Quasi Opportunistic Supercomputing for Geospatial Socially Networked Mobile Devices

Ankush Rai, Sakkaravarthi Ramanathan, R. Kannan
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引用次数: 10

Abstract

due to several reasons such as attentions given to design features and to modification from littler to medium sized system that results in trivial enhancement in performance.In spite of the tremendous achievement of grids which run parallel jobs, there still exists demand of requesting applications to avail opportunistic computing for considering the right selection of prerogative supercomputers. The objective of this research is to build a framework for on the fly computational commencing on socially convolved terrestrial grids to facilitate the sharing of computing workload over wireless networks as virtual supercomputers of unprecedented power. This will assist computing in heterogeneously interconnected mobile assets, Internet of Things, in crowdedscenarios for variable ranges like: stadiums, shopping centers, and so forth.
地理空间社交网络移动设备的准机会超级计算
由于一些原因,例如对设计特性的关注,以及从小型系统到中型系统的修改,导致性能的微不足道的增强。尽管网格并行作业取得了巨大的成就,但仍然存在请求应用程序利用机会计算来考虑特权超级计算机的正确选择的需求。本研究的目的是为从社会复杂的地面网格开始的动态计算建立一个框架,以促进无线网络上计算工作量的共享,作为空前强大的虚拟超级计算机。这将有助于计算异构互连的移动资产,物联网,在拥挤的场景中可变范围,如体育场,购物中心等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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