Performance improvement in cloud computing through dynamic task scheduling algorithm

Cloud computing can be defined as dynamic hosting of services like servers, network, infrastructure, data storage and applications on internet. Resource management is the core function required by this type of system. Poor resource management affects both to cloud service provider and users in terms of cost and consequences in wastage of resources. Scheduling of tasks plays important role to overcome these losses. Traditional scheduling algorithms suffer from problems like starvation, uneven distribution of loads on nodes etc. and results in increased turnaround time or waiting time of a task. Also these scheduling strategies cannot be applied for every use case as they might be diverse in nature for cloud computing. So in this paper we are introducing efficient and dynamic task scheduling algorithm to increase system functionality and for increased resource utilization. In this paper we have worked on our newly designed dynamic scheduling algorithm and First Come First Serve algorithm. The comparison of results shows that there is increased system performance with our new approach.