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Nt1330 Unit 1 Data Analysis Paper

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With this technique, the clients start with the single time interval so we will go and pull every T seconds and if a certain number of the request will come back with no updates. The client will automatically switch to a new polling rate like 2T so it will have to wait for twice as long to send the next request, rather than waiting for e.g. 3 seconds it will wait now for 6 seconds. Similarly, if some number of request come back empty then the client will automatically see its wasting resources on the server so it will switch over to a new model for E.g. 4T and continue to increase. Typically, it’s an exponential increase in the time between responses from the request. In the technique client can begin adaptively tapering of its request to the server because it seems there is not a lot of updates of interests to the client and typically there is some closing to this update link, so at some point you maybe get an hour between updates and the client will no longer will update any faster up until the point that it gets some results back and in which case it can switch back to more rapid polling rate so once you do get something back the polling rate will go back to lower polling rate and continuously check to see if updates are coming, in that case, you should know about. So this model really tries to adapt and improve the resource utilization on the server by possessing the client only poll when things are happening on the server and client can detect.

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