Autonomy requirements engineering for self-adaptive science clouds

Emil Vassev; Mike Hinchey

doi:10.1109/IPDPSW.2014.151

Autonomy requirements engineering for self-adaptive science clouds

Emil Vassev, Mike Hinchey

Department of Computer Science & Information Systems

University of Limerick

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Self-adaptive clouds extend upstream the regular cloud platforms with special autonomy features dedicated to handling increasing workload and service failures. The identification of such features is not necessarily an easy task. Sometimes those can be explicitly stated by QoS requirements or in preliminary material available to requirements engineers. Often though, they are implicit so that autonomy features capturing has to be undertaken. This paper elaborates on a methodology of capturing autonomy requirements for self-adaptive clouds with ARE, the Autonomy Requirements Engineering approach. In this approach, autonomy features are detected as special self-∗ objectives backed up by different capabilities and quality characteristics.

Original language	English
Title of host publication	Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014
Publisher	IEEE Computer Society
Pages	1344-1353
Number of pages	10
ISBN (Electronic)	9780769552088
DOIs	https://doi.org/10.1109/IPDPSW.2014.151
Publication status	Published - 27 Nov 2014
Event	28th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014 - Phoenix, United States Duration: 19 May 2014 → 23 May 2014

Publication series

Name	Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014

Conference

Conference	28th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014
Country/Territory	United States
City	Phoenix
Period	19/05/14 → 23/05/14

Keywords

Autonomic systems
Autonomy requirements
Self-adaptive clouds

Access to Document

10.1109/IPDPSW.2014.151

Cite this

Vassev, E., & Hinchey, M. (2014). Autonomy requirements engineering for self-adaptive science clouds. In Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014 (pp. 1344-1353). Article 6969535 (Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014). IEEE Computer Society. https://doi.org/10.1109/IPDPSW.2014.151

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title = "Autonomy requirements engineering for self-adaptive science clouds",

abstract = "Self-adaptive clouds extend upstream the regular cloud platforms with special autonomy features dedicated to handling increasing workload and service failures. The identification of such features is not necessarily an easy task. Sometimes those can be explicitly stated by QoS requirements or in preliminary material available to requirements engineers. Often though, they are implicit so that autonomy features capturing has to be undertaken. This paper elaborates on a methodology of capturing autonomy requirements for self-adaptive clouds with ARE, the Autonomy Requirements Engineering approach. In this approach, autonomy features are detected as special self-∗ objectives backed up by different capabilities and quality characteristics.",

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author = "Emil Vassev and Mike Hinchey",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 28th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014 ; Conference date: 19-05-2014 Through 23-05-2014",

year = "2014",

month = nov,

day = "27",

doi = "10.1109/IPDPSW.2014.151",

language = "English",

series = "Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014",

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Vassev, E & Hinchey, M 2014, Autonomy requirements engineering for self-adaptive science clouds. in Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014., 6969535, Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014, IEEE Computer Society, pp. 1344-1353, 28th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014, Phoenix, United States, 19/05/14. https://doi.org/10.1109/IPDPSW.2014.151

Autonomy requirements engineering for self-adaptive science clouds. / Vassev, Emil; Hinchey, Mike.
Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014. IEEE Computer Society, 2014. p. 1344-1353 6969535 (Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Self-adaptive clouds extend upstream the regular cloud platforms with special autonomy features dedicated to handling increasing workload and service failures. The identification of such features is not necessarily an easy task. Sometimes those can be explicitly stated by QoS requirements or in preliminary material available to requirements engineers. Often though, they are implicit so that autonomy features capturing has to be undertaken. This paper elaborates on a methodology of capturing autonomy requirements for self-adaptive clouds with ARE, the Autonomy Requirements Engineering approach. In this approach, autonomy features are detected as special self-∗ objectives backed up by different capabilities and quality characteristics.

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Vassev E, Hinchey M. Autonomy requirements engineering for self-adaptive science clouds. In Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014. IEEE Computer Society. 2014. p. 1344-1353. 6969535. (Proceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014). doi: 10.1109/IPDPSW.2014.151

Autonomy requirements engineering for self-adaptive science clouds

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