Service Level Agreement Based Fault Tolerant Workload Scheduling in Cloud Computing Environment

Abstract

Cloud computing is a concept of providing user and application oriented services in a virtual environment. Users can use the various cloud services as per their requirements dynamically. Different users have different requirements in terms of application reliability, performance and fault tolerance. Static and rigid fault tolerance policies provide a consistent degree of fault tolerance as well as overhead. In this research work we have proposed a method to implement dynamic fault tolerance considering customer requirements. The cloud users have been classified in to sub classes as per the fault tolerance requirements. Their jobs have also been classified into compute intensive and data intensive categories. The varying degree of fault tolerance has been applied consisting of replication and input buffer. From the simulation based experiments we have found that the proposed dynamic method performs better than the existing methods.

Resource-Aware Min-Min (RAMM) Algorithm for Resource Allocation in Cloud Computing Environment

“…From the Cloud provider's perspective, a huge amount of resources is needed to allocate among the globally distributed Cloud users dynamically in a cost-effective way while from the Cloud user's perspective a reliable and economic computing services are needed on demand [4]. There must be a Service Level Agreement (SLA) between the Cloud provider and the Cloud user which consider multiple parameters like the cost of service, the completion time of service (makespan), and throughput in addition to several others [5]. Resource allocation in Cloud Computing, is the process of allocating virtual machines, (storage, computing, and networking) to the Cloud user's applications.…”