A Global Task Scheduling Method Based on Network Measurement and Prediction in Computing Power Networks-Reference-Cited by-同舟云学术

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A Global Task Scheduling Method Based on Network Measurement and Prediction in Computing Power Networks

Published:2023-12-17 Issue: Volume: Page:2837-2839
ISSN:
Container-title:2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
language:
Short-container-title:

Author:

Zhang Chuanfu¹,Li Wen¹,Chen Jing¹,Ge Jing¹,Wang Di¹,Li Na¹,Sun Hao¹,Geng Yudong¹

Affiliation:

1. Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China

Funder

Shandong Academy of Sciences

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475889/10475881/10476030.pdf?arnumber=10476030

Reference13 articles.

1. An Automated Task Scheduling Model using Non-Dominated Sorting Genetic Algorithm II for Fog-Cloud Systems

2. A Multi-Objective Grouping Genetic Algorithm for Server Consolidation in Cloud Data Centers

3. Cloud computing resource node allocation algorithm based on load balancing strategy

4. Multi-Objective Emperor Penguin Optimizer for Tuning the Quality-of-Service in Cloud Computing

5. OP-MLB: An Online VM Prediction based Multi-objective Load Balancing Framework for Resource Management at Cloud Datacenter

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