Retraction Note to: A new whale optimizer for workflow scheduling in cloud computing environment

Thennarasu, Sounder Rajan; Selvam, M.; Srihari, K.

doi:10.1007/s12652-022-04159-3

Cited by 4 publications

(4 citation statements)

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“…4. The results obtained by the ECSA are compared with those obtained by the Whale Optimization Algorithm (WOA) [15]. Gravitational Search Algorithm (GSA) [16], and Hybrid Heuristic and Genetic (HHG) [17].…”

Section: Casementioning

confidence: 99%

Optimization Task Scheduling Using Cooperation Search Algorithm for Heterogeneous Cloud Computing Systems

Hamed¹,

Elnahary²,

Alsubaei³

et al. 2023

Computers, Materials &Amp; Continua

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Cloud computing has taken over the high-performance distributed computing area, and it currently provides on-demand services and resource polling over the web. As a result of constantly changing user service demand, the task scheduling problem has emerged as a critical analytical topic in cloud computing. The primary goal of scheduling tasks is to distribute tasks to available processors to construct the shortest possible schedule without breaching precedence restrictions. Assignments and schedules of tasks substantially influence system operation in a heterogeneous multiprocessor system. The diverse processes inside the heuristic-based task scheduling method will result in varying makespan in the heterogeneous computing system. As a result, an intelligent scheduling algorithm should efficiently determine the priority of every subtask based on the resources necessary to lower the makespan. This research introduced a novel efficient scheduling task method in cloud computing systems based on the cooperation search algorithm to tackle an essential task and schedule a heterogeneous cloud computing problem. The basic idea of this method is to use the advantages of meta-heuristic algorithms to get the optimal solution. We assess our algorithm's performance by running it through three scenarios with varying numbers of tasks. The findings demonstrate that the suggested technique beats existing methods New Genetic Algorithm (NGA), Genetic Algorithm (GA), Whale Optimization Algorithm (WOA), Gravitational Search Algorithm (GSA), and Hybrid Heuristic and Genetic (HHG) by 7.9%, 2.1%, 8.8%, 7.7%, 3.4% respectively according to makespan.

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Section: Casementioning

confidence: 99%

Optimization Task Scheduling Using Cooperation Search Algorithm for Heterogeneous Cloud Computing Systems

Hamed¹,

Elnahary²,

Alsubaei³

et al. 2023

Computers, Materials &Amp; Continua

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“…The authors in [15] have designed a new framework as whale optimizer algorithm (WOA) which mimics the social behaviour of humpback whales. The main idea of the presented work is to improve the workflow scheduling constraints and balance the load among the used resources.…”

Section: Related Workmentioning

confidence: 99%

Task Scheduling in Cloud Computing Based on FPA Metaheuristic Algorithm

Malti

Benmammar

Hakem

2022

2022 19th International Multi-Conference on Systems, Signals &Amp; Devices (SSD)

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In this paper, we propose to address the multiobjective task scheduling issue in cloud computing system in order to find the best assignment of the user-submitted tasks to the cloud resources provided by the cloud service providers. To achieve a high overall performance for computational cloud resources, a good scheduler algorithm is required to meet customer requirements and ensure efficient QoS. To this end, the Flower Pollination Algorithm metaheuristic has been used to orchestrate the trade-offs relationship between three end-user QoS-based criteria, namely reliability, time makespan and execution cost. The results obtained from the experiment conducted with the CloudSim simulator clearly show the interest of our approach based on FPA.

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“…In this, a high-level heuristic approach was used in which it consists of pool of metaheuristic algorithms from which scheduler need to pick up an algorithm based on the least runtime for that workload for that corresponding workflow and iteration. Customized test bed was created for the experimentation, it was compared with existing metaheuristic scheduling algorithms, and results revealed that complete time driven approach outperforms existing algorithms while minimizing the cost.In [10], a natureinspired algorithm was used to model workflow-scheduling framework designed to address makespan and resource utilization. This model uses a humpback whale algorithm to solve workflow-scheduling problem.…”

Section: Related Workmentioning

confidence: 99%

An Effective Workflow Scheduling Algorithm in Cloud Computing Using Cat Swarm Optimization

Mangalampalli¹,

Sree²,

Satish³

et al. 2022

ECS Trans.

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Effective workflow scheduling approach is needed, as it is huge challenge in cloud computing as variable and heterogeneous workflows comes onto cloud console. To handle these complex workflows and to schedule them onto appropriate virtual resources an effective workflow scheduler is necessary. Earlier authors used various nature inspired algorithms to solve this workflow scheduling by minimizing makespan and maximizing resource utilization, but still there is a chance to minimize makespan and improve resource utilization. In this paper, we have calculated the task priorities of all tasks, which are incoming onto cloud console, and thereby mapping tasks onto VMs to effectively map tasks. Cat swarm optimization used to solve scheduling problem and finally we have addressed parameters named as makespan and resource utilization. Simulation was carried out on workflowsim and we evaluated the efficacy of our algorithm by comparing with existing algorithms PSO and CS. From simulation results we observed that our algorithm shows great improvement over existing algorithms for mentioned parameters.

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Retraction Note to: A new whale optimizer for workflow scheduling in cloud computing environment

Cited by 4 publications

References 0 publications

Optimization Task Scheduling Using Cooperation Search Algorithm for Heterogeneous Cloud Computing Systems

Optimization Task Scheduling Using Cooperation Search Algorithm for Heterogeneous Cloud Computing Systems

Task Scheduling in Cloud Computing Based on FPA Metaheuristic Algorithm

An Effective Workflow Scheduling Algorithm in Cloud Computing Using Cat Swarm Optimization

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