Multiobjective Prioritized Workflow Scheduling in Cloud Computing Using Cuckoo Search Algorithm

Table 1

Analysis of existing works done by previous researchers.

Authors	Methodology used	Parameters addressed
Mustafa et al. [7]	ECTC	Energy consumption, migrations, SLA violations
Chen et al. [8]	OWC-A2C	Resource utilization, execution costs
Wang et al. [9]	IMPSO	Makespan, cost
Yao et al. [10]	TDSA	Makespan, resource utilization
Zhang et al. [11]	RMREC	Energy consumption
Malik et al. [12]	PSO based scheduler	Makespan, energy consumption, load balancing
Anitha and Vidyaraj [13]	Clustering approach	Prediction of SLA violation, workload
Faragardi et al. [14]	GRP-HEFT	Makespan
Aktan and Bulut [15]	DESA	Task completion time, load balancing
Hu et al. [16]	MOACO, CCA	CPU utilization, response time
Yao et al. [10]	TDSA	Makespan
Cui and Xiaoqing [17]	Two-dimensional coding	Execution costs
Sohani and Jain [25]	PMHEFT	Makespan, efficiency, power consumption
Mustafa et al. [26]	SLAAEERM	Energy efficiency, SLA compliance.
Talouki et al. [18]	TDA	Makespan, speedup
Talouki et al. [19]	Hybrid GA	Makespan
Shirvani and Talouki [20]	HH-LiSch	SLR, makespan, speedup
Shirvani [21]	HDPSO	SLR, speedup, efficiency
Tanha et al. [22]	TSAA	SLR, speedup, makespan
Shirvani and Talouki [23]	Bi-objective scheduling	Monetary cost, speedup, makespan
Alaie et al. [24]	HDCSA	SLR, speedup, efficiency

GRP-HEFT, greedy resource provisioning and modified heterogeneous earliest finish time; TDSA, task driven Scheduling algorithm; SLR, scheduling length ratio; IMPSO, immune mutation particle swarm optimization; CCA, cheetah chase algorithm; MOACO; modified ant colony optimization.