University,
More informationA Survey on Congestion Control and Maximization of Throughput in Wireless Networks
A Survey on Congestion Control and Maximization of Throughput in Wireless Networks K.Ravindra Babu Post graduate student V.R.Siddhartha Engineering College ravindra.bec2008@gmail.com J.Ranga Rao Assistant
More informationIntroduction: Two motivating examples for the analytical approach
Introduction: Two motivating examples for the analytical approach Hongwei Zhang http://www.cs.wayne.edu/~hzhang Acknowledgement: this lecture is partially based on the slides of Dr. D. Manjunath Outline
More informationArchitectures and Algorithms for Wireless Networks
Architectures and Algorithms for Wireless Networks A. Eryilmaz R. Srikant (Ohio State University) (UIUC) Softcopy available at: http://www.ece.osu.edu/~eryilmaz/uiucsummerschool09.pdf Principles and Applications
More informationIEEE/ACM TRANSACTIONS ON NETWORKING 1. On the Efficiency of CSMA-CA Scheduling in Wireless Multihop Networks
IEEE/ACM TRANSACTIONS ON NETWORKING 1 On the Efficiency of CSMA-CA Scheduling in Wireless Multihop Networks Apoorva Jindal, Member, IEEE, and Konstantinos Psounis, Senior Member, IEEE Abstract This paper
More informationFlow-Level Analysis of Load Balancing in HetNets and Dynamic TDD in LTE
Flow-Level Analysis of Load Balancing in HetNets and Dynamic TDD in LTE Pasi Lassila (joint work with Samuli Aalto, Abdulfetah Khalid and Prajwal Osti) COMNET Department Aalto University, School of Electrical
More informationCS551 Router Queue Management
CS551 Router Queue Management Bill Cheng http://merlot.usc.edu/cs551-f12 1 Congestion Control vs. Resource Allocation Network s key role is to allocate its transmission resources to users or applications
More informationQueuing. Congestion Control and Resource Allocation. Resource Allocation Evaluation Criteria. Resource allocation Drop disciplines Queuing disciplines
Resource allocation Drop disciplines Queuing disciplines Queuing 1 Congestion Control and Resource Allocation Handle congestion if and when it happens TCP Congestion Control Allocate resources to avoid
More informationThroughput-Optimal Scheduling in Multihop Wireless Networks Without Per-Flow Information
IEEE/ACM TRANSACTIONS ON NETWORKING 1 Throughput-Optimal Scheduling in Multihop Wireless Networks Without Per-Flow Information Bo Ji, Student Member, IEEE, Changhee Joo, Member, IEEE, and Ness B. Shroff,Fellow,
More informationPerformance Analysis of WLANs Under Sporadic Traffic
Performance Analysis of 802.11 WLANs Under Sporadic Traffic M. Garetto and C.-F. Chiasserini Dipartimento di Elettronica, Politecnico di Torino, Italy Abstract. We analyze the performance of 802.11 WLANs
More informationTSIN01 Information Networks Lecture 3
TSIN01 Information Networks Lecture 3 Danyo Danev Division of Communication Systems Department of Electrical Engineering Linköping University, Sweden September 10 th, 2018 Danyo Danev TSIN01 Information
More informationUnit 2 Packet Switching Networks - II
Unit 2 Packet Switching Networks - II Dijkstra Algorithm: Finding shortest path Algorithm for finding shortest paths N: set of nodes for which shortest path already found Initialization: (Start with source
More informationLecture 9 November 12, Wireless Access. Graduate course in Communications Engineering. University of Rome La Sapienza. Rome, Italy
Lecture 9 November 12, 2018 Wireless Access Graduate course in Communications Engineering University of Rome La Sapienza Rome, Italy 2018-2019 Medium Access Control Scheduled access Classification of wireless
More informationMultiple Access (1) Required reading: Garcia 6.1, 6.2.1, CSE 3213, Fall 2010 Instructor: N. Vlajic
1 Multiple Access (1) Required reading: Garcia 6.1, 6.2.1, 6.2.2 CSE 3213, Fall 2010 Instructor: N. Vlajic Multiple Access Communications 2 Broadcast Networks aka multiple access networks multiple sending
More informationECEN 5032 Data Networks Medium Access Control Sublayer
ECEN 5032 Data Networks Medium Access Control Sublayer Peter Mathys mathys@colorado.edu University of Colorado, Boulder c 1996 2005, P. Mathys p.1/35 Overview (Sub)networks can be divided into two categories:
More informationDelay-Based Back-Pressure Scheduling in Multihop Wireless Networks
IEEE/ACM TRANSACTIONS ON NETWORKING 1 Delay-Based Back-Pressure Scheduling in Multihop Wireless Networks Bo Ji, Member, IEEE, Changhee Joo, Member, IEEE, and NessB.Shroff, Fellow, IEEE Abstract Scheduling
More informationRead Chapter 4 of Kurose-Ross
CSE 422 Notes, Set 4 These slides contain materials provided with the text: Computer Networking: A Top Down Approach,5th edition, by Jim Kurose and Keith Ross, Addison-Wesley, April 2009. Additional figures
More informationTCP challenges in multi-hop wireless networks. Why multi-hop?
TCP challenges in multi-hop wireless networks Konstantinos Psounis Assistant Professor EE and CS departments, USC Joint work with Vlad Balan, Ramesh Govindan, Ki- Young Jang, Apoorva Jindal, Sumit Rangwala
More informationLecture 21. Reminders: Homework 6 due today, Programming Project 4 due on Thursday Questions? Current event: BGP router glitch on Nov.
Lecture 21 Reminders: Homework 6 due today, Programming Project 4 due on Thursday Questions? Current event: BGP router glitch on Nov. 7 http://money.cnn.com/2011/11/07/technology/juniper_internet_outage/
More informationWireless Networks (CSC-7602) Lecture 8 (15 Oct. 2007)
Wireless Networks (CSC-7602) Lecture 8 (15 Oct. 2007) Seung-Jong Park (Jay) http://www.csc.lsu.edu/~sjpark 1 Today Wireline Fair Schedulling Why? Ideal algorithm Practical algorithms Wireless Fair Scheduling
More informationCHAPTER 5. QoS RPOVISIONING THROUGH EFFECTIVE RESOURCE ALLOCATION
CHAPTER 5 QoS RPOVISIONING THROUGH EFFECTIVE RESOURCE ALLOCATION 5.1 PRINCIPLE OF RRM The success of mobile communication systems and the need for better QoS, has led to the development of 3G mobile systems
More informationQueue Length Stability in Trees Under Slowly Convergent Traffic Using Sequential Maximal Scheduling
University of Pennsylvania ScholarlyCommons Departmental Papers (ESE) Department of Electrical & Systems Engineering November 2008 Queue Length Stability in Trees Under Slowly Convergent Traffic Using
More informationQueuing Systems. 1 Lecturer: Hawraa Sh. Modeling & Simulation- Lecture -4-21/10/2012
Queuing Systems Queuing theory establishes a powerful tool in modeling and performance analysis of many complex systems, such as computer networks, telecommunication systems, call centers, manufacturing
More informationDistributed Power Control and Coding-Modulation Adaptation in Wireless Networks using Annealed Gibbs Sampling
The 31st Annual IEEE International Conference on Computer Communications: Mini-Conference Distributed Power Control and Coding-Modulation Adaptation in Wireless Networks using Annealed Gibbs Sampling Shan
More informationMulti-Channel MAC for Ad Hoc Networks: Handling Multi-Channel Hidden Terminals Using A Single Transceiver
Multi-Channel MAC for Ad Hoc Networks: Handling Multi-Channel Hidden Terminals Using A Single Transceiver Jungmin So Dept. of Computer Science, and Coordinated Science Laboratory University of Illinois
More informationCS 556 Advanced Computer Networks Spring Solutions to Midterm Test March 10, YOUR NAME: Abraham MATTA
CS 556 Advanced Computer Networks Spring 2011 Solutions to Midterm Test March 10, 2011 YOUR NAME: Abraham MATTA This test is closed books. You are only allowed to have one sheet of notes (8.5 11 ). Please
More informationCHAPTER 3 EFFECTIVE ADMISSION CONTROL MECHANISM IN WIRELESS MESH NETWORKS
28 CHAPTER 3 EFFECTIVE ADMISSION CONTROL MECHANISM IN WIRELESS MESH NETWORKS Introduction Measurement-based scheme, that constantly monitors the network, will incorporate the current network state in the
More informationWSN NETWORK ARCHITECTURES AND PROTOCOL STACK
WSN NETWORK ARCHITECTURES AND PROTOCOL STACK Sensing is a technique used to gather information about a physical object or process, including the occurrence of events (i.e., changes in state such as a drop
More informationResource Allocation in Contention-Based WiFi Networks
The 2011 Santa Barbara Control Workshop Resource Allocation in Contention-Based WiFi Networks Laura Giarré Universita di Palermo (giarre@unipa.it) Joint works with I. Tinnirello (Università di Palermo),
More informationThroughput-Optimal Broadcast in Wireless Networks with Point-to-Multipoint Transmissions
Throughput-Optimal Broadcast in Wireless Networks with Point-to-Multipoint Transmissions Abhishek Sinha Laboratory for Information and Decision Systems MIT MobiHoc, 2017 April 18, 2017 1 / 63 Introduction
More informationSome Optimization Trade-offs in Wireless Network Coding
Some Optimization Trade-offs in Wireless Network Coding Yalin Evren Sagduyu and Anthony Ephremides Electrical and Computer Engineering Department and Institute for Systems Research University of Maryland,
More informationThroughput Analysis of CSMA Wireless Networks with Finite Offered-load
1 Throughput Analysis of CSMA Wireless Networks with Finite Offered-load Caihong Kai and Shengli Zhang School of Computer and Information, Hefei University of Technology, Hefei, China Department of Communication
More informationFairness in the IEEE network. Shun Y. Cheung
Fairness in the IEEE 802.11 network Shun Y. Cheung Simple FIFO queueing High data rate flow Output queue (infinite size) Low data rate flow Packets from low data rate flow experience excessive queueing
More informationModeling Wireless Networks for Rate Control. David C. Ripplinger
Modeling Wireless Networks for Rate Control David C. Ripplinger A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science
More informationB. Bellalta Mobile Communication Networks
IEEE 802.11e : EDCA B. Bellalta Mobile Communication Networks Scenario STA AP STA Server Server Fixed Network STA Server Upwnlink TCP flows Downlink TCP flows STA AP STA What is the WLAN cell performance
More informationTCP Unfairness in Ad Hoc Wireless Networks and a Neighborhood RED Solution
TCP Unfairness in Ad Hoc Wireless Networks and a Neighborhood RED Solution Kaixin Xu, Mario Gerla UCLA Computer Science Department Los Angeles, CA 995, USA {xkx, gerla}@cs.ucla.edu Lantao Qi, Yantai Shu
More informationOverview Computer Networking What is QoS? Queuing discipline and scheduling. Traffic Enforcement. Integrated services
Overview 15-441 15-441 Computer Networking 15-641 Lecture 19 Queue Management and Quality of Service Peter Steenkiste Fall 2016 www.cs.cmu.edu/~prs/15-441-f16 What is QoS? Queuing discipline and scheduling
More informationChannel-Hopping Multiple Access
Channel-Hopping Multiple Access Asimakis Tzamaloukas and J.J. Garcia-Luna-Aceves Computer Engineering Department Baskin School of Engineering University of California, Santa Cruz, California 9564 jamal,
More informationcs/ee 143 Communication Networks
cs/ee 143 Communication Networks Chapter 4 Transport Text: Walrand & Parakh, 2010 Steven Low CMS, EE, Caltech Recap: Internet overview Some basic mechanisms n Packet switching n Addressing n Routing o
More informationBlocking Avoidance in Wireless Networks
Blocking Avoidance in Wireless Networks Shanyu Zhou University of Illinois at Chicago szhou45@uic.edu Hulya Seferoglu University of Illinois at Chicago hulya@uic.edu Erdem Koyuncu University of California,
More informationAd hoc and Sensor Networks Chapter 13a: Protocols for dependable data transport
Ad hoc and Sensor Networks Chapter 13a: Protocols for dependable data transport Holger Karl Computer Networks Group Universität Paderborn Overview Dependability requirements Delivering single packets Delivering
More informationMAC Protocols and Packet Switching
MAC Protocols and Packet Switching 6.02 Fall 2013 Lecture 19 Today s Plan MAC Protocols: Randomized Access (Aloha) Stabilization Algorithms Packet Switching: Multi-Hop Networks Delays, Queues, and the
More informationCHAPTER 5 PROPAGATION DELAY
98 CHAPTER 5 PROPAGATION DELAY Underwater wireless sensor networks deployed of sensor nodes with sensing, forwarding and processing abilities that operate in underwater. In this environment brought challenges,
More informationPacket multiple access and the Aloha protocol
Packet multiple access and the Aloha protocol Massachusetts Institute of Technology Department of Aeronautics and Astronautics Slide 1 Packet Multiple Access PMA SHARED UPLINK TERMINAL TERMINAL APPL TRANS
More informationMultiple Access. Data Communications and Networking
Multiple Access In the previous part we discussed data link control, a mechanism which provides a link with reliable communication. In the protocols we described, we assumed that there is an available
More informationFast, Efficient, and Robust Multicast in Wireless Mesh Networks
fast efficient and robust networking FERN Fast, Efficient, and Robust Multicast in Wireless Mesh Networks Ian Chakeres Chivukula Koundinya Pankaj Aggarwal Outline IEEE 802.11s mesh multicast FERM algorithms
More informationStochastic Processing Networks: What, Why and How? Ruth J. Williams University of California, San Diego
Stochastic Processing Networks: What, Why and How? Ruth J. Williams University of California, San Diego http://www.math.ucsd.edu/~williams 1 OUTLINE! What is a Stochastic Processing Network?! Applications!
More informationScheduling Algorithms to Minimize Session Delays
Scheduling Algorithms to Minimize Session Delays Nandita Dukkipati and David Gutierrez A Motivation I INTRODUCTION TCP flows constitute the majority of the traffic volume in the Internet today Most of
More informationExploring the Inefficiency and Instability of Back-Pressure Algorithms
Exploring the Inefficiency and Instability of Back-Pressure Algorithms Bo Ji, Changhee Joo, and Ness B. Shroff Abstract In this paper, we focus on the issue of stability in multihop wireless networks under
More informationAnalytical Models for Understanding Misbehavior and MAC Friendliness in CSMA Networks
Analytical Models for Understanding Misbehavior and MAC Friendliness in CSMA Networks Zhefu Shi 1,CoryBeard 1,KenMitchell 1 University of Missouri-Kansas City Abstract Nodes using contention-based CSMA
More informationTime-Step Network Simulation
Time-Step Network Simulation Andrzej Kochut Udaya Shankar University of Maryland, College Park Introduction Goal: Fast accurate performance evaluation tool for computer networks Handles general control
More informationOSI Data Link Layer. Network Fundamentals Chapter 7. Version Cisco Systems, Inc. All rights reserved. Cisco Public 1
OSI Data Link Layer Network Fundamentals Chapter 7 Version 4.0 1 Objectives Explain the role of Data Link layer protocols in data transmission. Describe how the Data Link layer prepares data for transmission
More informationCSMA based Medium Access Control for Wireless Sensor Network
CSMA based Medium Access Control for Wireless Sensor Network H. Hoang, Halmstad University Abstract Wireless sensor networks bring many challenges on implementation of Medium Access Control protocols because
More informationELEC 537: COMMUNICATION NETWORKS, PROJECT REPORT, FALL
ELEC 537: COMMUNICATION NETWORKS, PROJECT REPORT, FALL 2009 1 Performance Evaluation of a Distributed CSMA Algorithm for Throughput and Utility Maximization Internal Report - Work in progress Lei Cao,
More informationMultiple Access Communications. EEE 538, WEEK 11 Dr. Nail Akar Bilkent University Electrical and Electronics Engineering Department
Multiple Access Communications EEE 538, WEEK 11 Dr. Nail Akar Bilkent University Electrical and Electronics Engineering Department 1 Multiple Access Satellite systems, radio networks (WLAN), ethernet segment
More informationWireless Multicast: Theory and Approaches
University of Pennsylvania ScholarlyCommons Departmental Papers (ESE) Department of Electrical & Systems Engineering June 2005 Wireless Multicast: Theory Approaches Prasanna Chaporkar University of Pennsylvania
More informationRouter s Queue Management
Router s Queue Management Manages sharing of (i) buffer space (ii) bandwidth Q1: Which packet to drop when queue is full? Q2: Which packet to send next? FIFO + Drop Tail Keep a single queue Answer to Q1:
More informationOnroad Vehicular Broadcast
Onroad Vehicular Broadcast Jesus Arango, Alon Efrat Computer Science Department University of Arizona Srinivasan Ramasubramanian, Marwan Krunz Electrical and Computer Engineering University of Arizona
More informationModeling the protocol under different capture and sensing capabilities
Modeling the 82. protocol under different capture and sensing capabilities Mathilde Durvy EPFL CH-5 Lausanne, Switzerland mathilde.durvy@epfl.ch Olivier Dousse Deutsch Telekom Laboratories 587 Berlin,
More informationStream Sessions: Stochastic Analysis
Stream Sessions: Stochastic Analysis Hongwei Zhang http://www.cs.wayne.edu/~hzhang Acknowledgement: this lecture is partially based on the slides of Dr. D. Manjunath and Dr. Kumar Outline Loose bounds
More informationStop-and-Go Service Using Hierarchical Round Robin
Stop-and-Go Service Using Hierarchical Round Robin S. Keshav AT&T Bell Laboratories 600 Mountain Avenue, Murray Hill, NJ 07974, USA keshav@research.att.com Abstract The Stop-and-Go service discipline allows
More informationDDSS: Dynamic Dedicated Servers Scheduling for Multi Priority Level Classes in Cloud Computing
DDSS: Dynamic Dedicated Servers Scheduling for Multi Priority Level Classes in Cloud Computing Husnu Saner Narman Md. Shohrab Hossain Mohammed Atiquzzaman School of Computer Science University of Oklahoma,
More informationIntroduction to Real-Time Communications. Real-Time and Embedded Systems (M) Lecture 15
Introduction to Real-Time Communications Real-Time and Embedded Systems (M) Lecture 15 Lecture Outline Modelling real-time communications Traffic and network models Properties of networks Throughput, delay
More informationCOMP3331/9331 XXXX Computer Networks and Applications Final Examination (SAMPLE SOLUTIONS)
COMP3331/9331 XXXX Computer Networks and Applications Final Examination (SAMPLE SOLUTIONS) Question 1 (X marks) (a) The one-way propagation delay between A and B is 100/1 = 100 seconds. The RTT will be
More informationRandom Access. 1. Aloha. 2. Slotted Aloha 3. CSMA 4. CSMA/CD
Random Access 1. Aloha 2. Slotted Aloha 3. CSMA 4. CSMA/CD Background Communication medium B No Collision collision A C Modern Local Area Networks (LANs) operate as follows Users are connected to communication
More informationPerformance Evaluation of Scheduling Mechanisms for Broadband Networks
Performance Evaluation of Scheduling Mechanisms for Broadband Networks Gayathri Chandrasekaran Master s Thesis Defense The University of Kansas 07.31.2003 Committee: Dr. David W. Petr (Chair) Dr. Joseph
More informationModèles pour le calcul du délai pire-cas de communication dans les réseaux IoT industriels
Modèles pour le calcul du délai pire-cas de communication dans les réseaux IoT industriels Katia Jaffrès-Runser, IRIT, Toulouse INP - ENSEEIHT Travaux menés avec - Qi Wang, Chinese Academy of Sciences,
More informationMarkov Model Based Congestion Control for TCP
Markov Model Based Congestion Control for TCP Shan Suthaharan University of North Carolina at Greensboro, Greensboro, NC 27402, USA ssuthaharan@uncg.edu Abstract The Random Early Detection (RED) scheme
More informationA Novel Scheduling and Queue Management Scheme for Multi-band Mobile Routers
A Novel Scheduling and Queue Management Scheme for Multi-band Mobile Routers Mohammed Atiquzzaman Md. Shohrab Hossain Husnu Saner Narman Telecommunications and Networking Research Lab The University of
More informationThroughput of Random Access without Message Passing
Throughput of Random Access without Message Passing Alexandre Proutiere Microsoft Research Joint work with Yung Yi and Mung Chiang CISS 2008, March 2008 Outline 1. Throughput optimality via distributed
More informationPERFORMANCE ANALISIS OF THE LEMR-MULTICHANNEL PROTOCOL
PERFORMANCE ANALISIS OF THE LEMR-MULTICHANNEL PROTOCOL Albeiro Cortés Cabezas Department of Electronic Engineering, Surcolombiana University Grupo de Tratamiento de Señales y Telecommunications - GTST
More informationA Better-Than-Best Effort Forwarding Service For UDP
University of North Carolina at Chapel Hill A Better-Than-Best Effort Forwarding Service For UDP Lightweight Active Queue Management for Multimedia Networking Kevin Jeffay Mark Parris Don Smith http://www.cs.unc.edu/reseach/dirt
More informationComparison of pre-backoff and post-backoff procedures for IEEE distributed coordination function
Comparison of pre-backoff and post-backoff procedures for IEEE 802.11 distributed coordination function Ping Zhong, Xuemin Hong, Xiaofang Wu, Jianghong Shi a), and Huihuang Chen School of Information Science
More informationSIMPLE MODEL FOR TRANSMISSION CONTROL PROTOCOL (TCP) Irma Aslanishvili, Tariel Khvedelidze
80 SIMPLE MODEL FOR TRANSMISSION CONTROL PROTOCOL (TCP) Irma Aslanishvili, Tariel Khvedelidze Abstract: Ad hoc Networks are complex distributed systems that consist of wireless mobile or static nodes that
More informationCapEst: Estimating wireless link capacity in multi-hop networks
CapEst: Estimating wireless link capacity in multi-hop networks Apoorva Jindal Juniper Networks Sunnyvale, CA 9489 Email: ajindal@juniper.net Konstantinos Psounis University of Southern California Los
More informationPromoting the Use of End-to-End Congestion Control in the Internet
Promoting the Use of End-to-End Congestion Control in the Internet Sally Floyd and Kevin Fall IEEE/ACM Transactions on Networking May 1999 ACN: TCP Friendly 1 Outline The problem of Unresponsive Flows
More information048866: Packet Switch Architectures
048866: Packet Switch Architectures Output-Queued Switches Deterministic Queueing Analysis Fairness and Delay Guarantees Dr. Isaac Keslassy Electrical Engineering, Technion isaac@ee.technion.ac.il http://comnet.technion.ac.il/~isaac/
More informationOn Generalized Processor Sharing with Regulated Traffic for MPLS Traffic Engineering
On Generalized Processor Sharing with Regulated Traffic for MPLS Traffic Engineering Shivendra S. Panwar New York State Center for Advanced Technology in Telecommunications (CATT) Department of Electrical
More informationBasic Switch Organization
NOC Routing 1 Basic Switch Organization 2 Basic Switch Organization Link Controller Used for coordinating the flow of messages across the physical link of two adjacent switches 3 Basic Switch Organization
More informationCo-existence of WiFi and ZigBee
Co-existence of WiFi and ZigBee Kang G. Shin The University of Michigan Joint work with Xinyu Zhang ACM MobiHoc 2011 Applying Autonomics to Create an Intelligent, Ubiquitous Environment Slide 1 Coexistence
More information1. Data Link Layer (Layer 2)
1. Data Link Layer (Layer 2) The Data Link layer provides a means for exchanging data over a common local media. The Data Link layer performs two basic services: Allows the upper layers to access the media
More informationA Multi-channel MAC Protocol for Ad Hoc Wireless Networks
A Multi-channel MAC Protocol for Ad Hoc Wireless Networks Jungmin So Dept. of Computer Science, and Coordinated Science Laboratory University of Illinois at Urbana-Champaign Email: jso1@uiuc.edu Nitin
More informationOutline Computer Networking. TCP slow start. TCP modeling. TCP details AIMD. Congestion Avoidance. Lecture 18 TCP Performance Peter Steenkiste
Outline 15-441 Computer Networking Lecture 18 TCP Performance Peter Steenkiste Fall 2010 www.cs.cmu.edu/~prs/15-441-f10 TCP congestion avoidance TCP slow start TCP modeling TCP details 2 AIMD Distributed,
More informationA Distributed CSMA Algorithm for Maximizing Throughput in Wireless Networks
International Journal of Information & Computation Technology. ISSN 0974-2239 Volume 2, Number 2 (2012), pp. 125-132 International Research Publications House http://www. ripublication.com A Distributed
More informationToward a Reliable Data Transport Architecture for Optical Burst-Switched Networks
Toward a Reliable Data Transport Architecture for Optical Burst-Switched Networks Dr. Vinod Vokkarane Assistant Professor, Computer and Information Science Co-Director, Advanced Computer Networks Lab University
More informationPriority Traffic CSCD 433/533. Advanced Networks Spring Lecture 21 Congestion Control and Queuing Strategies
CSCD 433/533 Priority Traffic Advanced Networks Spring 2016 Lecture 21 Congestion Control and Queuing Strategies 1 Topics Congestion Control and Resource Allocation Flows Types of Mechanisms Evaluation
More informationThe War Between Mice and Elephants
The War Between Mice and Elephants Liang Guo and Ibrahim Matta Computer Science Department Boston University 9th IEEE International Conference on Network Protocols (ICNP),, Riverside, CA, November 2001.
More informationWireless Networks (CSC-7602) Lecture 8 (22 Oct. 2007) Seung-Jong Park (Jay) Fair Queueing
Wireless Networks (CSC-7602) Lecture 8 (22 Oct. 2007) Seung-Jong Park (Jay) http://www.csc.lsu.edu/~sjpark Fair Queueing 2 Today Wireline Queue Drop Wireless Queue Drop 3 Types of Congestion Control Strategies
More informationGC-HDCN: A Novel Wireless Resource Allocation Algorithm in Hybrid Data Center Networks
IEEE International Conference on Ad hoc and Sensor Systems 19-22 October 2015, Dallas, USA GC-HDCN: A Novel Wireless Resource Allocation Algorithm in Hybrid Data Center Networks Boutheina Dab Ilhem Fajjari,
More informationMedium Access Control Protocols With Memory Jaeok Park, Member, IEEE, and Mihaela van der Schaar, Fellow, IEEE
IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 18, NO. 6, DECEMBER 2010 1921 Medium Access Control Protocols With Memory Jaeok Park, Member, IEEE, and Mihaela van der Schaar, Fellow, IEEE Abstract Many existing
More informationChannel-Hopping Multiple Access
Channel-Hopping Multiple Access Asimakis Tzamaloukas and J.J. Garcia-Luna-Aceves Computer Engineering Department Baskin School of Engineering University of California, Santa Cruz, California 9564 fjamal,
More information