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unitjava

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碎雨尘音

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(1) a lot of things stored in different locations through the central mode is difficult to tap the distributed data.
(2) of Things huge data need real-time processing, the use of a central structure, the central node of the hardware requirements are very high.
(3) take into account data security, data privacy, fault tolerance, business competition, legal constraints, and other aspects, all
With relevant data on the strategy usually is not feasible.
(4)Node resources are limited. Data on the central node of the strategy is not optimized expensive resource transfer. In most cases, the central node does not need all the data, but requires an estimate of some parameters [14]. Therefore, preprocessing the original data in a distributed node, then the necessary information to send to the recipient.
2楼2012-03-29 12:57:36
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unitjava

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3楼2012-03-29 13:14:55
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benmao_mogu

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unitjava: 金币+15, 翻译EPI+1, ★★★★★最佳答案, 谢谢,另请看http://emuch.net/bbs/viewthread.php?tid=4296517 2012-03-30 11:22:30
Compare with common data, The data in Internet of things are always massive, distributive, time-relating and location- relating, also, the sources of data are distinctive and the resources of the joint are limited.
All of the features above bring in numerous problems about central data mining.
The enormous numbers in the internet of things need a real-time processing. So a pretty high demand will be needed if central construction is adopted.
Therefore, it is not a viable strategy to put all the relevant data together considering some aspects on data like, safety, privacy fault-tolerance, commercial competition, restriction of law and others.
The resources of the panel joints are limited. It doesn’t optimize the transition of the expensive resources to lay all the data on the central joint.  In most cases, the central joint doesn’t need all the data, but need to estimate some parameters, therefore, we can preprocess the original data in the distributive joint, then send necessary information to receivers.
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4楼2012-03-30 10:37:44
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