- Title
- Performance evaluation on storing and querying database with compression views of distributed environment
- Creator
- Alom, B. M. Monjurul; Henskens, Frans; Hannaford, Michael
- Relation
- International Journal of Computational Science Vol. 3, Issue 4, p. 456-471
- Relation
- http://www.gip.hk/ijcs/v3n4.htm
- Publisher
- Global Information Publisher (H. K.)
- Resource Type
- journal article
- Date
- 2009
- Description
- Management of a rapidly evolving large volume of data in a scalable way in distributed environments is very challenging because the transparency of data is not known to the end-user. Two major aspects of database management are to store and query the data in an efficient way. This paper describes a Multi-Block Compressed Data (MBCD) algorithm to handle large volumes of data, incorporating data compression. We evaluate the performance of our proposed (MBCDS) compressed database structure in a centralized system, comparing it to other existing techniques in terms of time and storage space. The compressed database structure presented provides direct addressability in a distributed environment, thereby reducing retrieval latency when handling large volumes of data. We also develop an updating algorithm for the database structure without recompressing the whole database.
- Subject
- MBCD; fragmentation; domain dictionary; single_vector; EB row; distributed database
- Identifier
- http://hdl.handle.net/1959.13/916731
- Identifier
- uon:8089
- Identifier
- ISSN:1992-6669
- Language
- eng
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