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1 |
An interactive smart grid communication approach for big data traffic
یک رویکرد ارتباطی شبکه هوشمند تعاملی برای ترافیک داده های بزرگ-2018 As smart grid technologies begin to mature, the kinds of electrical devices have grown
increasingly popular. Powerful computing capacity is required to analyze the power data
fetched from electronic devices to recognize the device status for smarter applications of
tomorrow. To ensure the accuracy and reliability of the analysis results, all the power data
has to be uploaded to the cloud data center. This means that the cloud data center must
take the extra data transmission load from the electronic devices simultaneously. The de
velopment of a lightweight communication approach for big data traffic that can prevent
or quickly respond to the occurrence of network congestion presents an interesting chal
lenge with respect to computing power and bandwidth limits. The main purpose of this
study is to design an adaptive dynamic eigenvalue transmission approach that can dy
namically minimize the uploaded power data through the intersection dynamic eigenvalue
decision-making model, to achieve the optimal benefit between the transmission load and
analysis accuracy.
Keywords: Interactive communication ، Smart grid ، Big data traffic ، Electrical devices ، Cloud center |
مقاله انگلیسی |
2 |
Communication Cost Efficient Virtualized Network Function Placement for Big Data Processing
Communication Cost Efficient Virtualized Network Function Placement for Big Data Processing-2016 The data explosion in the emerging big data era
imposes a big burden on the network infrastructure. This vision
has urged the evolution of computer networks. By softwarizing
traditional dedicated hardware based functions to virtualized
network function (VNF) that can run on standard commodity servers, network function virtualization (NFV) technology
promises increased networking efficiency, flexibility and scalability. From the perspective of network service providers, with the
consideration of big data traffic volume, one primary concern is
on the communication cost, which is highly influenced by the VNF
placement strategy. In this paper, we are motivated to investigate
the issue on communication cost efficient VNF placement problem
for big data processing, with joint consideration of network flow
balancing and the predetermined network service semantics. We
formulate this problem into a mixed-integer linear programming
(MILP) form and then propose a low-complexity relaxationbased heuristic algorithm accordingly. The high efficiency of our
proposal is validated by extensive simulation studies.
Keywords: Noise measurement | Big data | Distributed databases | Algorithm design and analysis | Servers | Heuristic algorithms | Semantics |
مقاله انگلیسی |