Meta-Heuristic Techniques Study for Fault Tolerance in Cloud Computing Environment: A Survey Work

Abstract

This paper focuses on a study on meta-heuristic techniques for fault tolerance under cloud computing environment. Cloud computing introduces the support to increasing complex applications, the need to check and endorse handling models under blame imperatives which turns out to be more vital, meaning to guarantee applications execution. Meta-heuristics are problem-independent techniques and workload planning is known to be a NP-Complete problem, therefore meta-heuristics have been used to solve such problems. The idea behind using meta-heuristics is to increase the performance and decrease the computational time to get the job done and in our case, meta-heuristics are to be considered the robust solution of finding the right combinations of resources and tasks to minimize the computational expenses, cut costs and provide better services for users. Fault tolerance plays an important key role in ensuring high serviceability and unwavering quality in cloud. In these days, the requests for high adaptation to noncritical failure, high serviceability, and high unwavering quality are turning out to be exceptionally solid, assembling a high adaptation to internal failure, high serviceability and high dependability cloud is a basic, challenging, and urgently required task.