Fairness-based heuristic workflow scheduling and placement in cloud computing

Cloud computing has become a commercial business environment for small and large scale industries to avail the resources. Cloud application requests are processed dynamically to access resource utilisation based on the diverse demand for cloud resources. The expected allocation of resources to the application is inequitable. This paper aims to analyse the QoS metrics of cloud services based on user satisfaction, and proposes Fairness-based Heuristic Workflow Scheduling and Placement (FHWSP) algorithm with the new multi-objective function. It minimises the overall profit and time of execution with respect to characteristics of tasks and physical servers in the datacentre. The evaluation of the proposed FHWSP algorithm with the existing traditional algorithms is simulated in a CloudSim simulated environment. The experimental results significantly improve the QoS parameters in terms of 5% in makespan and 3% in total execution cost of the scheduling and placement algorithm on CloudSim environment. Copyright © 2019 Inderscience Enterprises Ltd.