Faculty Publications
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Item LitE: Load Balanced Virtual Data Center Embedding for Energy Efficiency in Data Centers(Association for Computing Machinery, Inc, 2025) Preetham, N.; Addya, S.K.; Keerthan Kumar, K.K.; Hegde, S.Network virtualization (NV) enables efficient management of physical network (PN) resources by partitioning them into virtual data center requests (VDCRs), consisting of interconnected virtual machines (VMs) and virtual links (VLs). A key challenge in NV is virtual data center embedding (VDCE), which allocates PN resources to VMs and VLs and is -hard problem. Existing VDCE strategies often fail to balance energy efficiency and resource distribution, leading to sub-optimal solutions with higher energy consumption in data centers (DCs). This work presents LitE, a load-balanced VDCE strategy focused on minimizing energy consumption in single-domain PN. LitE uses a resource management strategy that considers server utilization, overloading probability, and energy consumption to select suitable servers for VM embedding. It then applies Dijkstra's shortest path algorithm for VL embedding to optimize energy use. Experiments show LitE improves energy efficiency by compared to baseline methods through better resource utilization. © 2025 Copyright held by the owner/author(s).Item EFraS: Emulated framework to develop and analyze dynamic Virtual Network Embedding strategies over SDN infrastructure(Elsevier B.V., 2024) Keerthan Kumar, K.K.; Tomar, S.; Addya, S.K.; Satpathy, A.; Koolagudi, S.G.The integration of Software-Defined Networking (SDN) into Network Virtualization (NV) significantly enhances network management, isolation, and troubleshooting capabilities. However, it brings forth the intricate challenge of allocating Substrate Network (SN) resources for various Virtual Network Requests (VNRs), a process known as Virtual Network Embedding (VNE). It encompasses solving two intractable sub-problems: embedding Virtual Machines (VMs) and embedding Virtual Links (VLs). While the research community has focused on formulating embedding strategies, there has been less emphasis on practical implementation at a laboratory scale, which is crucial for comprehensive design, development, testing, and validation policies for large-scale systems. However, conducting tests using commercial providers presents challenges due to the scale of the problem and associated costs. Moreover, current simulators lack accuracy in representing the complexities of communication patterns, resource allocation, and support for SDN-specific features. These limitations result in inefficient implementations and reduced adaptability, hindering seamless integration with commercial cloud providers. To address this gap, this work introduces EFraS (Emulated Framework for Dynamic VNE Strategies over SDN). The goal is to aid developers and researchers in iterating, testing, and evaluating VNE solutions seamlessly, leveraging a modular design and customized reconfigurability. EFraS offers various functionalities, including generating real-world SN topologies and VNRs. Additionally, it integrates with a diverse set of evaluation metrics to streamline the testing and validation process. EFraS leverages Mininet, Ryu controller, and OpenFlow switches to closely emulate real-time setups. Moreover, we integrate EFraS with various state-of-the-art VNE schemes, ensuring the effective validation of embedding algorithms. © 2024 Elsevier B.V.