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. 2022 Jan 25;22(3):920. doi: 10.3390/s22030920

Table 1.

Summary of the related work.

Aproach Application Type Strengths Weaknesses
GWO-TLBO [38] 11 benchmark functions Consider Time and cost Throughput not considered
GA [39] Independent tasks considering variation in VM performance and acquisition delay Scalability issue and Throughput not considered
LAGA [1] Independent tasks Reduces the failure rate Makespan and throughput not considered
NGA [8] Workflow-based tasks Support for communication delay and application completion time scalability issue and Throughput not considered
GA vs PSO [40] Test cases Compared the performance of both PSO and GA Makespan and throughput not considered
GELS-PSO [9] 10 well-known test problems Improve makespan and maximize meeting task deadline Throughput and ARUR not considered
PSO [41] independent and workflow-based tasks Consider both independent and workflow based workload for load balancing Inertia weight strategy has not considered for analysis
ICDSF [30] Independent tasks Makespan, throughput and response time ARUR not considered
RTPSO-B [42] Independent tasks ARUR, makespan, and cost Throughput not considered
Integer-PSO [43] Independent tasks Support for makespan and cost Throughput and ARUR is not considered and a constant value is used for inertia weight
PSO-BOOST [28] independent tasks considered throughput and conflicting parameters like makespan and cost Role and selection criteria of inertia weight has not explicitly discussed, ARUR not considered
AIWPSO [24] 10 set of benchmark problems Accuracy and convergence speed Makespan and throughput not considered
PSO [47] Workflow based tasks Average makespan Throughput and ARUR not considered
MIPSO [48] Independent tasks Makespan Throughput and ARUR not considered