Load and Fault Aware Honey Bee Scheduling Algorithm for Cloud Infrastructure

Cloud computing a new paradigm in the field of distributed computing after Grid computing. Cloud computing seems to me more promising in term of request failure, security, flexibility and resource availability. Its main feature is to maintain the Quality of service (QoS) provided to the end user in term of processing power, failure rate and many more. So Resource management and request scheduling are important and complex problems in cloud computing, Since maintaining resources and at the same time scheduling the request becomes a complex problem due to distributed nature of cloud. Many algorithms are been proposed to solve this problem like Ant colony based, cost based, priority based algorithms but all these algorithm consider cloud environment as non fault, which leads to degrade in performance of existing algorithms. So a load and fault aware Honey Bee scheduling algorithm is proposed for cloud infrastructure as a service(IaaS). This algorithm takes into consideration fault rate and load on a datacenter to improve the performance and QoS in cloud IaaS environment.