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Optimizing Integrated Broadband Network Bandwidth Utilization Through Connection Admission Control Using Weighted Round Robin Queue Server Measurements by Stephen A. Oliva B.S. University of Rhode Island, 1967 M.S. Rutgers University, 1974 Submitted to the Department of Electrical Engineering and Computer Science and the Faculty of the Graduate School of the University of Kansas in partial fulfillment of the requirements for the degree of Doctor of Philosophy. <Victor S. Frost>_______________________ Chairman <Joseph R. Evans>______________________ <James D. Church>_____________________ <Swapan Chakrabati>___________________ <David W. Petr>________________________ Committee Members March 12, 1999______________________ Date dissertation defended Abstract This research addresses improvements to network resource utilization through a specific means of measurement-based control of traffic admission in broadband integrated services digital networks. A method and system for Connection Admission Control (CAC) in a communications network, such as an ATM formatted B-ISDN network, is defined, analyzed, and tested. Using end-to-end virtual path (VP) structures and class-of-service separation, various network connections, or virtual channels (VC), are administered using a weighted round robin connection server. Network users aware of this network structure and the means by which queue lengths are determined may easily calculate a Sustainable Cell Rate (SCR) for the traffic they wish to introduce into the network path for transmission to a given destination. The user declared SCR, in addition to other user declared traffic parameters, determines the queue lengths allocated in the network switches, such that a required level of Quality of Service (QoS) is maintained. A measurement of certain types of transmitted cells in a VP, such as idle, unassigned, or low-priority cells, is made at the source of the VP. This measurement of cells that may be considered to be “empty”, i.e., available for use by high- priority cells, is used as the basis for a determination of additional allowable connections that can be admitted to a VP. Relationships and bounds are determined through analysis of the mean number of “empty” cells per cycle of the connection server and the cell rate bandwidth that may be allowed to enter a VP that is already “full”, based on the sum of the SCR of its existing component connections. These relationships are used as the basis of CAC, allowing connections to be admitted to a “full” virtual path if the cell rate of the requested connection is less than the allowable cell rate statistically determined from the mean number of “empty” cell timeslots in the path. Thus, a network VP can support bandwidth greater than the sum of the SCR of its included connections while maintaining required QoS. i Acknowledgements This dissertation could not have been completed without the support and inspiration of many people. I would like to acknowledge the contributions of, and thank, the following: My wife, Marianne, for her encouragement and support of my efforts throughout my studies and especially through the actual creation of this document. I can never thank her enough for her patience and understanding on those days during this undertaking where my approach to life in general was less than optimum. Dr. Victor Frost, for his guidance, support and encouragement, both as my dissertation advisor, and as my academic advisor. My dissertation committee members, Dr. Swapan Chakrabarti, Dr. James Church, Dr. Joseph Evans, and Dr. David Petr, for their overall encouragement, valuable suggestions, and careful reading of the document. Dennis Schnack, for his encouragement and support of my participation in the Sprint Corporation Advanced Technical Degree Sabbatical Program, as well as Karl Kramer, Marty Kaplan, and George Fuciu, whose confidence in my abilities and approval of my participation in the program made this work possible. Al White, for his steadfast encouragement of my research efforts, and understanding when things went a little slower than originally anticipated. Chuck Weber, Steve Drumm, Scott Neal, Antwan Piggott, Ed Wortmann, and other members of the Sprint Technology Integration and Operations Center team, as well as Roel Jonkman, of the University of Kansas Information and Telecommunication Technology Center staff, whose expertise in keeping computer networks working properly insured the timely and successful completion of simulations described in this document. Sprint Corporation, through the Advanced Technical Degree Sabbatical Program, provided support for this research. ii I dedicate this work to my mother, Elizabeth Oliva, and to the memory of my father, Michael J. Oliva, to whom I owe everything I have accomplished in life. Table of Contents Page Abstract......................................................................................................................................i Acknowledgements...................................................................................................................ii Table of Contents.....................................................................................................................iii List of Figures..........................................................................................................................vi List of Tables..........................................................................................................................viii Chapter 1 Chapter Contents.................................................................................................................1-i List of Figures.....................................................................................................................1-ii 1. INTRODUCTION..........................................................................................................1-1 1.1 Problem Statement...................................................................................................1-3 1.2 Background..............................................................................................................1-6 1.3 Dissertation Overview...........................................................................................1-49 Chapter 2 Chapter Contents.................................................................................................................2-i List of Figures.....................................................................................................................2-ii 2. A NEW METHOD FOR DETERMINING AVAILABLE BANDWIDTH..................2-1 2.1 A Model for Determining Available Bandwidth.....................................................2-2 2.2 Choice of Additional Implementation Alternatives...............................................2-11 2.3 Implementing the New Model in a Network.........................................................2-14 2.4 CAC Functions of the Model.................................................................................2-22 2.5 Methodology for Studying WRR Measurement Based CAC................................2-26 iii 2.6 Summary................................................................................................................2-29 Chapter 3 Chapter Contents.................................................................................................................3-i List of Figures.....................................................................................................................3-ii 3. ANALYSIS OF WRR QUEUE SERVICE MEASUREMENTS...................................3-1 3.1 Summary of the Connection Admission Control (CAC) Scenario..........................3-2 3.2 An Example: Determination of SCR using Equivalent Capacity............................3-4 3.3 Determination of Mean Empty Timeslots per WRR Cycle.....................................3-6 3.4 Determination of Available Capacity in a “Full” Virtual Path..............................3-11 3.5 Admission of “Additional” Traffic........................................................................3-43 3.6 Considerations in Admitting “Additional” Traffic................................................3-54 3.7 Summary................................................................................................................3-56 Chapter 4 Chapter Contents.................................................................................................................4-i List of Figures.....................................................................................................................4-ii List of Tables.....................................................................................................................4-iii 4. EVALUATION AND DISCUSSION OF RESULTS....................................................4-1 4.1 Evaluation: Traffic and Path Model Simulation......................................................4-1 4.2 Discussion of Results.............................................................................................4-22 4.3 Summary................................................................................................................4-23 iv Chapter 5 Chapter Contents.................................................................................................................5-i List of Figures.....................................................................................................................5-ii 5. CONCLUSIONS AND FUTURE DIRECTIONS.........................................................5-1 5.1 Conclusions..............................................................................................................5-1 5.2 Future Directions...................................................................................................5-11 References.............................................................................................................................R-1 Appendix A...........................................................................................................................A-1 Appendix B...........................................................................................................................B-1 Appendix C...........................................................................................................................C-1 Appendix D...........................................................................................................................D-1 Appendix E.............................................................................................................................E-1 v List of Figures Figure 1-1: Classification of CAC Schemes.................................................................1-16 Figure 1-2: Network Model, No Core Switches............................................................1-43 Figure 1-3: Network Model, Using Core Switches.......................................................1-43 Figure 1-4: Step By Step CAC......................................................................................1-45 Figure 1-5: Parameter Database and Control System CAC..........................................1-45 Figure 1-6: End-to-End Path Based...............................................................................1-46 Figure 2-1: Basic WRR Path Queuing Model................................................................2-4 Figure 2-2: WRR Scheduling of Three Traffic Streams (Example)................................2-7 Figure 2-3: Rigid Cycle Scheduling with Idle Cell in Empty Slot (Example)................2-7 Figure 2-4: WRR Scheduling with Empty Slot (Example).............................................2-8 Figure 2-5: WWR Schedule with Added Traffic Stream (Example)..............................2-8 Figure 2-6: WRR Schedule with Queue Skipped (Example A)......................................2-9 Figure 2-7: WRR Schedule with Queue Skipped (Example B)....................................2-10 Figure 2-8: Source Switch Functionality.......................................................................2-18 Figure 2-9: Destination Switch Functionality...............................................................2-21 Figure 2-10: Virtual Path with N Virtual Channels to Given Destination....................2-23 Figure 2-11: Network Model for Analysis and Evaluation Summary..........................2-28 Figure 3-1:WRR Path Queuing Model for CBR/VBR Traffic........................................3-3 Figure 3-2: Normal Approximation to a Binomial Distribution, N=10, p=.5...............3-27 Figure 3-3: Worst Case Maximum Burst Relationships for Policed Traffic.................3-37 Figure 3-4: Worst Case Scenario for M Queues of GCRA Policed Traffic..................3-38 Figure 3-5: Added Connection Cell Rate, Single Empty Timeslot Method..................3-41 Figure 3-6: Added Connection Cell Rate, Multiple Empty Timeslot Method..............3-41 vi Figure 3-7: Typical Correlation Coefficients of Samples of X......................................3-49 Figure 3-8: Estimated Correlation Coefficients of X.....................................................3-49 Figure 4-1: Empty Timeslots per Cycle, Short Burst Traffic Stream Scenario...............4-8 Figure 4-2: Empty Timeslots per Cycle, Long Burst Traffic Stream Scenario...............4-9 Figure 4-3: Typical Estimated Allowable Mean Over 10,000 WRR Cycles................4-16 Figure 4-4: Allowable Mean from 10 Queue Scenario.................................................4-17 Figure 4-5: Allowable Mean from 20 Queue Scenario.................................................4-18 Figure 4-6: Typical “Added” Queue Simulation Results..............................................4-21 Figure 5-1. CAC Algorithm............................................................................................5-9 vii List of Tables Table 1-1: ATM Source Category Attributes..............................................................................1-12 Table 4-1. Mean Empty Timeslots per Cycle, Scheduled and Skipped Queue Models...............4-10 Table 4-2. Typical Mean, Variance and Minimum Estimated Variance of Sample Means.........4-13 viii Chapter 1 Introduction

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communications network, such as an ATM formatted B-ISDN network, is defined, analyzed, Thus, a network VP can support bandwidth greater than the sum of The CVDT is specified at the user-network interface (UNI) and is for accomplishing congestion control are, to a great extent, built into the.
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