By F. Richard Yu, Victor Leung
With contemporary advances in cellular communique applied sciences, progressively more everyone is gaining access to cloud computing structures utilizing cellular units, comparable to smartphones and drugs. in contrast to conventional cellular computing structures with restricted services, cellular cloud computing makes use of the strong computing and garage assets to be had within the cloud to supply state-of-the-art multimedia and knowledge providers. This ebook discusses the main examine advances in cellular cloud computing platforms. Contributed chapters from major specialists during this box disguise diversified features of modeling, research, layout, optimization, and structure of cellular cloud computing systems.
Advances in cellular Cloud Computing platforms
begins through discussing the heritage, beneficial properties, and to be had provider types of cellular cloud computing. It is going directly to describe a cellular cloud computing method with numerous 3rd celebration cloud cellular media (CMM) companies that provides its companies to a telecom operator. during this state of affairs, the telecom operator acts as dealer which may combine and interchange the assets provided through different CMM carrier prone. next contributed chapters talk about such key study parts as
- Energy-efficient activity execution that reduces the power intake in either cellular units and the cloud
- Design and structure of a Proximity Cloud that gives you low-latency, bandwidth-efficient end-user companies with a world footprint
- Virtual cellular networks in clouds that allow source sharing among a number of cellular community operators
- Software piracy regulate framework in cellular cloud computing platforms designed to avoid cellular software piracy
- Dynamic configuration of cloud radio entry networks (C-RANs) to enhance end-to-end TCP throughput functionality in subsequent new release instant networks
The booklet comprises many helping illustrations and tables in addition to a precious set of references on the finish of every bankruptcy. With this e-book, researchers and practitioners might be well-equipped to develop the learn and improvement during this rising field.
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Therefore, for the second case, we know that the utility function U1M first climbs up with x1 . After reaching the optimal point, it drops down with x1 . Hence, the utility function U1M is a concave function at the first interval, and it is easily to prove the utility function U1M is the concave function at the other intervals. That is to say, for x1 < Fk , the utility function is a concave function without the most K non-diﬀerentiable points at F1 , F2 , . . , Fm , and Fk . , a binary search algorithm and a gradient based algorithm).
25. J. Huang, Z. Li, M. Chiang, and A. K. Katsaggelos. Joint source adaptation and resource allocation for multi-user wireless video streaming. IEEE Trans. CSVT, 18(5):582–595, 2008. 26. Juniper Research. Mobile cloud: Smart device strategies for enterprise and consumer markets 2011-2016. com, July 2011 (accessed July 1, 2015). Mobile Cloud Computing with Telecom Operator Cloud 43 27. R. Kokku, R. Mahindra, H. Zhang, and S. Rangarajan. NVS: A substrate for virtualizing wireless resources in cellular networks.
1 Mobile Application Model . . . . . . . . . . 2 Optimal Computation Energy of Mobile Execution . . . . . . . . . . . . . . . . . . . 3 Optimal Transmission Energy of Cloud Execution . . . . . . . . . . . . . . . . . . . 4 Optimal Application Execution Policy . . . 2 Application as a Linear Chain . . . . . . . . . . . . . 1 System Models and Problem Formulation . . . . . . . . . . . . . . . . . . 2 Characterization of Optimal Solution .
Advances in mobile cloud computing systems by F. Richard Yu, Victor Leung