Energy-Aware Scheduling of Workflow Using a Heuristic Method on Green Cloud

Table 1

Previous studies on energy-aware task scheduling techniques.

Authors	Proposed method	Target
Barzegar et al. [2]	EATSDCD	Reducing the makespan and energy consumed by the processors to perform the tasks in the DAG
Juarez et al. [22]	MHRA	Minimize the energy consumption and makespan
Sofia and GaneshKumar [27]	NSGA-II	Minimizing the energy consumption and makespan from the cloud service
Yang et al. [31]	EISTS	Balance between optimization of makespan as well as energy consumption
Ben Alla et al. [33]	EATSD	Reduce the energy consumption of the cloud resources and optimize the makespan under the deadlines constraints
Peng et al. [34]	DQN	The framework for trade-off optimization energy consumption and task makespan
Yao et al. [35]	EnMORL	Simultaneously minimize the makespan and energy consumption while meeting the budget constraint
Singh et al. [36]	EEWS	Minimizing makespan and maximizing energy conservation while scheduling workflow
Belgacem et al. [37]	S-MOAL	Minimize both the makespan and the cost of using virtual machines