Energy minimization and task deadline aware workload scheduling (EMTDA-WS)
2022, vol.14 , no.2, pp. 15-26
The execution of scientific workflow on cloud platform is time consuming and expensive. As users are charged based on hour of usage, lot of research work have been emphasized in minimizing processing time for reduction of cost. However, the processing cost can be reduced by minimizing energy consumption especially when resources are heterogeneous (i.e., multi-core edge platform) in nature; Very limited work have been done considering optimizing energy and processing time parameter together in meeting task Quality of Service (QoS) requirement. This paper presents an energy minimization and task deadline aware workload scheduling (EMTDA-WS) technique under heterogeneous cloud platform. Experiments are conducted using widely used workflow such as Montage. The outcome shows the EMTDA-WS significantly reduces energy, and processing time in comparison with standard workload scheduling model.
Cloud, Heterogeneous Computing, Quality of Service, Workload Scheduling, Montage Workflow
Hrushikesh Joshi, Uttam Patil, Anand Diggikar. Energy minimization and task deadline aware workload scheduling (EMTDA-WS). International Journal on Information Technologies and Security, vol.14 , no.2, 2022, pp. 15-26.