research-article

Time-Utility Function-Driven Switched Ethernet: Packet Scheduling Algorithm, Implementation, and Feasibility Analysis

Authors:

Binoy RavindranAuthors Info & Claims

IEEE Transactions on Parallel and Distributed Systems, Volume 15, Issue 2

Pages 119 - 133

https://doi.org/10.1109/TPDS.2004.1264796

Published: 01 February 2004 Publication History

Abstract

Abstract--We present a MAC-layer, soft real-time packet scheduling algorithm called UPA. UPA considers a message model where message packets have end-to-end timeliness requirements that are specified using Jensen's Time-Utility Functions (TUFs). The algorithm seeks to maximize system-wide, aggregate packet utility. Since this scheduling problem is NP-hard, UPA heuristically computes schedules with a quadratic worst-case cost, faster than the previously best CMA algorithm. Our simulation studies show that UPA performs the same as or significantly better than CMA for a broad set of TUFs. Furthermore, we implement UPA and prototype a TUF-driven switched Ethernet system. The performance measurements of UPA from the implementation reveal its strong effectiveness. Finally, we derive timeliness feasibility conditions of TUF-driven switched Ethernet systems that use the UPA algorithm.

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Cited By

Yu JYi CZhang TZhu FCai J(2022)A Time Utility Function Driven Scheduling Scheme for Managing Mixed-Criticality Traffic in TSNWireless Algorithms, Systems, and Applications10.1007/978-3-031-19211-1_2(20-28)Online publication date: 24-Nov-2022
https://dl.acm.org/doi/10.1007/978-3-031-19211-1_2
Li XDong H(2021)A Transaction Trade-Off Utility Function Approach for Predicting the End-Price of Online Auctions in IoTWireless Communications & Mobile Computing10.1155/2021/66564212021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/6656421
Rokicki MZerr SSiersdorfer SBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Just in TimeProceedings of the 25th International Conference on World Wide Web10.1145/2872427.2883075(817-827)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.1145/2872427.2883075
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Index Terms

Time-Utility Function-Driven Switched Ethernet: Packet Scheduling Algorithm, Implementation, and Feasibility Analysis
1. Networks
  1. Network protocols
  2. Network types
    1. Packet-switching networks
2. Theory of computation
  1. Design and analysis of algorithms
    1. Approximation algorithms analysis
      1. Scheduling algorithms
    2. Online algorithms
      1. Online learning algorithms
        Scheduling algorithms
  2. Theory and algorithms for application domains
    1. Machine learning theory
      1. Reinforcement learning
        Sequential decision making

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cover image IEEE Transactions on Parallel and Distributed Systems

IEEE Transactions on Parallel and Distributed Systems Volume 15, Issue 2

February 2004

96 pages

ISSN:1045-9219

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Copyright © Copyright © 2004 IEEE. All Rights Reserved.

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IEEE Press

Publication History

Published: 01 February 2004

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Cited By

Yu JYi CZhang TZhu FCai J(2022)A Time Utility Function Driven Scheduling Scheme for Managing Mixed-Criticality Traffic in TSNWireless Algorithms, Systems, and Applications10.1007/978-3-031-19211-1_2(20-28)Online publication date: 24-Nov-2022
https://dl.acm.org/doi/10.1007/978-3-031-19211-1_2
Li XDong H(2021)A Transaction Trade-Off Utility Function Approach for Predicting the End-Price of Online Auctions in IoTWireless Communications & Mobile Computing10.1155/2021/66564212021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/6656421
Rokicki MZerr SSiersdorfer SBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Just in TimeProceedings of the 25th International Conference on World Wide Web10.1145/2872427.2883075(817-827)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.1145/2872427.2883075
Jing CZhu YLi M(2015)Customer satisfaction-aware scheduling for utility maximization on geo-distributed data centersConcurrency and Computation: Practice & Experience10.1002/cpe.331827:5(1334-1354)Online publication date: 10-Apr-2015
https://dl.acm.org/doi/10.1002/cpe.3318
Mohaqeqi MKargahi M(2013)Utility accrual object distribution in MPSoC real-time embedded systemsJournal of Computer and System Sciences10.1016/j.jcss.2012.09.00379:4(406-420)Online publication date: 1-Jun-2013
https://dl.acm.org/doi/10.1016/j.jcss.2012.09.003
Guerra RFohler GRosenstiel WMacii E(2012)On-line scheduling of target sensitive periodic tasks with the gravitational task modelProceedings of the Conference on Design, Automation and Test in Europe10.5555/2492708.2492852(578-581)Online publication date: 12-Mar-2012
https://dl.acm.org/doi/10.5555/2492708.2492852
Prabh KHauer J(2011)Opportunistic packet scheduling in body area networksProceedings of the 8th European conference on Wireless sensor networks10.5555/1966251.1966262(114-129)Online publication date: 23-Feb-2011
https://dl.acm.org/doi/10.5555/1966251.1966262
Raghavendra RKaminsky MPapagiannaki KSeshan SBelding E(2011)IdleChatACM SIGMOBILE Mobile Computing and Communications Review10.1145/2073290.207329315:3(10-22)Online publication date: 29-Nov-2011
https://dl.acm.org/doi/10.1145/2073290.2073293
Guerra RFohler GChu WWong WPalakal MHung C(2011)Handling overload of target sensitive real-time applications for increased system utility and improved resource usageProceedings of the 2011 ACM Symposium on Applied Computing10.1145/1982185.1982346(742-747)Online publication date: 21-Mar-2011
https://dl.acm.org/doi/10.1145/1982185.1982346
Garroppo RGiordano SIacono DTavanti L(2011)Game theory and time utility functions for a radio aware scheduling algorithm for WiMAX networksWireless Networks10.1007/s11276-011-0357-417:6(1441-1459)Online publication date: 1-Aug-2011
https://dl.acm.org/doi/10.1007/s11276-011-0357-4
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