Proactive Scheduling in Cloud Computing
Abstract
Autonomic fault aware scheduling is a feature quite important for cloud computing and it is related to adoption of workload variation. In this context, this paper proposes an fault aware pattern matching autonomic scheduling for cloud computing based on autonomic computing concepts. In order to validate the proposed solution, we performed two experiments one with traditional approach and other other with pattern recognition fault aware approach. The results show the effectiveness of the scheme.
Keywords
fault tolerance, scheduling, performance metrics, cloud computing, QoS
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This work is licensed under a Creative Commons Attribution 3.0 License.
Bulletin of EEI Stats