Autosoft Journal

Online Manuscript Access

Trust-Driven and PSO-SFLA based job scheduling algorithm on Cloud



With the advent of big data era, Cloud Computing has drawn widespread interests from industrial and academia. Job scheduling algorithm plays a crucial role in the paradigm of Cloud Computing. The well-designed job scheduling algorithms can provide fast, high quality and safe services. However, the conventional job scheduling algorithms are focusing on the improvement of efficiency, these obscure the important issue of trustworthiness in Cloud. This paper proposes a job scheduling algorithm with the consideration of efficiency and trustworthiness in Cloud. The intuition of the proposed algorithm is based on Particle Swarm Optimization (PSO) and Shuffled Frog Leaping Algorithm (SFLA). In this way, the proposed algorithm can avoid to obtain local optimal results. Also, the trust model is introduced to improve the trust of resources. The comprehensive simulations have been conducted via CloudSim. The experimental results have demonstrated that the proposed algorithm improve the trustworthiness than that of two classical compared algorithms GA and TDMin-Min, respectively.



Total Pages: 6
Pages: 561-566


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways

Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Volume: 22
Issue: 4
Year: 2016

Cite this document


Cha Y.H. Software Guide

Dong, F. (2014). Researches on particles swarm optimizer and its applications in dynamic optimization . (Unpublished master thesis). Zhejiang University, HangZhou.

FAN, Tao et al. "Subjective Trust Metric Based on Weighted Multi-Attribute Cloud." Journal of Computer Applications 33.11 (2013): 3228-3231. Crossref. Web.

Han J. Grid workflow scheduling algorithm under Trust constraint

HU, Chun-Hua, Min WU, and Guo-Ping LIU. "QoS Scheduling Based on Trust Relationship in Web Service Workflow." Chinese Journal of Computers 32.1 (2009): 42-53. Crossref. Web.

Hu, Liang, Xilong Che, and Xiaochun Cheng. "Bandwidth Prediction Based on Nu-Support Vector Regression and Parallel Hybrid Particle Swarm Optimization." International Journal of Computational Intelligence Systems 3.1 (2010): 70-83. Crossref. Web.

Hum P.M. Proceedings of the IEEE HPDC

Li L. Application Research of computer

Li Y. Journal of Beihua University

Liu Y. Application Research of Computers

Luan Y.C. Da Zhong Ke Ji

Ma Q. Computer Engineering and Design

Ou Y. Computer Engineering

Arumugam, M. Senthil, and M.V.C. Rao. "On the Improved Performances of the Particle Swarm Optimization Algorithms with Adaptive Parameters, Cross-over Operators and Root Mean Square (RMS) Variants for Computing Optimal Control of a Class of Hybrid Systems." Applied Soft Computing 8.1 (2008): 324-336. Crossref. Web.

Song Nan. International conference of china communication and technology

Su, Q. (2014). Research and improvement on shuffled frog leaping algorithm (Unpublished master thesis). Xidian University, Xian.

Sun, Liang et al. "A Cooperative Particle Swarm Optimizer with Statistical Variable Interdependence Learning." Information Sciences 186.1 (2012): 20-39. Crossref. Web.

Tu, J.J. (2013). Optimized with PSO and its application Unpublished doctorial dissertation). Zhen Jiang: Jiangsu University.

Wang, Wei et al. "Cloud-DLS: Dynamic Trusted Scheduling for Cloud Computing." Expert Systems with Applications 39.3 (2012): 2321-2329. Crossref. Web.

Wu, Xiaonian et al. "A Task Scheduling Algorithm Based on QoS-Driven in Cloud Computing." Procedia Computer Science 17 (2013): 1162-1169. Crossref. Web.

Wang X.J. Microcomputer Applications

Wang Y.N. Software

Wu Y.Q. Microelectronics & Computer, 2012

Xu, Y.J. (2013). The improvement and application of particle swarm optimization (Unpublished master thesis). Nanjing Normal University, NanJing.

Feng, Ye et al. "A Novel Cloud Load Balancing Mechanism in Premise of Ensuring QoS." Intelligent Automation & Soft Computing 19.2 (2013): 151-163. Crossref. Web.

Kim, Haenakon, ed. "Advances in Technology and Management." Advances in Intelligent and Soft Computing (2012): n. pag. Crossref. Web.

Zhang, X.X. (2012). Research on tasks scheduling in cloud computing environment (Unpublished master thesis). Guangxi University, NanNing.

Zhang, Y.H. (2013). Improvement and application research of shuffled frog leaping algorithm (Unpublished master thesis). Lan Zhou: Gansu Agricultural University.

Zhao X. Microelectronics & Computer

Zuo L.Y. Application Research of Computers

Zuo L.Y. Computer Engineering and Desigh


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048