Perspectives on Resilience in Cloud Computing: Review and Trends

Welsh, Thomas; Benkhelifa, Elhadj

doi:10.1109/aiccsa.2017.221

Cited by 7 publications

(5 citation statements)

References 33 publications

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“…Due to the novelty of this area, surveys in resilience are limited, this work extends our previous survey in [125], which lacks the detailed analysis according to techniques and disciplines presented here, in addition to the further analysis of the decentralised cloud. Moreover, this work compliments our previous survey on intrusion detection for resilient IoT [17], which is out of the scope of this paper.…”

Section: Related Work In Cloud Resiliencementioning

confidence: 97%

On Resilience in Cloud Computing

Welsh

Benkhelifa

2020

ACM Comput. Surv.

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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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Section: Related Work In Cloud Resiliencementioning

confidence: 97%

On Resilience in Cloud Computing

Welsh

Benkhelifa

2020

ACM Comput. Surv.

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“…Predation avoidance is speculatively viewed as an exploitable mechanism to enable survivability in cyberspace. Previous works by [87]; [88] [89] provide comprehensive reviews that contribute towards the unconventional context of the current section.…”

Section: Enhancing Cyber Security Using Artificial Intelligencementioning

confidence: 99%

A Bio-inspired Approach To Cyber Security

Mthunzi¹,

Benkhelifa²,

Bosakowski³

et al. 2019

Machine Learning for Computer and Cyber Security

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Owing to a growing reliance on information, technology and connectivity, Cyberspace has become the lifeline and interactive place for modern life. As such, Cyber security challenges are a global phenomenon whose adverse implications are catastrophic. Cyberspace is complex and unpredictable; its global connectedness and an explosion of data increases the threat surface as cyber infrastructures become highly complex and dynamic. Managing, i.e. ensuring and assuring security in cyberspace requires inspiration from advanced complex systems. Through evolution, nature has developed natural propensities in complex systems (including animalia and plants) that enable survival through adaptation. Predation-avoidance and anti-predation techniques employed by non-extinct preys could be exploited/adopted as mechanisms for adaptation through their application in Cyber security. This chapter presents an overall review of the current state of the Cyber security landscape. In addition, it demonstrates through further review, significant trends towards bio-inspired approaches as unconventional solutions to problems in other fields. Drawing from survivable preys in nature, the chapter speculates solutions for Cyberspace and Cyber security as follows; given an old problem (Pold) with an old solutions (Sold), a new problem (Pnew) Computer and Cyber Security: Principles, Algorithm, Applications and Perspectives can be conceptualized with new partial and perhaps null solutions (Snew) in the solutions space Sold to Snew.

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“…Cloud has been widely used in different aspects and it brings convenience for many enterprises [1]. Cloud computing takes infrastructure, platform, and software as services and supports a pay-as-you-go model for geographically distributed consumers [2].…”

Section: Introductionmentioning

confidence: 99%

“…The originality and novelty of this work is emphasized by the following contributions: 1) We give a MPT model supporting time-slice under the Cloud environment; 2) We give the reference parallelism from the system load; 3) We propose a schedule method for the MPTs based on the time-slice based on the reference parallelism; 4) Comparisons are given to test our method to check the performance in average waiting time, average execution time, and percentages of unfinished tasks. The rest of the paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

A Scheduling Method of Moldable Parallel Tasks Considering Speedup and System Load on the Cloud

Zhang

2019

IEEE Access

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The moldable parallel task (MPT) is a kind of parallel task that their sub-tasks hold the resources exclusively, which has been widely used in different areas. Our paper focuses on the scheduling of moldable tasks when every sub-task supports time-slice. The time-slice is a consecutive time that the sub-task holds the resources exclusively. After every time-slice, the sub-task can be canceled, suspended, or continued. We give the model of MPTs and propose a scheduling method for MPTs: MC (a heuristic scheduling method supporting time-slice model on the cloud). The simulation results show that, even under a forecast accuracy of system load under 90% and 95%, MC reduces average waiting time and average execution time; at the same time, MC has a lower value in the percentages of unfinished tasks. INDEX TERMS Moldable parallel task, speedup, parallelism, scheduling method.

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Perspectives on Resilience in Cloud Computing: Review and Trends

Cited by 7 publications

References 33 publications

On Resilience in Cloud Computing

On Resilience in Cloud Computing

A Bio-inspired Approach To Cyber Security

A Scheduling Method of Moldable Parallel Tasks Considering Speedup and System Load on the Cloud

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