RETRACTED: Optimized scheduling techniques focused on powerful heuristics leveraging cloud services soft computing
International Journal of Pervasive Computing and Communications
ISSN: 1742-7371
Article publication date: 5 August 2021
Issue publication date: 27 January 2022
Retraction statement
The publishers of International Journal of Pervasive Computing and Communications wish to retract the article P., V. and Rao, T. (2022), “Optimized scheduling techniques focused on powerful heuristics leveraging cloud services soft computing”, International Journal of Pervasive Computing and Communications, Vol. 18 No. 1, pp. 5-17. https://doi.org/10.1108/IJPCC-04-2021-0087
An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald’s publishing ethics and the COPE guidelines on retractions.
Despite numerous attempts to contact the authors, the journal has received no response; the response of the authors would be gratefully received.
The publishers of the journal sincerely apologize to the readers.
The retracted article is available at: https://doi.org/10.1108/IJPCC-04-2021-0087
Abstract
Purpose
Determining the roles of multiple CSPs is important because it affects job costs and time off. The primary objective of this work is to ensure an efficient and complex distribution of resources in cloud-based computing. Workflow study of various algorithms such as ant colony optimization (ACO), differential evolution algorithm, genetic algorithm, particle swarm optimization (PSO), hybridization of the above algorithms (ADGP). For research, CSP’s tools are put all over the world.
Design/methodology/approach
The main objective of this study is to effectively introduce cloud-based computing in CSPs. The algorithm minimizes resource response time and overall workflow tasks. It seeks to improve load balancing by modifying the algorithm to support load balancing. In the proposed multipurpose scheduling methods, the ADGP algorithm performs better than any other proposed algorithm during the resource response. This algorithm was found to be superior to the selected 200 sources and thousands of tasks. It reduces resource response time by copying service nodes through several sites. As this algorithm moves faster to the best solution, the response time of the resource is reduced compared to other algorithms.
Findings
Hybrid ACOs perform best when it comes to resource management when workloads are uniformly spread across multiple virtual machines. However, hybrids PSOs are better suited to choosing the best options to minimize costs. Overall, an optimal cloud-based scheduling solution can be successfully simulated using CloudSim in CSP to share resources between end-users to support consumers and users effectively.
Originality/value
Hybrid ACOs perform best when it comes to resource management when workloads are uniformly spread across multiple virtual machines. However, hybrids PSOs are better suited to choosing the best options to minimize costs. Overall, an optimal cloud-based scheduling solution can be successfully simulated using CloudSim in CSP to share resources between end-users to support consumers and users effectively.
Keywords
Citation
P., V. and Rao, T. (2022), "RETRACTED: Optimized scheduling techniques focused on powerful heuristics leveraging cloud services soft computing", International Journal of Pervasive Computing and Communications, Vol. 18 No. 1, pp. 5-17. https://doi.org/10.1108/IJPCC-04-2021-0087
Publisher
:Emerald Publishing Limited
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