Fault Tolerance Techniques and Comparative Implementation in Cloud Computing

Abstract

Cloud computing is the result of evolution of on demand service in computing paradigms of large scale distributed computing. It is the adoptable technology as it provides integration of software and resources which are dynamically scalable. These systems are more or less prone to failure. Fault tolerance assesses the ability of a system to respond gracefully to an unexpected hardware or software failure. In order to achieve robustness and dependability in cloud computing, failure should be assessed and handled effectively. This paper aims to provide a better understanding of fault tolerance techniques used for fault tolerance in cloud environments along with some existing model and further compare them on various parameters.

A Survey of Cloud Computing Fault Tolerance: Techniques and Implementation

“… LLFT -is a propose model which contains a low latency fault tolerance (LLFT) middleware for providing fault tolerance for distributed applications deployed with in the cloud computing environment. This middleware replicates application by the using of semi-active replication or semi-passive replication process to protect the application against various types of faults [13].…”

A New Enhanced Mechanism for Fault Tolerance using Resource Optimization

“…Authors in papers [4][5] [6] describes the various existing fault tolerance models. These various fault tolerance techniques are used for handling different types of faults.…”

Survey on fault tolerant — Load balancing algorithmsin cloud computing

“…Here we compare and analyse both the fault tolerance and load balancing efficiency of the above stated algorithms [16,17,18,19,20,21]. Parameters used in evaluating fault tolerance using load balancing algorithms in cloud.…”