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QoS control for optimality and safety

Published: 18 September 2005 Publication History

Abstract

We propose a method for fine grain QoS control of real-time applications. The method allows adapting the overall system behavior by adequately setting the quality level parameters of its actions. The objective of the control policy is to meet QoS requirements including three types of properties: 1) safety that is, no deadline is missed; 2) optimality that is, maximization of the available time budget; 3) smoothness of quality levels. The method takes as input a model of the application software, QoS requirements and platform-dependent timing information, and produces a controlled application software meeting the QoS requirements on the target platform. This paper provides a complete formalization of the quality control problem. It proposes a new control management policy ensuring safety, near-optimality and smoothness. It also describes a prototype tool implementing the quality control algorithm and experimental results about its application to a video encoder.

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Cited By

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  • (2019)Performance evaluation of a new scheduling algorithm for distributed systems with security heterogeneityJournal of Parallel and Distributed Computing10.1016/j.jpdc.2007.06.00467:10(1067-1081)Online publication date: 4-Jan-2019
  • (2018)System Design in the Era of IoT — Meeting the Autonomy ChallengeElectronic Proceedings in Theoretical Computer Science10.4204/EPTCS.272.1272(1-22)Online publication date: 25-Jun-2018
  • (2018)Fine and coarse grained composition and adaptation of spark applicationsFuture Generation Computer Systems10.1016/j.future.2018.04.04886(629-640)Online publication date: Sep-2018
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Published In

cover image ACM Conferences
EMSOFT '05: Proceedings of the 5th ACM international conference on Embedded software
September 2005
390 pages
ISBN:1595930914
DOI:10.1145/1086228
  • Conference Chair:
  • Wayne Wolf
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 18 September 2005

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Author Tags

  1. control
  2. fine grain
  3. multimedia
  4. optimality
  5. real-time
  6. safety

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Overall Acceptance Rate 60 of 203 submissions, 30%

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Cited By

View all
  • (2019)Performance evaluation of a new scheduling algorithm for distributed systems with security heterogeneityJournal of Parallel and Distributed Computing10.1016/j.jpdc.2007.06.00467:10(1067-1081)Online publication date: 4-Jan-2019
  • (2018)System Design in the Era of IoT — Meeting the Autonomy ChallengeElectronic Proceedings in Theoretical Computer Science10.4204/EPTCS.272.1272(1-22)Online publication date: 25-Jun-2018
  • (2018)Fine and coarse grained composition and adaptation of spark applicationsFuture Generation Computer Systems10.1016/j.future.2018.04.04886(629-640)Online publication date: Sep-2018
  • (2018)Symbolic quality control for multimedia applicationsReal-Time Systems10.1007/s11241-008-9049-240:1(1-43)Online publication date: 28-Dec-2018
  • (2017)Near-optimal deployment of dataflow applications on many-core platforms with real-time guaranteesProceedings of the Conference on Design, Automation & Test in Europe10.5555/3130379.3130562(752-757)Online publication date: 27-Mar-2017
  • (2017)Near-optimal deployment of dataflow applications on many-core platforms with real-time guaranteesDesign, Automation & Test in Europe Conference & Exhibition (DATE), 201710.23919/DATE.2017.7927090(752-757)Online publication date: Mar-2017
  • (2010)Compilation and virtualization in the HiPEAC visionProceedings of the 47th Design Automation Conference10.1145/1837274.1837302(96-101)Online publication date: 13-Jun-2010
  • (2008)Using neural networks for quality management2008 IEEE International Conference on Emerging Technologies and Factory Automation10.1109/ETFA.2008.4638586(1441-1448)Online publication date: Sep-2008
  • (2008)A stochastic approach for fine grain QoS control2008 IEEE/ACM/IFIP Workshop on Embedded Systems for Real-Time Multimedia10.1109/ESTMED.2008.4697008(115-120)Online publication date: Oct-2008
  • (2007)Using Speed Diagrams for Symbolic Quality Management2007 IEEE International Parallel and Distributed Processing Symposium10.1109/IPDPS.2007.370341(1-8)Online publication date: Mar-2007
  • Show More Cited By

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