Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    An efficient game-theoretic approach for resource management in Cloud Federation
    (Institute of Electrical and Electronics Engineers Inc., 2016) Thakur, P.K.; Thomas, M.V.; Chandrasekaran, K.
    Cloud Federation is an emerging technology for the effective utilization of cloud resources. Effective management of resources is very much required in order to increase the profits of individual CSPs in the federation. Hence, it is of crucial business value for a cloud provider to develop an effective mechanism so that the resource management is efficient in the cloud federation scope. In this paper, we discuss the design and development of game-theoretic approach for the resource management mechanism also considering the trust values between the participating CSPs in the federation. We have discussed and analysed the performance of both the co-operative and non co-operative approaches for the resource allocation. © 2015 IEEE.
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    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).