Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study

PROJECT TITLE :

Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for Big Data stream Mobile Computing: review, challenges, and a case study

ABSTRACT:

Huge knowledge stream Mobile Computing is proposed as a paradigm that depends on the convergence of broadband Web mobile NetWorking and real-time mobile Cloud Computing. It aims at fostering the increase of novel self-configuring integrated computing-Communication platforms for enabling in real time the offloading and processing of big information streams acquired by resource-restricted mobile/wireless devices. This position article formalizes this paradigm, discusses its most significant application opportunities, and descriptions the key challenges in performing real-time energy-efficient management of the distributed resources offered at both mobile devices and.Net-connected knowledge centers. The performance analysis of a little-scale prototype is additionally included so as to produce insight into the energy vs. performance tradeoff that is achievable through the optimized style of the resource management modules. Performance comparisons with some state-of-the-art resource managers corroborate the discussion. Hints for future research directions conclude the article.

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