Open Access
Software-Defined Networking: A Comprehensive Survey
Jim Esch
- Vol. 103, pp 10-13
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The article was published on 2015-01-01 and is currently open access. It has received 1142 citations till now. The article focuses on the topics: Software-defined networking.read more
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Data mining with big data
TL;DR: A HACE theorem is presented that characterizes the features of the Big Data revolution, and a Big Data processing model is proposed, from the data mining perspective, which involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations.
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Thinking Fast and Slow: Optimization Decomposition Across Timescales
TL;DR: This work seeks to provide a theoretical framework for how to design controllers that are decomposed across timescales in this way, and exhibits a design, named Multi-timescale Reflexive Predictive Control (MRPC), which maintains a per-timestep cost within a constant factor of the offline optimal in an adversarial setting.
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Internet of Things in the 5G Era: Enablers, Architecture, and Business Models
Maria Rita Palattella,Mischa Dohler,Alfredo Grieco,Gianluca Rizzo,Johan Torsner,Thomas Engel,Latif Ladid +6 more
TL;DR: The present paper analyzes in detail the potential of 5G technologies for the IoT, by considering both the technological and standardization aspects and illustrates the massive business shifts that a tight link between IoT and 5G may cause in the operator and vendors ecosystem.
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Ultra-Dense Networks: A Survey
TL;DR: This paper provides a survey-style introduction to dense small cell networks and considers many research directions, namely, user association, interference management, energy efficiency, spectrum sharing, resource management, scheduling, backhauling, propagation modeling, and the economics of UDN deployment.
Journal ArticleDOI
Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network
TL;DR: This paper investigates the task offloading problem in ultra-dense network aiming to minimize the delay while saving the battery life of user’s equipment and proposes an efficient offloading scheme which can reduce 20% of the task duration with 30% energy saving.