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A Mobility-aware Load Balancing Technique to Reduce Makespan in Fog-Enabled Networks

Seraj, Yasaman | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57163 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Hemmatyar, Ali Mohammad Afshin; Safaei, Bardia
  7. Abstract:
  8. Fog computing is essentially the expansion of cloud computing towards the network edge, reducing user access time to computing resources and services. Various advantages of fog computing, including reduced latency, improve user experience; however, user mobility may limit the benefits of fog computing. By moving users from one location to another, their distance from a fog service and consequently the latency may increase. One solution to maintain latency within an acceptable range is the migration of fog tasks and preserving the distance between the user and available resources. Although some research has been conducted on fog task migration, none of them have considered load balancing in fog nodes. In the proposed solution resulting from this research, suitable fog nodes for migration are selected using the control loop MAPE (Monitor-Analyze-Plan-Execute) and the Particle Swarm Optimization (PSO) algorithm. Additionally, this algorithm periodically performs migration for load balancing of fog nodes, aiming to increase system efficiency. The proposed solution has been modeled and evaluated using the Mobfogsim toolkit. The results show that the proposed solution performs better in terms of network resource utilization (10% improvement), reduced the task migration to cloud (15.5% improvement), and reduced request response time (18% improvement) compared to previous research
  9. Keywords:
  10. Fog Computing ; Task Migration ; Load Balancing ; Particles Swarm Optimization (PSO) ; Cloud Computing ; Monitor-Analyze-Plan-Execute (MAPE)Control Loop

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