Joint Resource Allocation for Software-Defined NetWorking, Caching, and Computing - 2018


Although some glorious works have been done on NetWorking, caching, and computing, these 3 important areas have traditionally been addressed separately within the literature. During this Project, we tend to describe the recent advances in jointing NetWorking, caching, and computing and gift a novel integrated framework: software-outlined NetWorking, caching, and computing (SD-NCC). SD-NCC permits dynamic orchestration of NetWorking, caching, and computing resources to efficiently meet the wants of various applications and improve the tip-to-end system performance. Energy consumption is taken into account as an vital issue when performing resource placement during this Project. Specifically, we have a tendency to study the joint caching, computing, and bandwidth resource allocation for SD-NCC and formulate it as an optimization drawback. Furthermore, to scale back computational complexity and signaling overhead, we tend to propose a distributed algorithm to unravel the formulated downside, based mostly on recent advances in alternating direction method of multipliers (ADMM), in that totally different network nodes solely need to unravel their own issues without exchange of caching/computing decisions with quick convergence rate. Simulation results show the effectiveness of our proposed framework and ADMM-primarily based algorithm with different system parameters.

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