Creating On-Demand Service-Oriented Applications from Intentions Model

Thar Baker; Azzelarabe Taleb-Bendiab; Dhiya Al-Jumeily; Philip Miseldine

doi:10.1109/dese.2009.40

Creating On-Demand Service-Oriented Applications from Intentions Model

Thar Baker, Azzelarabe Taleb-Bendiab, Dhiya Al-Jumeily, Philip Miseldine

School of Arch, Tech and Eng

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

The recent years have seen a flurry of research inspired by social and biological models to achieve the software autonomy. This has been prompted by the need to automate laborious administration tasks, recovery from unanticipated systems failure, and provide self-protection from security vulnerabilities, whilst guaranteeing predictable autonomic software behavior. However, runtime assured adaptation of software to new requirement is still an outstanding issue for research. This paper presents a supporting language for process-oriented programming of autonomic software. The paper starts by a review of the state-of-the-art into runtime software adaptation. This is followed by an outline of a developed Neptune framework and language support, which is here described via an illustrative example pet shop benchmark. The paper ends with a discussion and some concluding remarks leading to suggested further works.

Original language	English
Title of host publication	2009 Second International Conference on Developments in eSystems Engineering
DOIs	https://doi.org/10.1109/dese.2009.40
Publication status	Published - 2009

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title = "Creating On-Demand Service-Oriented Applications from Intentions Model",

abstract = "The recent years have seen a flurry of research inspired by social and biological models to achieve the software autonomy. This has been prompted by the need to automate laborious administration tasks, recovery from unanticipated systems failure, and provide self-protection from security vulnerabilities, whilst guaranteeing predictable autonomic software behavior. However, runtime assured adaptation of software to new requirement is still an outstanding issue for research. This paper presents a supporting language for process-oriented programming of autonomic software. The paper starts by a review of the state-of-the-art into runtime software adaptation. This is followed by an outline of a developed Neptune framework and language support, which is here described via an illustrative example pet shop benchmark. The paper ends with a discussion and some concluding remarks leading to suggested further works.",

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AU - Al-Jumeily, Dhiya

AU - Miseldine, Philip

PY - 2009

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AB - The recent years have seen a flurry of research inspired by social and biological models to achieve the software autonomy. This has been prompted by the need to automate laborious administration tasks, recovery from unanticipated systems failure, and provide self-protection from security vulnerabilities, whilst guaranteeing predictable autonomic software behavior. However, runtime assured adaptation of software to new requirement is still an outstanding issue for research. This paper presents a supporting language for process-oriented programming of autonomic software. The paper starts by a review of the state-of-the-art into runtime software adaptation. This is followed by an outline of a developed Neptune framework and language support, which is here described via an illustrative example pet shop benchmark. The paper ends with a discussion and some concluding remarks leading to suggested further works.

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M3 - Conference contribution with ISSN or ISBN

SN - 9781424454013

BT - 2009 Second International Conference on Developments in eSystems Engineering

ER -

Creating On-Demand Service-Oriented Applications from Intentions Model

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