Survey on Fault Tolerant Techniques in Scientific Applications

Cloud computing offers services on demand across the Internet with the help of diverse models and layers of abstraction. The dynamic condition of cloud roots different unforeseen deterrents and failures. The capacity of system to react normally to a sudden hardware and programming fault is called fault tolerance. It is a main issue to assure accessibility and consistency of critical services plus execution of scientific application. Failure identification is important in scientific application in order to make the system robust, executable without any delay and reliable. There are various failure detection methods to increase fault tolerance capability of scientific application. The target of this paper is to center around different systems that are utilized for fault tolerance in scientific applications. This review paper aims at summarizing the current state of the art of existing fault tolerant techniques in scientific applications.