Task Scheduling Based on Multi-level Hashing and HRRN in cloud computing-Reference-Cited by-同舟云学术

Task Scheduling Based on Multi-level Hashing and HRRN in cloud computing

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
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Author:

Zeng Lei¹,Sun Jiawei¹,Ma Jianhao¹,Liu Qi¹

Affiliation:

1. School of Computer and Software, Nanjing University of Information Science and Technology (NUIST),Nanjing,China

Funder

National Natural Science Foundation of China

Major Program of the National Social Science Fund of China

Royal Society of Edinburgh, UK

(Natural Science Foundation) of Jiangsu Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9730105/9730119/09730275.pdf?arnumber=9730275

Reference22 articles.

1. MOWS: Multi-objective workflow scheduling in cloud computing based on heuristic algorithm

2. A heuristic-based task scheduling algorithm for scientific workflows in heterogeneous cloud computing platforms;noorian;Journal of King Saud University - Computer and Information Sciences,2021

3. Computation of workflow scheduling using backpropagation neural network in cloud computing: a virtual machine placement approach

4. PSO-COGENT: Cost and energy efficient scheduling in cloud environment with deadline constraint

5. Heuristic initialization of PSO task scheduling algorithm in cloud computing

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