Proactive Fault Management in Data Center Applying Cognitive Neural Network

Abstract

Pro-actively handling the fault in data center is a means to allocate the VM to Host before failures, so that SLA is meet for the tasks running in the data center. In this work Cognitive Neural Network (CNN) is used to predict the failure of hosts and initiate migration or avoid allocation to the hosts which has high probability of failures. Hosts in the data center are scored on failure probability (FP-Score) based on parameters collected at various levels using CNN. VM placement and migration policies are fine-tuned using FP-Score to manage the failure proactively.

Authors and Affiliations

S. Indirani, Dr. C. Jothi Venkateswaran

Keywords

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  • EP ID EP445294
  • DOI 10.9790/9622- 0901025864.
  • Views 165
  • Downloads 0

How To Cite

S. Indirani, Dr. C. Jothi Venkateswaran (2019). Proactive Fault Management in Data Center Applying Cognitive Neural Network. International Journal of engineering Research and Applications, 9(1), 58-64. https://europub.co.uk/articles/-A-445294