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Emergent Failures: Rethinking Cloud Reliability at Scale

Research output: Contribution to journalJournal article

Published
  • Peter Garraghan
  • Renyu Yang
  • Zhenyu Wen
  • Alexander Romanovsky
  • Jie Xu
  • Rajkumar Buyya
  • Rajiv Ranjan
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<mark>Journal publication date</mark>18/10/2018
<mark>Journal</mark>IEEE Cloud Computing
Issue number5
Volume5
Number of pages10
Pages (from-to)12-21
Publication statusPublished
Original languageEnglish

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.

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©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.