Fractional social optimization-based migration and replica management algorithm for load balancing in distributed file system for cloud computing
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a Fractional Social Optimization Algorithm (FSOA) to improve data management in cloud-based Distributed File Systems (DFS). The FSOA effectively balances workloads and manages file replicas, enhancing data access and availability.
Area Of Science
- Computer Science
- Cloud Computing
- Data Management
Background
- Effective data management is a critical challenge in Distributed File Systems (DFS), particularly in cloud environments.
- File replication is essential for minimizing data access times and enhancing data availability.
- Current methods often struggle with efficient load balancing and resource utilization in dynamic cloud settings.
Purpose Of The Study
- To devise a novel algorithm for replica management and load balancing in cloud-based DFS.
- To optimize resource utilization, minimize energy consumption, and reduce migration costs.
- To enhance overall system performance and data accessibility.
Main Methods
- File partitioning into chunks using Deep Fuzzy Clustering (DFC).
- Round-robin assignment of Virtual Machines (VMs) to file chunks.
- Development of the Fractional Social Optimization Algorithm (FSOA) by integrating Social Optimization Algorithm (SOA) and Fractional Calculus (FC).
- Load balancing considering objectives such as resource use, energy consumption, and migration cost.
Main Results
- The proposed FSOA achieved the smallest load (0.299).
- FSOA demonstrated the smallest cost (0.395) and energy consumption (0.510).
- The algorithm resulted in the smallest overhead (0.358) and improved throughput (0.537).
Conclusions
- The Fractional Social Optimization Algorithm (FSOA) offers an effective solution for replica management and load balancing in cloud DFS.
- FSOA significantly improves key performance metrics including load, cost, energy consumption, overhead, and throughput.
- The integration of DFC and FSOA provides a robust framework for optimizing distributed file systems.
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