Emergent Failures : Rethinking Cloud Reliability at Scale

Garraghan, Peter and Yang, Renyu and Wen, Zhenyu and Romanovsky, Alexander and Xu, Jie and Buyya, Rajkumar and Ranjan, Rajiv (2018) Emergent Failures : Rethinking Cloud Reliability at Scale. IEEE Cloud Computing, 5 (5). pp. 12-21. ISSN 2325-6095

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Since the conception of cloud computing, ensuring its ability to provide highly reliable service has been of the upmost importance and criticality to the business objectives of providers and their customers. This has held true for every facet of the system, encompassing applications, resource management, the underlying computing infrastructure, and environmental cooling. Thus, the cloud-computing and dependability research communities have exerted considerable effort toward enhancing the reliability of system components against various software and hardware failures. However, as these systems have continued to grow in scale, with heterogeneity and complexity resulting in the manifestation of emergent behavior, so too have their respective failures. Recent studies of production cloud datacenters indicate the existence of complex failure manifestations that existing fault tolerance and recovery strategies are ill-equipped to effectively handle. These strategies can even be responsible for such failures. These emergent failures-frequently transient and identifiable only at runtime-represent a significant threat to designing reliable cloud systems. This article identifies the challenges of emergent failures in cloud datacenters at scale and their impact on system resource management, and discusses potential directions of further study for Internet of Things integration and holistic fault tolerance.

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Journal Article
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IEEE Cloud Computing
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?? computer science (miscellaneous)softwarecomputer science applicationscomputer networks and communications ??
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25 Oct 2018 15:30
Last Modified:
12 Apr 2024 00:34