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Analogous Particle Swarm Optimization for Choosing Optimal Selection of Virtual Machine in Cloud

Publication Type : Conference Paper

Publisher : IEEE

Source : 2022 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, 2022, pp. 1-15, doi: 10.1109/ICCCI54379.2022.9741065.

Url : https://ieeexplore.ieee.org/document/9741065

Campus : Chennai

School : School of Computing

Year : 2022

Abstract : Cloud computing is one of the chief elements in Medical Care Administrations. It tends to be utilized to recover data about patients, their records identified with diagnosing, therapy taken and other clinical data in less measure of time. In this field picking of an ideal VM is a difficult and more intriguing in medical care administrations. The way to deal with pick the best ideal VM helps in expanding the exhibition of medical care benefits consequently decreasing the running opportunity to execute the solicitation. This paper proposes a novel and upgraded rendition of PSO called Similar to Molecule Multitude Enhancement (APSO). The presentation is contrasted and Hereditary Calculation and PSO. The assessment is finished by considering three boundaries like holding up time, use of computer chip and turnaround time. The outcomes unmistakably express that the APSO approach performs well when contrasted with different models. The general execution time for every molecule is registered as 1s and effectiveness apparently is improved by 5.6%.

Cite this Research Publication : R. Prasanna Kumar , T. Vignesh, B. V. Venkateswarulu and R. Sivakumar, "Analogous Particle Swarm Optimization for Choosing Optimal Selection of Virtual Machine in Cloud," 2022 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, 2022, pp. 1-15, doi: 10.1109/ICCCI54379.2022.9741065.

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