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Multi-objective accelerated particle swarm optimization with a container-based scheduling for Internet-of-Things in cloud environment.

, and . J. Netw. Comput. Appl., (2019)

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Multi-objective accelerated particle swarm optimization with a container-based scheduling for Internet-of-Things in cloud environment., and . J. Netw. Comput. Appl., (2019)Multi-objective scheduling strategy for scientific workflows in cloud environment: A Firefly-based approach., , and . Appl. Soft Comput., (2020)Multi-Objective Accelerated Particle Swarm Optimization Technique for Scientific workflows in IaaS cloud., and . ICACCI, page 1448-1454. IEEE, (2018)Guest Editorial Introduction to the Special Section on Computational Intelligence and Advanced Learning for Next-Generation Industrial IoT., , , and . IEEE Trans. Netw. Sci. Eng., 10 (5): 2740-2744 (September 2023)A Survey on Scheduling Strategies for Workflows in Cloud Environment and Emerging Trends., , and . ACM Comput. Surv., 52 (4): 68:1-68:36 (2019)Security in Edge-Centric Intelligent Internet of Vehicles: Issues and Remedies., , , , , and . IEEE Consumer Electron. Mag., 11 (6): 24-31 (2022)A Roadmap of Next-Generation Wireless Technology for 6G-Enabled Vehicular Networks., , , , and . IEEE Internet Things Mag., 4 (4): 79-85 (2021)CTT: Load Test Automation for TOSCA-based Cloud Applications., , , , and . ICPE (Companion), page 89-96. ACM, (2022)Communication-Efficient Federated Learning for Real-time Applications in Edge Networks., , and . ANTS, page 527-532. IEEE, (2023)Resource Management for Processing Wide Area Data Streams on Supercomputers., , , , and . ICCCN, page 1-6. IEEE, (2020)