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Energy aware cloud workflow applications scheduling with geo distributed data
Author Name

Parakhjain and Lokendra singh Songare

Abstract

When a computation is requested by any system it is distributed to all the slaves existing in thatcloud in cloud computing. So the way in which the distribution is being done must get theresponse from all the slaves at the same time so that there should not be any waiting for anyparticular computing device to reply before further processing could happen. But in the realtime clouds heterogeneous computing devices exists and any process's execution time on theslaveisrequired to beestimated.The main feature in any load balancer is the asymmetric load distribution. A greater ratio ofworkload is to be given to those with higher computation capabilities. But sometimes onlyhigher computation power cannot help in deciding that how much share of the task can beassignedtothatsystem.Assignmentofpropertasktopropersysteminheterogeneouscomputinginfrastructure is donebyload balancer.

Load balancer is also responsible for 'Priority Activation' which means that when the number ofslavecomputingdevicesdropsbelowacertain pointthe load balancer awakesomeof theSleeping devices to maintain the computing performance.

 

Key Words: cloud, Recommendation System, NLP, cloud computing, Research Expertise, Expertise indices



Published On :
2023-01-28

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