The Community for Technology Leaders
Green Image
Issue No. 05 - Sep./Oct. (2018 vol. 5)
ISSN: 2325-6095
pp: 12-21
Peter Garraghan , Lancaster University
Renyu Yang , University of Leeds
Zhenyu Wen , Newcastle University
Alexander Romanovsky , Newcastle University
Jie Xu , University of Leeds
Rajkumar Buyya , University of Melbourne
Rajiv Ranjan , Newcastle University
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.
Cloud computing, Fault tolerance, Fault tolerant systems, Task analysis, Resource management, Complexity theory

P. Garraghan et al., "Emergent Failures: Rethinking Cloud Reliability at Scale," in IEEE Cloud Computing, vol. 5, no. 5, pp. 12-21, 2018.
95 ms
(Ver 3.3 (11022016))