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On Resilience in Cloud Computing: A Survey of Techniques across the Cloud Domain

Authors:

Elhadj BenkhelifaAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 53, Issue 3

Article No.: 59, Pages 1 - 36

https://doi.org/10.1145/3388922

Published: 28 May 2020 Publication History

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Abstract

Cloud infrastructures are highly favoured as a computing delivery model worldwide, creating a strong societal dependence. It is therefore vital to enhance their resilience, providing persistent service delivery under a variety of conditions. Cloud environments are highly complex and continuously evolving. Additionally, the plethora of use-cases ensures requirements for persistent service delivery vary. As a contribution to knowledge, this work surveys resilience techniques for cloud environments. We apply a novel perspective using a layered model of traditional and emerging cloud paradigms. Works are then classified according to the Resilinets model. For each layer, the most common techniques with limitations are derived including an actor’s strength in influencing resilience in the cloud with each technique. We conclude with some future challenges to the field of resilient cloud computing.

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Cited By

Rodríguez ADiaconescu ARodríguez JGómez J(2025)Correlating node centrality metrics with node resilience in self-healing systems with limited neighbourhood informationFuture Generation Computer Systems10.1016/j.future.2024.107553163(107553)Online publication date: Feb-2025
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On Resilience in Cloud Computing: A Survey of Techniques across the Cloud Domain

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 53, Issue 3

May 2021

787 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3403423

Editor:
Albert Zomaya
University of Sydney, Australia

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Publication History

Published: 28 May 2020

Online AM: 07 May 2020

Accepted: 01 March 2020

Revised: 01 February 2020

Received: 01 September 2019

Published in CSUR Volume 53, Issue 3

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Dalal ESingh P(2024)TextRefine: A Novel approach to improve the accuracy of LLM ModelsData and Metadata10.56294/dm20243313(331)Online publication date: 20-May-2024
https://doi.org/10.56294/dm2024331
Batista ADos Santos A(2024)A Survey on Resilience in Information Sharing on Networks: Taxonomy and Applied TechniquesACM Computing Surveys10.1145/365994456:12(1-36)Online publication date: 20-Apr-2024
https://dl.acm.org/doi/10.1145/3659944
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Zhou GTian WBuyya RXue RSong L(2024)Deep reinforcement learning-based methods for resource scheduling in cloud computing: a review and future directionsArtificial Intelligence Review10.1007/s10462-024-10756-957:5Online publication date: 23-Apr-2024
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