Skip to main navigation menu Skip to main content Skip to site footer
Español (España) | English
Editorial
Revistas / Journals
Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
Home
Issue
Current Issue Previous Issues Special Issue
About
About the Journal Editorial Team Privacy Statement Digital preservation policy Contact
Submissions
Author Guidelines Peer Review Process Ethical aspects Open Access Policy and Copyright Anti-plagiarism policy Crossmark policy page
Indexing
×
Español (España) | English
Editorial

Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
Home

Current Issue Previous Issues Special Issue

About the Journal Editorial Team Privacy Statement Digital preservation policy Contact

Author Guidelines Peer Review Process Ethical aspects Open Access Policy and Copyright Anti-plagiarism policy Crossmark policy page
Indexing
Original
Published: 2024-02-08
DOI: https://doi.org/10.56294/dm2024193

Resource allocation on periotity based schuduling and improve the security using DSSHA-256

By
K.Prathap Kumar ,
K.Prathap Kumar

Research Scholar, Vistas , Chennai-48 India

Search this author on:

PubMed | Google Scholar
K. Rohini ,
K. Rohini

Professor, Department of Computer Application, Vistas, Chennai-48,India

Search this author on:

PubMed | Google Scholar

Abstract

Cloud computing has gained popularity with advancements in virtualization technology and the deployment of 5G. However, scheduling workload in a heterogeneous multi-cloud environment is a complicated process. Users of cloud services want to ensure that their data is secure and private, especially sensitive or proprietary information. Several research works have been proposed to solve the challenges associated with cloud computing. The proposed Adaptive Priority based scheduling (PBS) focuses on reducing data access completion time and computation expense for task scheduling in cloud computing. PBS assigns tasks depending on its size and selects the minimum cost path for data access. It contains a task register, scheduler, and task execution components for efficient task execution. The proposed system also executes a double signature mechanism for data privacy and security in data storage. This study correlates the perfo}rmance of three algorithms, PBS, (Task Requirement Degree) TRD and (recommended a Risk adaptive Access Control) RADAC, in terms of task execution time and makespan time. The experimental results demonstrate that PBS outperforms TRD and RADAC in both metrics, as the number of tasks increases. PBS has a minimum task execution time and a lower makespan time than the othertwo algorithms

 

Keywords:

Cloud Computing,
Certificate Based Cryptography,
PBS,
TRD,
RADAC,

How to Cite

1.
Kumar K, Rohini K. Resource allocation on periotity based schuduling and improve the security using DSSHA-256. Data and Metadata [Internet]. 2024 Feb. 8 [cited 2024 Jul. 27];3:193. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/193

Copyright Notice

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

Article metrics

Google scholar: See link

Metrics

Metrics Loading ...

Vol. 3 (2024)
See full issue

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.