Title: Modelling and evaluating a high serviceability fault tolerance strategy in cloud computing environments

Authors: Dawei Sun; Guiran Chang; Changsheng Miao; Xingwei Wang

Addresses: School of Information Science and Engineering, Northeastern University, Shenyang 110004, China ' School of Information Science and Engineering, Northeastern University, Shenyang 110004, China ' School of Information Science and Engineering, Northeastern University, Shenyang 110004, China ' School of Information Science and Engineering, Northeastern University, Shenyang 110004, China

Abstract: In this paper, the definitions of fault, error, and failure in a cloud are given and the principles for high fault tolerance objectives are systematically analysed by referring to the fault tolerance theories suitable for large-scale distributed computing environments. Based on the principles and semantics of cloud fault tolerance, a dynamic adaptive fault tolerance strategy DAFT is put forward. It includes: (1) analysing the mathematical relationship between different failure rates and checkpointing fault tolerance strategy; (2) building a dynamic adaptive checkpointing fault tolerance model to maximise the serviceability and meet the SLOs; and (3) evaluating the dynamic adaptive fault tolerance strategy under various conditions in large-scale cloud data centres and consider different system centric parameters, such as fault tolerance degree, fault tolerance overhead, etc. Theoretical as well as experimental results conclusively demonstrate that the dynamic adaptive fault tolerance strategy DAFT has high potential as it provides efficient fault tolerance enhancements.

Keywords: fault tolerance; data replication; high serviceability; cloud computing; modelling; performance evaluation; large scale distributed computing; semantics; failure rates.

DOI: 10.1504/IJSN.2012.053458

International Journal of Security and Networks, 2012 Vol.7 No.4, pp.196 - 210

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 23 Apr 2013 *

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