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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Abstract

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.

Item Type: Journal Article
Journal or Publication Title: IEEE Cloud Computing
Additional Information: ©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1700/1705
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 128520
Deposited By: ep_importer_pure
Deposited On: 25 Oct 2018 15:30
Refereed?: Yes
Published?: Published
Last Modified: 18 Feb 2020 04:07
URI: https://eprints.lancs.ac.uk/id/eprint/128520

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