云计算的主动自愈技术:系统综述

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Concurrency and Computation-Practice & Experience Pub Date : 2024-08-19 DOI:10.1002/cpe.8246
Seyed Reza Rouholamini, Meghdad Mirabi, Razieh Farazkish, Amir Sahafi
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引用次数: 0

摘要

确保云计算服务的无缝运行对于满足用户需求和确保业务连续性至关重要。容错自修复技术在提高云平台的可靠性和可用性、减少停机时间和确保不间断服务交付方面发挥着至关重要的作用。本文对 2005 年至 2024 年间发表的有关容错自愈技术的现有研究进行了系统的分类和分析。我们提供了一个全面的技术分类法,以容错流程为基础组织自修复技术,包括对可靠性和可用性的考虑。此外,我们还对主动自修复技术的应用进行了评估,强调了这些技术在提高服务连续性方面的成就和局限性。文章还讨论了解决已发现弱点的策略,以及云弹性领域未来的研究挑战和开放性问题。通过分析,文章有助于理解云计算中的自修复技术,深入了解这些技术在确保服务连续性方面的有效性。研究结果旨在指导未来的研究工作,开发更稳健、更具弹性的云基础设施,最终提高整体服务的可靠性和可用性。通过强调容错和自愈技术的重要性,本文为推动云计算技术的发展奠定了基础。
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Proactive self-healing techniques for cloud computing: A systematic review

Ensuring the seamless operation of cloud computing services is paramount for meeting user demands and ensuring business continuity. Fault-tolerant self-healing techniques play a crucial role in enhancing the reliability and availability of cloud platforms, minimizing downtime and ensuring uninterrupted service delivery. This article systematically categorizes and analyzes existing research on fault-tolerant self-healing techniques published between 2005 and 2024. We provide a comprehensive technical taxonomy organizing self-healing techniques based on fault tolerance processes, encompassing considerations for both reliability and availability. Additionally, we evaluate applications of proactive self-healing techniques, highlighting their achievements, and limitations in enhancing service continuity. Strategies to address identified weaknesses are discussed, alongside future research challenges and open issues in the domain of cloud resilience. Through this analysis, the article contributes to understanding self-healing techniques in cloud computing, offering insights into their effectiveness in ensuring service continuity. The findings aim to guide future research efforts in developing more robust and resilient cloud infrastructures, ultimately enhancing overall service reliability and availability. By emphasizing the importance of fault tolerance and self-healing techniques, this article lays the foundation for advancing the state-of-the-art in cloud computing.

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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
期刊最新文献
Issue Information Improving QoS in cloud resources scheduling using dynamic clustering algorithm and SM-CDC scheduling model Issue Information Issue Information Camellia oleifera trunks detection and identification based on improved YOLOv7
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