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research-article

Cloud-DLS

Authors:

Jing YaoAuthors Info & Claims

Expert Systems with Applications: An International Journal, Volume 39, Issue 3

Pages 2321 - 2329

https://doi.org/10.1016/j.eswa.2011.08.048

Published: 01 February 2012 Publication History

Abstract

Highlights This paper proposed a novel Bayesian method based cognitive trust model. A trust dynamic level scheduling algorithm named Cloud-DLS is proposed. A benchmark is structured for evaluation of the proposed method. Experiments and case studies are carried out to evaluate our proposed method. Clouds are rapidly becoming an important platform for scientific applications. In the Cloud environment with uncountable numeric nodes, resource is inevitably unreliable, which has a great effect on task execution and scheduling. In this paper, inspired by Bayesian cognitive model and referring to the trust relationship models of sociology, we first propose a novel Bayesian method based cognitive trust model, and then we proposed a trust dynamic level scheduling algorithm named Cloud-DLS by integrating the existing DLS algorithm. Moreover, a benchmark is structured to span a range of Cloud computing characteristics for evaluation of the proposed method. Theoretical analysis and simulations prove that the Cloud-DLS algorithm can efficiently meet the requirement of Cloud computing workloads in trust, sacrificing fewer time costs, and assuring the execution of tasks in a security way.

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Cited By

Alam MShahid MMustajab S(2024)Security challenges for workflow allocation model in cloud computing environment: a comprehensive survey, framework, taxonomy, open issues, and future directionsThe Journal of Supercomputing10.1007/s11227-023-05873-180:8(11491-11555)Online publication date: 1-May-2024
https://dl.acm.org/doi/10.1007/s11227-023-05873-1
Alam MShahid MMustajab S(2024)Security prioritized multiple workflow allocation model under precedence constraints in cloud computing environmentCluster Computing10.1007/s10586-022-03819-527:1(341-376)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s10586-022-03819-5
Onyema EGude VBhatt AAggarwal AKumar SBenson-Emenike MNwobodo L(2023)Smart Job Scheduling Model for Cloud Computing Network ApplicationSN Computer Science10.1007/s42979-023-02441-55:1Online publication date: 29-Nov-2023
https://dl.acm.org/doi/10.1007/s42979-023-02441-5
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Cloud-DLS
1. Computer systems organization
  1. Architectures
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures

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Information & Contributors

Information

Published In

cover image Expert Systems with Applications: An International Journal

Expert Systems with Applications: An International Journal Volume 39, Issue 3

February, 2012

1661 pages

ISSN:0957-4174

Issue’s Table of Contents

Copyright © Elsevier Ltd.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 February 2012

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Cited By

Alam MShahid MMustajab S(2024)Security challenges for workflow allocation model in cloud computing environment: a comprehensive survey, framework, taxonomy, open issues, and future directionsThe Journal of Supercomputing10.1007/s11227-023-05873-180:8(11491-11555)Online publication date: 1-May-2024
https://dl.acm.org/doi/10.1007/s11227-023-05873-1
Alam MShahid MMustajab S(2024)Security prioritized multiple workflow allocation model under precedence constraints in cloud computing environmentCluster Computing10.1007/s10586-022-03819-527:1(341-376)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s10586-022-03819-5
Onyema EGude VBhatt AAggarwal AKumar SBenson-Emenike MNwobodo L(2023)Smart Job Scheduling Model for Cloud Computing Network ApplicationSN Computer Science10.1007/s42979-023-02441-55:1Online publication date: 29-Nov-2023
https://dl.acm.org/doi/10.1007/s42979-023-02441-5
Abualigah LAlkhrabsheh M(2022)Amended hybrid multi-verse optimizer with genetic algorithm for solving task scheduling problem in cloud computingThe Journal of Supercomputing10.1007/s11227-021-03915-078:1(740-765)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1007/s11227-021-03915-0
Belgacem A(2022)Dynamic resource allocation in cloud computing: analysis and taxonomiesComputing10.1007/s00607-021-01045-2104:3(681-710)Online publication date: 1-Mar-2022
https://dl.acm.org/doi/10.1007/s00607-021-01045-2
Qi PShu HZhu Q(2021)Reliability and mobility aware task offloading strategy and scheduling algorithm in wisdom medical scenarioJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-20202540:3(5255-5273)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.3233/JIFS-202025
Qi PWang FHong S(2019)A Novel Trust Model Based on Node Recovery Technique for WSNSecurity and Communication Networks10.1155/2019/25451292019Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1155/2019/2545129
Sujana JRevathi TPriya TMuneeswaran K(2019)Smart PSO-based secured scheduling approaches for scientific workflows in cloud computingSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-017-2897-823:5(1745-1765)Online publication date: 1-Mar-2019
https://dl.acm.org/doi/10.1007/s00500-017-2897-8
(2017)A framework of cloud service selection based on trust mechanismInternational Journal of Ad Hoc and Ubiquitous Computing10.1504/IJAHUC.2017.08359625:3(109-119)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1504/IJAHUC.2017.083596
Deldari ANaghibzadeh MAbrishami S(2017)CCAThe Journal of Supercomputing10.1007/s11227-016-1789-573:2(756-781)Online publication date: 1-Feb-2017
https://dl.acm.org/doi/10.1007/s11227-016-1789-5
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