Parameter Investigation Study On Task Scheduling in Cloud Computing
Author:
Affiliation:
1. VIT-AP University,School of computer science and engineering,Amaravathi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10249210/10249011/10249529.pdf?arnumber=10249529
Reference33 articles.
1. Joint Optimization of Energy Conservation and Migration Cost for Complex Systems in Edge Computing
2. EEOA: Cost and Energy Efficient Task Scheduling in a Cloud-Fog Framework
3. An Efficient Trust-Aware Task Scheduling Algorithm in Cloud Computing Using Firefly Optimization
4. Multi Objective Task Scheduling in Cloud Computing Using Cat Swarm Optimization Algorithm
5. ASK-RAM-IMOT: Autonomous Shared Keys based Remote Authentication Method for Internet of Medical Things Applications
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1. IDLOA: Prioritized Task Scheduling for Optimizing Resource Utilization in Cloud-Fog Environment;2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT);2024-04-06
2. Analysis of Meta Heuristic Algorithms in Task Scheduling for Cloud-Fog Computing: A future Perspective;2024 4th International Conference on Data Engineering and Communication Systems (ICDECS);2024-03-22
3. GEWO: An Efficient Prioritised Task Scheduling in Cloud Fog Computing Environment;2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET);2024-03-21
4. HGCSO: Energy Efficient Multi-objective Task Scheduling in Cloud-Fog Environment;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024
5. IWaOA: Resource Aware Scheduling Through Cloud Fog Computing Environment;2023 4th International Conference on Communication, Computing and Industry 6.0 (C216);2023-12-15
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