Article

Mobile adaptive tasks guided by resource contracts

Authors:

Peter Rigole,

Yolande Berbers,

Tom HolvoetAuthors Info & Claims

MPAC '04: Proceedings of the 2nd workshop on Middleware for pervasive and ad-hoc computing

Pages 117 - 120

https://doi.org/10.1145/1028509.1028512

Published: 18 October 2004 Publication History

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Abstract

This paper proposes a way to realize the idea of calm computing by adding a dynamic task model into the pervasive computing environment. This task model contains information about the actions to undertake to help a user realize his daily tasks. The task model's mapping onto a deployment plan guides an internal adaptation mechanism, which helps applications to evolve without causing user distraction. In addition, a foraging technique (relocation) is proposed that allows for expanding an application's computing space automatically whenever possible. This technique involves external adaptation mechanisms. Both adaptation mechanisms are driven by resource information and resource contracts that are negotiated between the middleware and the application components. This allows the middleware to do the adaptations automatically, realizing the idea of calm computing.

References

[1]

Mark Weiser. The computer for the twenty-first century. Scientific American, pages 94--10, Sept 1991.

Google Scholar

[2]

David Garlan, Dan Siewiorek, Asim Smailagic, and Peter Steenkiste. Project aura: Toward distraction-free pervasive computing. IEEE Pervasive computing, 1(2):22--31, April-June 2002.

Digital Library

Google Scholar

[3]

Jan Van den Bergh and Karin Coninx. Contextual concurtasktrees: Integrating dynamic contexts in task based design. In Second IEEE Conference on Pervasive Computing and Communications Workshops, pages 13--17, Orlando, USA, 14 Mar 2004.

Digital Library

Google Scholar

[4]

Vanegas R, Zinky JA, and Loyall JP. Quo's runtime support for quality of service in distributed objects. In Proceedings of the IFIP International Conference on Distributed Systems Platforms and Open Distributed Processing, The Lake District, England, Sept 1998.

Digital Library

Google Scholar

[5]

Loyall JP, Schantz RE, Zinky JA, and Bakken DE. Specifying and measuring quality of service in distributed object systems. In Proceedings of the First International Symposium on Object-Oriented Real-Time Distributed Computing, Kyoto, Japan, 20-22 Apr 1998.

Digital Library

Google Scholar

[6]

David Pierre-Charles and Thomas Ledoux. Towards a framework for self-adaptive component-based applications. In Proceedings DAIS'04, volume 2893 of LNCS, pages 1--14, Paris, France, Nov 19-21 2003.

Google Scholar

[7]

Greg J. Badros, Alan Borning, and Peter J. Stuckey. The cassowary linear arithmetic constraint solving algorithm. ACM Transactions on Computer Human Interaction, 8(4):267--306, December 2001.

Digital Library

Google Scholar

[8]

Zhenyu Wang and David Garlan. Task-driven computing. Technical Report CMU-CS-00-154, School of Computer Science, CMU, Pittsburgh, USA, May 2000.

Google Scholar

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Park YKoo HKo I(2019)A task-based and resource-aware approach to dynamically generate optimal software architecture for intelligent service robotsSoftware—Practice & Experience10.1002/spe.107442:5(519-541)Online publication date: 4-Jan-2019
https://dl.acm.org/doi/10.1002/spe.1074
Rigole PClerckx TBerbers YConinx K(2018)Task-driven automated component deployment for ambient intelligence environmentsPervasive and Mobile Computing10.1016/j.pmcj.2007.01.0013:3(276-299)Online publication date: 24-Dec-2018
https://dl.acm.org/doi/10.1016/j.pmcj.2007.01.001
Shibin DKathrine G(2017)A comprehensive overview on secure offloading in mobile cloud computing2017 4th International Conference on Electronics and Communication Systems (ICECS)10.1109/ECS.2017.8067851(121-124)Online publication date: Feb-2017
https://doi.org/10.1109/ECS.2017.8067851
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Mobile adaptive tasks guided by resource contracts
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics

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Published In

MPAC '04: Proceedings of the 2nd workshop on Middleware for pervasive and ad-hoc computing

October 2004

77 pages

ISBN:1581139519

DOI:10.1145/1028509

Conference Chair:
Paddy Nixon,
General Chair:
Fabio Kon
Sao Paulo

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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Association for Computing Machinery

New York, NY, United States

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Published: 18 October 2004

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Park YKoo HKo I(2019)A task-based and resource-aware approach to dynamically generate optimal software architecture for intelligent service robotsSoftware—Practice & Experience10.1002/spe.107442:5(519-541)Online publication date: 4-Jan-2019
https://dl.acm.org/doi/10.1002/spe.1074
Rigole PClerckx TBerbers YConinx K(2018)Task-driven automated component deployment for ambient intelligence environmentsPervasive and Mobile Computing10.1016/j.pmcj.2007.01.0013:3(276-299)Online publication date: 24-Dec-2018
https://dl.acm.org/doi/10.1016/j.pmcj.2007.01.001
Shibin DKathrine G(2017)A comprehensive overview on secure offloading in mobile cloud computing2017 4th International Conference on Electronics and Communication Systems (ICECS)10.1109/ECS.2017.8067851(121-124)Online publication date: Feb-2017
https://doi.org/10.1109/ECS.2017.8067851
Kumar KLiu JLu YBhargava B(2013)A Survey of Computation Offloading for Mobile SystemsMobile Networks and Applications10.1007/s11036-012-0368-018:1(129-140)Online publication date: 1-Feb-2013
https://dl.acm.org/doi/10.1007/s11036-012-0368-0
Kang PHeffner MMukherjee JRamakrishnan NVaradarajan SRibbens CTafti D(2007)The Adaptive Code Kitchen: Flexible Tools for Dynamic Application Composition2007 IEEE International Parallel and Distributed Processing Symposium10.1109/IPDPS.2007.370493(1-8)Online publication date: Mar-2007
https://doi.org/10.1109/IPDPS.2007.370493
Mukherjee JVaradarajan SCerqueira RWang N(2005)Develop once deploy anywhere achieving adaptivity with a runtime linker/loader frameworkProceedings of the 4th workshop on Reflective and adaptive middleware systems10.1145/1101516.1101517Online publication date: 28-Nov-2005
https://dl.acm.org/doi/10.1145/1101516.1101517
Preuveneers DBerbers Y(2005)Adaptive context management using a component-based approachProceedings of the 5th IFIP WG 6.1 international conference on Distributed Applications and Interoperable Systems10.1007/11498094_2(14-26)Online publication date: 15-Jun-2005
https://dl.acm.org/doi/10.1007/11498094_2

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3PC: System support for adaptive peer-to-peer pervasive computing

A framework for resource discovery in pervasive computing for mobile aware task execution

Dynamic Context-Aware Service Adaptation in a Pervasive Computing System

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