Bitmap Indexing : Energy Applications and Improvements Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/r494vp263

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  • Large databases and data warehouses are becoming prevalent for the storage and management of energy data. Accelerating the rates at which data can be retrieved is beneficial not only to allow for more efficient search of the data, but also to be integrated with other energy system tools. In this work, a fast indexing and data retrieval method, known commonly as a bitmap index, is created to facilitate intelligent querying and indexing of data generated by phasor measurement units (PMU) at a rate of 60 Hz. In addition, compression of these bitmap indexes is parallelized, and the performance quality of bitmaps created over this dynamic database are tested. We find that bitmaps are amenable to managing efficient access to large amounts of PMU data. Furthermore, the bitmap-management process will provide decreased access time for data retrieval as well as decreased memory usage. From these experiments, we are able to improve compression times while discovering new research opportunities, decrease access times to the PMU database by 30 times the conventional method currently utilizes, and introduce a feasible method for bitmap operations over a dynamic database.
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  • description.provenance : Made available in DSpace on 2015-07-08T18:05:44Z (GMT). No. of bitstreams: 2 license_rdf: 1379 bytes, checksum: da3654ba11642cda39be2b66af335aae (MD5) McCamishBenjaminJ2015.pdf: 2073516 bytes, checksum: 919841b01da56b8b3301b0d12c4809d0 (MD5) Previous issue date: 2015-06-11
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