An improved Firefly Algorithm based Task Scheduling in Cloud Computing for Effective Resource Utilization-Reference-Cited by-同舟云学术

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An improved Firefly Algorithm based Task Scheduling in Cloud Computing for Effective Resource Utilization

Published:2022-03-25 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS)
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Author:

Krishnan V. Gokula¹,Rao Pinagadi Venkateswara²,Raja S.³,Bhargav S.¹,Balaji S.³,Divya V.⁴

Affiliation:

1. CVR College of Engineering,CSIT Department,Hyderabad,Telangana,India

2. ACE Engineering College,CSE Department,Ghatkesar, Hyderabad,Telangana,India

3. Panimalar Institute of Technology,CSE Department,Chennai,Tamil Nadu,India

4. Sathyabama Institute of Science and Technology,School of Electrical and Electronics Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9784926/9784957/09785072.pdf?arnumber=9785072

Reference29 articles.

1. Simulated-Annealing Load Balancing for Resource Allocation in Cloud Environments

2. Load Balancing Task Scheduling Based on Genetic Algorithm in Cloud Computing

3. J. P. P. M. (2020). An Enhanced Round Robin (ERR) algorithm for Effective and Efficient Task Scheduling in cloud environment;sanaj;IEEE,0

4. Efficient Resource Allocation with Score for Reliable Task Scheduling in Cloud Computing Systems

5. An Improvement of Task Scheduling Algorithms for Green Cloud Computing

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Probability-Based Crossover Genetic Algorithm for Task Scheduling in Cloud Computing;2023 6th Conference on Cloud and Internet of Things (CIoT);2023-03-20

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