A taxonomy and survey of cloud resource orchestration techniques

Denis Weerasiri; Moshe Chai Barukh; Boualem Benatallah; Quan Z. Sheng; Rajiv Ranjan

doi:10.1145/3054177

A taxonomy and survey of cloud resource orchestration techniques

Denis Weerasiri^*, Moshe Chai Barukh, Boualem Benatallah, Quan Z. Sheng, Rajiv Ranjan

^*Corresponding author for this work

School of Computing

Research output: Contribution to journal › Review article › peer-review

80 Citations (Scopus)

Abstract

Cloud services and applications prove indispensable amid today's modern utility-based computing. The cloud has displayed a disruptive and growing impact on everyday computing tasks. However, facilitating the orchestration of cloud resources to build such cloud services and applications is yet to unleash its entire magnitude of power. Accordingly, it is paramount to devise a unified and comprehensive analysis framework to accelerate fundamental understanding of cloud resource orchestration in terms of concepts, paradigms, languages, models, and tools. This framework is essential to empower effective research, comprehension, comparison, and selection of cloud resource orchestrationmodels, languages, platforms, and tools. This article provides such a comprehensive framework while analyzing the relevant state of the art in cloud resource orchestration from a novel and holistic viewpoint.

Original language	English
Article number	26
Pages (from-to)	1-41
Number of pages	41
Journal	ACM Computing Surveys
Volume	50
Issue number	2
DOIs	https://doi.org/10.1145/3054177
Publication status	Published - 1 May 2017

Keywords

Cloud computing
resource orchestration
Service oriented architectures

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AU - Ranjan, Rajiv

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AB - Cloud services and applications prove indispensable amid today's modern utility-based computing. The cloud has displayed a disruptive and growing impact on everyday computing tasks. However, facilitating the orchestration of cloud resources to build such cloud services and applications is yet to unleash its entire magnitude of power. Accordingly, it is paramount to devise a unified and comprehensive analysis framework to accelerate fundamental understanding of cloud resource orchestration in terms of concepts, paradigms, languages, models, and tools. This framework is essential to empower effective research, comprehension, comparison, and selection of cloud resource orchestrationmodels, languages, platforms, and tools. This article provides such a comprehensive framework while analyzing the relevant state of the art in cloud resource orchestration from a novel and holistic viewpoint.

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A taxonomy and survey of cloud resource orchestration techniques

Abstract

Keywords

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