A fault recovery-based scheduling algorithm for cloud service reliability
Article first published online: 5 MAY 2014
Copyright © 2014 John Wiley & Sons, Ltd.
Security and Communication Networks
How to Cite
Qi, P. and Li, L. (2014), A fault recovery-based scheduling algorithm for cloud service reliability. Security Comm. Networks. doi: 10.1002/sec.1017
- Article first published online: 5 MAY 2014
- Manuscript Accepted: 10 MAR 2014
- Manuscript Revised: 18 FEB 2014
- Manuscript Received: 6 JAN 2014
- cloud computing;
- scheduling algorithm;
- cognitive trust model;
- trinomial distribution;
- fault recovery
Because of the unreliable and dynamic characteristics, cloud service failures are inevitable. It has an adverse effect on task execution and scheduling. To improve cloud service reliability, we first analyze the fault recovery mechanism, and then, cloud service failures considered in this paper are classified into unrecoverable failures and recoverable failures. By extending the traditional dynamic level scheduling (DLS) algorithm, a novel scheduling algorithm based on fault recovery mechanism named fault recovery-based DLS algorithm is proposed to reduce the failure probability of task scheduling. The experimental results confirm that fault recovery mechanism can meet the reliability requirements of cloud computing infrastructures and the proposed algorithm can effectively ensure trustworthy execution of tasks. Copyright © 2014 John Wiley & Sons, Ltd.