Characterisation Of Data Set Features For Storage Space Optimisation Using Functional Dependency

Nurul Akmar, Emran and Noraswaliza, Abdullah and Nuzaimah, Mustafa (2013) Characterisation Of Data Set Features For Storage Space Optimisation Using Functional Dependency. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Within data intensive applications, data volumes often be large enough for storage space requirements to become an issue that must be dealt by data centre providers. The growth of data volumes calls for a way to manage storage space efficiently. One way to manage data storage space is through space optimisation. In order to optimise space, data centre providers need to choose space optimisation method(s) that is useful for the data sets being stored. However, studies on the characteristics of data sets that will be useful for space optimisation is limited even though such information is crucial in designing space optimisation strategy. We argue that, if we could determine the characteristics of data sets that are useful (or less useful) for space optimisation, data centre providers could make guided decision in implementing their space optimisation strategy. This research focuses on investigating the characteristics of data sets for space optimisation using functional dependency technique. The contribution of this research is the result of the experiment and the analysis conducted against real data sets for a space optimisation techniques just mentioned. This research concludes with the characteristics of data set features discovered within the microbial genomics data sets.

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