Peer-to-Peer Query Processing over Multidimensional Data
Synopsis
Applications that require a high degree of distribution and loosely-coupled connectivity are ubiquitous in various domains, including scientific databases, bioinformatics, and multimedia retrieval. In all these applications, data is typically voluminous and multidimensional, and support for advanced query operators is required for effective querying and efficient processing. To address this challenge, we adopt a hybrid P2P architecture and propose novel indexing and query processing algorithms. We present a scalable framework that relies on data summaries that are distributed and maintained as multidimensional routing indices. Different types of data summaries enable efficient processing of a variety of advanced query operators.
Book details
- Edition:
- 2012
- Series:
- SpringerBriefs in Computer Science
- Author:
- Akrivi Vlachou, Christos Doulkeridis, Kjetil Nørvåg, Yannis Kotidis
- ISBN:
- 9781461421108
- Related ISBNs:
- 9781461421092
- Publisher:
- Springer New York
- Pages:
- N/A
- Reading age:
- Not specified
- Includes images:
- No
- Date of addition:
- 2020-12-29
- Usage restrictions:
- Copyright
- Copyright date:
- 2012
- Copyright by:
- N/A
- Adult content:
- No
- Language:
-
English
- Categories:
-
Communication, Computers and Internet, Nonfiction, Technology