A Semantic Based Scheduling Algorithm for Data Intensive Applications on Global Cloud

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Provided by: International Journal of Engineering Trends and Technology
Topic: Cloud
Format: PDF
Due to the increasing size of data intensive applications, the datasets are need to be stored in a distributed manner and multiple copies of data sets has to be replicated to provide easier access to the cloud applications. In these kinds of systems, scheduling is a key challenge because of the location of data and heterogeneity of a node by holding multiple types of data sets in the same location. The authors propose a promising technique to schedule the cloud applications, using semantic based classification.
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