Multi objective Ant Colony Optimization Technique for Task Scheduling in Cloud Computing-Reference-Cited by-同舟云学术

Multi objective Ant Colony Optimization Technique for Task Scheduling in Cloud Computing

Published:2024-06-05 Issue: Volume:33 Page:830-835
ISSN:
Container-title:2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
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Author:

Hemanth S V¹,Kirubha D.²,Reddy Sheri Ramchandra³,Chelladurai T.⁴,Soundari A. Gnana⁵,Amirthayogam G.⁶

Affiliation:

1. Hyderabad Institute of Technology and Management,Department of Computer Science and Engineering,Hyderabad,Telangana,India,501401

2. Rajarajeswari College of engineering,Department of Computer Science and Engineering,Bangalore,Karnataka,India,560074

3. CMR Technical Campus,Department of Computer Science and Engineering (AIML),Hyderabad,Telangana,india,501401

4. PSNA College of Engineering and Technology,Department of Electronics and Communication Engineering,Dindigul,Tamil Nadu,India,624622

5. Saveetha Institute of Medical And Technical Sciences,Saveetha School of Engineering,Department of Computer Science and Engineering,Thandalam,Tamil Nadu,600124

6. Hindustan Institute of Technology and Science (Deemed To Be University),Department of Information Technology,Chennai,Tamilnadu,India,603103

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574858/10574894/10575423.pdf?arnumber=10575423

Reference16 articles.

1. Resource Management and Scheduling

2. Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification

3. A Taxonomy of Live Migration Management in Cloud Computing

4. An Architecture of IoT Service Delegation and Resource Allocation Based on Collaboration between Fog and Cloud Computing

5. Deep Reinforcement Learning for Multi-resource Cloud Job Scheduling