Ripple-Induced Whale Optimization Algorithm for Independent Tasks Scheduling on Fog Computing
Author:
Affiliation:
1. Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
Funder
Development Of Corrosion Rate Predictive Dashboard For Corrosion Group In Refinery Of The Future Using Customized AI ML Engine
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10522663.pdf?arnumber=10522663
Reference51 articles.
1. Virtualization Based Efficient Service Matching and Discovery in Internet of Things
2. Research on Task-Offloading Delay in the IoV Based on a Queuing Network
3. Enhancing modular application placement in a hierarchical fog computing: A latency and communication cost-sensitive approach
4. Enabling privacy and security in Cloud of Things: Architecture, applications, security & privacy challenges
5. A Novel Offloading Mechanism Leveraging Fuzzy Logic and Deep Reinforcement Learning to Improve IoT Application Performance in a Three-Layer Architecture Within the Fog-Cloud Environment
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. Reliability and Trust Aware Task Scheduler for Cloud-Fog Computing Using Advantage Actor Critic (A2C) Algorithm;IEEE Access;2024
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