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


Although some wonderful works are done on NetWorking, caching, and computing, these three necessary areas have historically been addressed separately in the literature. During this Project, we describe the recent advances in jointing NetWorking, caching, and computing and present a unique integrated framework: software-defined NetWorking, caching, and computing (SD-NCC). SD-NCC allows dynamic orchestration of NetWorking, caching, and computing resources to efficiently meet the wants of various applications and improve the end-to-finish system performance. Energy consumption is taken into account as an necessary issue when performing resource placement during this Project. Specifically, we tend to study the joint caching, computing, and bandwidth resource allocation for SD-NCC and formulate it as an optimization problem. Likewise, to scale back computational complexity and signaling overhead, we tend to propose a distributed algorithm to solve the formulated drawback, primarily based on recent advances in alternating direction method of multipliers (ADMM), in which totally different network nodes solely need to resolve their own problems 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.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Joint Transceiver Beamforming Design for Hybrid Full-Duplex and Half-Duplex Ad-Hoc Networks ABSTRACT: In this paper, we propose a joint transceiver beamforming design method for hybrid full-duplex (FD) and half-duplex
PROJECT TITLE : Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers ABSTRACT: The use of mapreduce frameworks to analyze ever-increasing volumes of data is expected to continue increasing
PROJECT TITLE : Joint Computation Offloading and Bandwidth Assignment in Cloud-Assisted Edge Computing ABSTRACT: The process of augmenting the computational capabilities of mobile devices with limited resources by offloading computation
PROJECT TITLE : Message-Passing-Based Joint User Association and Time Allocation for Wireless Powered Communication Networks ABSTRACT: A joint design of user association and time allocation for wirelessly powered communication
PROJECT TITLE : Joint detection and matching of feature points in multimodal images ABSTRACT: In this work, we propose a novel architecture for Convolutional Neural Networks (CNNs) for the joint detection and matching of feature

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry