Quality of Service Based Efficient Resource Allocation in Cloud Computing

Cloud computing focuses on delivery of reliable, Fault-tolerant and scalable infrastructure for hosting Internet based application services. Cloud computing has become a new age technology that has got huge potentials in enterprises and markets. Clouds can make it possible to access applications and associated data from anywhere. Resource allocation is one of the important challenges in cloud computing environment. One of the challenges posed by cloud applications is Quality-of-Service (QoS) management, which is the problem of allocating resources to the application to guarantee a service level along dimensions such as performance, availability and reliability. SLA and Energy-Efficient Dynamic Virtual Machine (VM) Consolidation meets Quality of Service expectations and Service Level Agreements (SLA) requirements. In this paper Modified best fit decreasing (MBFD) algorithm is proposed as the Energy aware Best Fit Decreasing (EABFD) algorithm for satisfying the Qos