A hybrid meta-heuristic task scheduling algorithm based on genetic and thermodynamic simulated annealing algorithms in cloud computing environments-Reference-Cited by-同舟云学术

A hybrid meta-heuristic task scheduling algorithm based on genetic and thermodynamic simulated annealing algorithms in cloud computing environments

Published:2021-07-18 Issue:24 Volume:33 Page:16951-16984
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Tanha Mozhdeh,Hosseini Shirvani Mirsaeid,Rahmani Amir Masoud

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-06289-9.pdf

Reference54 articles.

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2. Hosseini Shirvani M, Rahmani AM, Sahafi A (2018) An iterative mathematical decision model for cloud migration: a cost and security risk approach. Softw Pract Exp 48:449–485. https://doi.org/10.1002/spe.2528

3. Hosseini Shirvani M (2020) To move or not to move: an iterative four-phase cloud adoption decision model for IT outsourcing based on TCO. J Soft Comput Inf Technol 9(2):7–17

4. Roy SK, Devaraj R, Sarkar A, Maji K, Sinha S (2019) Contention-aware optimal scheduling of real-time precedence-constrained task graphs on heterogeneous distributed systems. J Syst Architect. https://doi.org/10.1016/j.sysarc.2019.101706

5. Hosseini Shirvani M, Ghojoghi A (2018) Server consolidation schemes in cloud computing environment: a review. Eur J Eng Res Sci 1(2018):18–24

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