Smart PSO-based secured scheduling approaches for scientific workflows in cloud computing-Reference-Cited by-同舟云学术

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Smart PSO-based secured scheduling approaches for scientific workflows in cloud computing

Published:2017-11-08 Issue:5 Volume:23 Page:1745-1765
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Sujana J. Angela Jennifa,Revathi T.,Priya T. S. Siva,Muneeswaran K.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-017-2897-8/fulltext.html

Reference46 articles.

1. Abraham A, Liu H, Chang TG (2006) Variable neighborhood Particle Swarm Optimization Algorithm. In: GECCO ’06 Seattle, WA, USA Copyright ACM

2. Arabnejad H, Barbosa JG (2014) List scheduling algorithm for heterogeneous systems by an optimistic cost table. IEEE Trans Parallel Distrib Syst 25:682–694

3. Beegom ASA, Rajasree MS (2014) A Particle Swarm Optimization based pareto optimal task scheduling in cloud computing. In: Tan Y, Shi Y, Coello CAC (eds) Advances in Swarm Intelligence: 5th international conference, ICSI 2014, Hefei, China, October 17–20, 2014, Proceedings, Part II. Springer International Publishing, Cham, pp 79–86. https://doi.org/10.1007/978-3-319-11897-0_10

4. Berriman GB, Deelman E, et al. (2004) Montage: a grid-enabled engine for delivering custom science-grade mosaics on demand. In: SPIE conference on astronomical telescopes and instrumentation

5. Bilogrevic I, Jadliwala M, Kumar P, Walia SS, Hubaux JP, Aad I, Niemi V (2011) Meetings through the cloud: privacy-preserving scheduling on mobile devices. J Syst Softw 84:1910–1927

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