Workflow Scheduling Using Hybrid PSO-GA Algorithm in Serverless Edge Computing for the Internet of Things
Author:
Affiliation:
1. Beijing University of Posts and Telecommunication,State Key Laboratory of Networking and Switching Technology,Beijing,China
2. Carleton University,Department Systems and Computer Engineering,Ottawa,Canada
Funder
Research and Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9860273/9860350/09860395.pdf?arnumber=9860395
Reference20 articles.
1. Mobility-Aware Joint Task Scheduling and Resource Allocation for Cooperative Mobile Edge Computing
2. A Decentralized Framework for Serverless Edge Computing in the Internet of Things
3. Dependent task placement and scheduling with function configuration in edge computing
4. Skedulix: Hybrid Cloud Scheduling for Cost-Efficient Execution of Serverless Applications
5. A computation offloading method over big data for IoT-enabled cloud-edge computing
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3. A hybrid cloud load balancing and host utilization prediction method using deep learning and optimization techniques;Scientific Reports;2024-01-16
4. A package-aware scheduling strategy for edge serverless functions based on multi-stage optimization;Future Generation Computer Systems;2023-07
5. REPFS: Reliability-Ensured Personalized Function Scheduling in Sustainable Serverless Edge Computing;IEEE Transactions on Sustainable Computing;2023
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