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A resource-aware framework for resource-constrained service-oriented systems

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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A resource-aware framework for resource-constrained service-oriented systems. / Newman, Peter; Kotonya, Gerald.
In: Future Generation Computer Systems, Vol. 47, 30.06.2015, p. 161-175.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Newman, P & Kotonya, G 2015, 'A resource-aware framework for resource-constrained service-oriented systems', Future Generation Computer Systems, vol. 47, pp. 161-175. https://doi.org/10.1016/j.future.2014.09.010

APA

Newman, P., & Kotonya, G. (2015). A resource-aware framework for resource-constrained service-oriented systems. Future Generation Computer Systems, 47, 161-175. https://doi.org/10.1016/j.future.2014.09.010

Vancouver

Newman P, Kotonya G. A resource-aware framework for resource-constrained service-oriented systems. Future Generation Computer Systems. 2015 Jun 30;47:161-175. Epub 2014 Oct 16. doi: 10.1016/j.future.2014.09.010

Author

Newman, Peter ; Kotonya, Gerald. / A resource-aware framework for resource-constrained service-oriented systems. In: Future Generation Computer Systems. 2015 ; Vol. 47. pp. 161-175.

Bibtex

@article{062dff04325149b4b78993d440a225fc,
title = "A resource-aware framework for resource-constrained service-oriented systems",
abstract = "As embedded systems become increasingly complex, not only are dependability and timeliness critical quality indicators, but also their ability to dynamically adapt to changes in their runtime environment. Service-oriented Architecture (SOA) offers a potential solution to this challenge by allowing services to be dynamically bound at runtime. However, resource contention between services and resource saturation can result in significant Quality of Service (QoS) degradation. To address these issues, this paper proposes a runtime, resource-aware architecture that combines resource monitoring with dynamic workflow orchestration to mediate resource contention within the orchestration environment. The architecture was evaluated on a medium-size service-oriented case study, deployed on a resource-constrained device.",
keywords = "Embedded, Service-oriented, Emergent properties, Runtime architecture, Quality assurance",
author = "Peter Newman and Gerald Kotonya",
year = "2015",
month = jun,
day = "30",
doi = "10.1016/j.future.2014.09.010",
language = "English",
volume = "47",
pages = "161--175",
journal = "Future Generation Computer Systems",
issn = "0167-739X",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A resource-aware framework for resource-constrained service-oriented systems

AU - Newman, Peter

AU - Kotonya, Gerald

PY - 2015/6/30

Y1 - 2015/6/30

N2 - As embedded systems become increasingly complex, not only are dependability and timeliness critical quality indicators, but also their ability to dynamically adapt to changes in their runtime environment. Service-oriented Architecture (SOA) offers a potential solution to this challenge by allowing services to be dynamically bound at runtime. However, resource contention between services and resource saturation can result in significant Quality of Service (QoS) degradation. To address these issues, this paper proposes a runtime, resource-aware architecture that combines resource monitoring with dynamic workflow orchestration to mediate resource contention within the orchestration environment. The architecture was evaluated on a medium-size service-oriented case study, deployed on a resource-constrained device.

AB - As embedded systems become increasingly complex, not only are dependability and timeliness critical quality indicators, but also their ability to dynamically adapt to changes in their runtime environment. Service-oriented Architecture (SOA) offers a potential solution to this challenge by allowing services to be dynamically bound at runtime. However, resource contention between services and resource saturation can result in significant Quality of Service (QoS) degradation. To address these issues, this paper proposes a runtime, resource-aware architecture that combines resource monitoring with dynamic workflow orchestration to mediate resource contention within the orchestration environment. The architecture was evaluated on a medium-size service-oriented case study, deployed on a resource-constrained device.

KW - Embedded

KW - Service-oriented

KW - Emergent properties

KW - Runtime architecture

KW - Quality assurance

U2 - 10.1016/j.future.2014.09.010

DO - 10.1016/j.future.2014.09.010

M3 - Journal article

VL - 47

SP - 161

EP - 175

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

SN - 0167-739X

ER -