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Reusing Transaction Models for Dependable Cloud Computing
Gallina, Barbara; Guelfi, Nicolas
2011In Xiaodong, Yang Hongji (Ed.) Software Reuse in the Emerging Cloud Computing Era
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Abstract :
[en] Cloud computing represents a technological change in computing. Despite the technological change, however, the quality of the computation, in particular its dependability, keeps on being a fundamental requirement. To ensure dependability, more specifically reliability, transaction models represent an effective means. In the literature, several transaction models exist. Choosing (reusing entirely) or introducing (reusing partially) transaction models for cloud computing is not an easy task. The difficulty of this task is due to the fact that it requires a deep understanding of the properties that characterize transaction models to be able to discriminate reusable from non reusable properties with respect to cloud computing characteristics. To ease this task, the PRISMA process is introduced. PRISMA is a Process for Requirements Identification, Specification and Machine-supported Analysis that targets transaction models. PRISMA is then applied to engineer reusable requirements suitable for the achievement of the adequate transaction models for cloud computing.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CHAPTER-2011-216
Author, co-author :
Gallina, Barbara ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Guelfi, Nicolas ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
no
Language :
English
Title :
Reusing Transaction Models for Dependable Cloud Computing
Publication date :
2011
Main work title :
Software Reuse in the Emerging Cloud Computing Era
Editor :
Xiaodong, Yang Hongji
Publisher :
IGI Global
Collection name :
IGI Global Research Handbook
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 22 March 2017

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