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000856105 019__ $$a1034541630$$a1038429891$$a1048184249$$a1059246069$$a1066514977
000856105 020__ $$a9783319780818$$q(electronic book)
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000856105 0247_ $$a10.1007/978-3-319-78081-8$$2doi
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000856105 049__ $$aISEA
000856105 050_4 $$aHD69.P75
000856105 08204 $$a658.404$$223
000856105 1001_ $$aKumar, Akshay,$$eauthor.
000856105 24510 $$aDesign and implementation of practical schedulers for M2M uplink networks :$$busing MATLAB /$$cAkshay Kumar, Ahmed Abdelhadi, T. Charles Clancy.
000856105 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2018]
000856105 264_4 $$c©2018
000856105 300__ $$a1 online resource :$$billustrations
000856105 336__ $$atext$$btxt$$2rdacontent
000856105 337__ $$acomputer$$bc$$2rdamedia
000856105 338__ $$aonline resource$$bcr$$2rdacarrier
000856105 347__ $$atext file$$bPDF$$2rda
000856105 504__ $$aIncludes bibliographical references and index.
000856105 5050_ $$aIntro; Preface; Contents; Acronyms; 1 Introduction; 1.1 Organization; 1.2 Current Trends in End-to-End QoS; 1.2.1 QoS in Wired Networks; 1.2.2 QoS in Wireless Networks; 1.3 QoS in M2M Networks; 1.4 Problem Statement; 1.5 Contributions; 2 Background Information; 2.1 Delay Characterization Using Queuing Theory; 2.1.1 G/G/1 Priority Queuing System; 2.1.2 G/M/1 Priority Queuing System; 2.1.3 M/G/1 Priority Queuing System; 2.1.3.1 Special Case: M/D/1 Priority Queue; 2.1.3.2 Special Case: M/M/1 Priority Queue; 2.2 Packet Schedulers; 2.2.1 FCFS Scheduling.
000856105 5058_ $$a2.2.2 Non-preemptive Resume Priority Scheduling2.2.3 Preemptive Priority Scheduling; 2.3 Fairness of Resource Allocation; 2.3.1 Max-Min Fairness; 2.3.2 Proportional Fairness; 2.4 Convex Optimization: Lagrange Duality; 3 Delay-Efficient Multiclass Packet Scheduler; 3.1 Introduction; 3.2 Contributions; 3.3 M2M Uplink System Model; 3.4 Problem Formulation; 3.4.1 Application Utility Function; 3.4.1.1 ED Utility; 3.4.1.2 PU Utility; 3.4.2 Proportionally Fair System Utility Metric; 3.4.3 Optimization Problem; 3.5 Proposed Scheduler; 3.5.1 Service Order Between PU and ED Classes.
000856105 5058_ $$a3.5.2 Service Order Among PU Classes3.5.3 Service Order Among ED Classes; 3.5.4 Service Order Among Packets of a Given PU/ED Class; 3.5.5 Optimization Search Space; 3.6 Simulation Results; 3.6.1 Toy Case 1: One PU and One ED Class; 3.6.1.1 Impact of PU Latency Threshold lt and ED Utility Parameter, b; 3.6.1.2 Impact of ED Utility Parameter, a; 3.6.1.3 Impact of ED Arrival Rate; 3.6.2 Toy Case 2: Two PU and Two ED Classes; 3.6.2.1 Impact of QoS Heterogeneity of M2M Uplink; 3.6.2.2 Impact of Choice of ED Threshold; 3.6.2.3 Impact of Penalizing PU Failures; 3.7 Chapter Summary; 3.8 MATLAB Code.
000856105 5058_ $$a3.8.1 Utility Functions3.8.2 Packet Schedulers: One PU and One ED Class; 3.8.2.1 FCFS Policy; 3.8.2.2 EDD Policy; 3.8.2.3 Preemptive Priority Policy; 3.8.2.4 Proposed Packet Scheduler Without PU Packet Drops; 3.8.2.5 Proposed Packet Scheduler with PU Packet Drops; 3.8.3 Impact of ED Utility Parameter, a: One PU and One ED Class; 3.8.4 Impact of ED Utility Parameter, b: One PU and One ED Class; 3.8.5 Impact of ED Arrival Rate: One PU and OneED Class; 3.8.6 Packet Schedulers: Two PU and Two ED Classes; 3.8.6.1 FCFS Policy: Two PU and Two ED Classes; 3.8.6.2 EDD Policy: Two PU and Two ED Classes.
000856105 5058_ $$a3.8.6.3 Preemptive Priority Policy: Two PU and Two ED Classes3.8.6.4 Proposed Packet Scheduler Without PU Packet Drops: Two PU and Two ED Classes; 3.8.6.5 Proposed Packet Scheduler with PU Packet Drops: Two PU and Two ED Classes; 3.8.7 Impact of QoS Heterogeneity and Penalizing PU Failures on Performance of Schedulers; 4 Delay-Optimal Multiclass Packet Scheduler; 4.1 Introduction; 4.2 Contributions; 4.3 System Model; 4.4 Problem Formulation; 4.4.1 Class-Wise Service Utility Function; 4.4.2 Proportionally Fair System Utility Metric; 4.4.3 Direct Optimization.
000856105 506__ $$aAccess limited to authorized users.
000856105 520__ $$aThis book presents the design of delay-efficient packet schedulers for heterogeneous M2M uplink traffic classified into several classes, based on packet delay requirements, payload size, arrival process, etc. Specifically, the authors use tools from queuing theory to determine the delay-optimal scheduling policy. The proposed packet schedulers are designed for a generic M2M architecture and thus equally applicable to any M2M application. Additionally, due to their low implementation complexity and excellent delay-performance, they authors show how they are also well-suited for practical M2M systems. The book pertains primarily to real-time process scheduler experts in industry/academia and graduate students whose research deals with designing Quality-of-Service-aware packet schedulers for M2M packet schedulers over existing and future cellular infrastructure. Presents queuing theoretic analysis and optimization techniques used to design proposed packet scheduling strategies; Provides utility functions to precisely model diverse delay requirements, which lends itself to formulation of utility-maximization problems for determining the delay- or utility-optimal packet scheduler; Includes detail on low implementation complexity of the proposed scheduler by using iterative and distributed optimization techniques.
000856105 588__ $$aVendor-supplied metadata.
000856105 650_0 $$aProject management$$xComputer programs.
000856105 7001_ $$aAbdelhadi, Ahmed$$c(Engineer),$$eauthor.
000856105 7001_ $$aClancy, T. Charles,$$eauthor.
000856105 77608 $$iPrint version: $$z9783319780801
000856105 852__ $$bebk
000856105 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-78081-8$$zOnline Access$$91397441.1
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000856105 980__ $$aBIB
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