Load Balancing for Virtual Machines in Heterogeneous Data Center Networks Using Software Defined Networking Integrated with Multi Criteria Decision Making: A Systematic Review.

Ikhioya Emmanuel; Ajaegbu C. (Prof.)

doi:10.52589/BJCNIT-RVOQ3V6T

Load Balancing for Virtual Machines in Heterogeneous Data Center Networks Using Software Defined Networking Integrated with Multi Criteria Decision Making: A Systematic Review. | AB Journals

Load Balancing for Virtual Machines in Heterogeneous Data Center Networks Using Software Defined Networking Integrated with Multi Criteria Decision Making: A Systematic Review.

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British Journal of Computer, Networking and Information Technology

Vol. 9Issue 12026pp. 1–14Published 18 January 2026

DOI 10.52589/BJCNIT-RVOQ3V6T

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Abstract:

Efficient load balancing is vital in heterogeneous data center networks to ensure optimal resource use and service performance. Traditional methods struggle with dynamic VM workloads and diverse resource demands. This systematic review explores the integration of Software-Defined Networking (SDN) and Multi-Criteria Decision Making (MCDM) as a solution. SDN offers centralized, programmable control, while MCDM enables intelligent decision-making across multiple performance metrics. Reviewing recent literature, this study highlights key techniques—such as the Weighted Sum Model (WSM)—and identifies gaps in real-time adaptability and metric integration. The review serves as a foundation for developing scalable, QoS-aware load balancing systems in cloud environments.

Keywords:SDN MCDM Load Balancing Virtual Machines Data Centers WSM QoS Cloud Computing.

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