Big Data Resource Discovery Considering Semantics in Grid Environment
نویسندگان
چکیده
Nowadays, everybody talks about the famous phenomenon called ‘Big Data’. No one can escape this term particularly when we talk about large-scale distributed databases, i.e., data grid environment. Resource discovery (data source discovery) is an important step in the management, integration and querying of big data. The addressing protocol adopted for this discovery should respect not only the properties of hardware and software environment (evolution, dynamicity, scalability...) but also big data’s properties (volume, variety, velocity...). We propose in this paper an addressing system for big data resource discovery taking into account semantics in grid environment.
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