Improving Quality of Services of Fog Computing Through Efficient Work Flow Scheduling-Reference-Cited by-同舟云学术

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Improving Quality of Services of Fog Computing Through Efficient Work Flow Scheduling

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
language:
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Author:

Prasanth G. Ravi¹,Kumar M. Sathish¹,Ali Rabei Raad²,Ali Aqeel³,Sabah Hawraa Ali²,Al-Tahee Mustafa³

Affiliation:

1. Hindustan Institute of Technology and Science,Department of Computer Applications,Chennai,Tamil Nadu,India

2. National University of Science and Technology,Collage of Engineering,Dhi Qar,Iraq

3. Al-Farahidi University,Medical Laboratory Techniques Department,Iraq,Baghdad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182388/10182370/10183104.pdf?arnumber=10183104

Reference16 articles.

1. Scheduling of Scientific Workflows in Multi-Fog Environments Using Markov Models and a Hybrid Salp Swarm Algorithm

2. An Energy-Efficient Load Balancing Approach for Scientific Workflows in Fog Computing

3. A Fog Computing Framework for Quality of Service Optimisation in the Internet of Things (IoT) Ecosystem

4. Task scheduling in cloud-fog computing systems

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