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Managing Resource Contention in Embedded Service-Oriented Systems with Dynamic Orchestration

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Managing Resource Contention in Embedded Service-Oriented Systems with Dynamic Orchestration. / Newman, Peter; Kotonya, Gerald.
ICSOC 2012 10th International Conference on Service Oriented Computing Proceeding. Springer-Verlag, 2012. p. 435-449 (Springer LNCS ICSOC; Vol. 7635).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Newman, P & Kotonya, G 2012, Managing Resource Contention in Embedded Service-Oriented Systems with Dynamic Orchestration. in ICSOC 2012 10th International Conference on Service Oriented Computing Proceeding. Springer LNCS ICSOC, vol. 7635, Springer-Verlag, pp. 435-449.

APA

Newman, P., & Kotonya, G. (2012). Managing Resource Contention in Embedded Service-Oriented Systems with Dynamic Orchestration. In ICSOC 2012 10th International Conference on Service Oriented Computing Proceeding (pp. 435-449). (Springer LNCS ICSOC; Vol. 7635). Springer-Verlag,.

Vancouver

Newman P, Kotonya G. Managing Resource Contention in Embedded Service-Oriented Systems with Dynamic Orchestration. In ICSOC 2012 10th International Conference on Service Oriented Computing Proceeding. Springer-Verlag,. 2012. p. 435-449. (Springer LNCS ICSOC).

Author

Newman, Peter ; Kotonya, Gerald. / Managing Resource Contention in Embedded Service-Oriented Systems with Dynamic Orchestration. ICSOC 2012 10th International Conference on Service Oriented Computing Proceeding. Springer-Verlag, 2012. pp. 435-449 (Springer LNCS ICSOC).

Bibtex

@inproceedings{cc9d400581174c4a9b676adad2bcf0c7,
title = "Managing Resource Contention in Embedded Service-Oriented Systems with Dynamic Orchestration",
abstract = "As embedded systems become increasingly complex, not only are dependability and timeliness indicators of success, but also the ability to dynamically adapt to changes in the runtime environment. Typically, they operate in resource-constrained environments and often find application in isolated locations, making them expensive to manage with small resource changes in their operating environment having a significant impact on system quality. The service-oriented model of deployment offers a possible solution to these challenges; however, resource contention between services and resource saturation can result in significant Quality of Service (QoS) degradation. This emergent QoS is difficult to anticipate before deployment as changes in QoS are often dynamic. This paper presents EQoSystem, a runtime, resource-aware framework that combines monitoring with dynamic workflow orchestration to mediate resource contention within the orchestration environment. The results from a medium-sized case study demonstrate the efficacy of EQoSystem. ",
author = "Peter Newman and Gerald Kotonya",
year = "2012",
month = dec,
language = "English",
series = "Springer LNCS ICSOC",
publisher = "Springer-Verlag,",
pages = "435--449",
booktitle = "ICSOC 2012 10th International Conference on Service Oriented Computing Proceeding",

}

RIS

TY - GEN

T1 - Managing Resource Contention in Embedded Service-Oriented Systems with Dynamic Orchestration

AU - Newman, Peter

AU - Kotonya, Gerald

PY - 2012/12

Y1 - 2012/12

N2 - As embedded systems become increasingly complex, not only are dependability and timeliness indicators of success, but also the ability to dynamically adapt to changes in the runtime environment. Typically, they operate in resource-constrained environments and often find application in isolated locations, making them expensive to manage with small resource changes in their operating environment having a significant impact on system quality. The service-oriented model of deployment offers a possible solution to these challenges; however, resource contention between services and resource saturation can result in significant Quality of Service (QoS) degradation. This emergent QoS is difficult to anticipate before deployment as changes in QoS are often dynamic. This paper presents EQoSystem, a runtime, resource-aware framework that combines monitoring with dynamic workflow orchestration to mediate resource contention within the orchestration environment. The results from a medium-sized case study demonstrate the efficacy of EQoSystem.

AB - As embedded systems become increasingly complex, not only are dependability and timeliness indicators of success, but also the ability to dynamically adapt to changes in the runtime environment. Typically, they operate in resource-constrained environments and often find application in isolated locations, making them expensive to manage with small resource changes in their operating environment having a significant impact on system quality. The service-oriented model of deployment offers a possible solution to these challenges; however, resource contention between services and resource saturation can result in significant Quality of Service (QoS) degradation. This emergent QoS is difficult to anticipate before deployment as changes in QoS are often dynamic. This paper presents EQoSystem, a runtime, resource-aware framework that combines monitoring with dynamic workflow orchestration to mediate resource contention within the orchestration environment. The results from a medium-sized case study demonstrate the efficacy of EQoSystem.

M3 - Conference contribution/Paper

T3 - Springer LNCS ICSOC

SP - 435

EP - 449

BT - ICSOC 2012 10th International Conference on Service Oriented Computing Proceeding

PB - Springer-Verlag,

ER -