Heuristics and Meta-Heuristics based Algorithms for Resource Optimization in Fog Computing Environment: A Comparative Study-Reference-Cited by-同舟云学术

Heuristics and Meta-Heuristics based Algorithms for Resource Optimization in Fog Computing Environment: A Comparative Study

Published:2023-01-05 Issue: Volume: Page:
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Container-title:2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)
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Author:

Gupta Shally¹,Singh Nanhay¹

Affiliation:

1. Formerly AIACTR,CSE NSUT East Campus,Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10053371/10052779/10053388.pdf?arnumber=10053388

Reference21 articles.

1. FBRC: Optimization of task Scheduling in Fog-Based Region and Cloud

2. A hybrid approach to scheduling real-time IoT workflows in fog and cloud environments

3. An efficient task scheduling approach using moth?Flame Optimization Algorithm for Cyber?Physical System applications in Fog Computing;ghobaei-arani;Transactions on Emerging Telecommunications Technologies,2019

4. Mobility-aware task scheduling in cloud-fog IOT-based healthcare architectures;abdelmoneem;Computer Networks,2020

5. Latency‐minimum offloading decision and resource allocation for fog‐enabled Internet of Things networks

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1. Tasks Scheduling with Load Balancing in Fog Computing: a Bi-level Multi-Objective Optimization Approach;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

2. A new approach for service activation management in fog computing using Cat Swarm Optimization algorithm;Computing;2024-07-04

3. Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects;PeerJ Computer Science;2024-06-17