A Cuckoo Search Algorithm-Based Task Scheduling in Cloud Computing

Abstract

Recently, Cloud computing emerges out as a latest technology which enables an organization to use the computing resources like hardware, applications, and software, etc., to perform the computation over the internet. Cloud computing gain so much attention because of advance technology, availability, and cost reduction. Task scheduling in cloud computing emerges out as new area of research which attracts the attention of lots researchers. An effective task scheduling is always required for optimum or efficient utilization of the computing resources to avoid the situation of over or under-utilization of such resources. Through this paper, we are going to proposed the cuckoo search-based task scheduling approach which helps in distributing the tasks efficiently among the available virtual machines (VM’s) and also keeps the overall response time (QoS) minimum. This algorithm assigns the tasks among the virtual machines on the basis of their processing power, i.e., million instructions per seconds (MIPS) and length of the tasks. A comparison of cuckoo search algorithm is done with the first—in first—out (FIFO) and greedy-based scheduling algorithm which is performed using the CloudSim simulator, the results clearly shows that cuckoo search outperforms the other algorithms.