A Practical Fault-Tolerance Approach in Cloud Computing Using Support Vector Machine

Abstract

Fault tolerance is an important issue in the field of cloud computing, which is concerned with the techniques or mechanisms needed to enable a system to tolerate the faults that it may encounter during its functioning. Fault tolerance policies can be categorized into three categories, viz., proactive, reactive and adaptive. By providing a systematic solution, the loss can be minimized and to ensure the availability and reliability of the critical services. The purpose and scope of this study is to recommend support vector machine, a supervised machine learning algorithm to proactively monitor the fault so as to increase the availability and reliability by combining the strength of machine learning algorithms with cloud computing.