Multi-query optimization for distributed similarity query processing

Yi Zhuang, Qing Li, Lei Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

This paper considers a multi-query optimization issue for distributed similarity query processing, which attempts to exploit the dependencies in the derivation of a query evaluation plan. To the best of our knowledge, this is the first work investigating a multiquery optimization technique for distributed similarity query processing (0MDSQ). Four steps are incorporated in our MDSQ algorithm. First when a number of query requests(i.e., m query vectors and m radiuses) are simultaneously submitted by users, then a cost-based dynamic query scheduling(DQS) procedure is invoked to quickly and effectively identify the correlation among the query spheres (requests). After that, an index-based vector set reduction is performed at data node level in parallel. Finally, a refinement process of the candidate vectors is conducted to get the answer set. The proposed method includes a cost-based dynamic query scheduling, a Start-Distance(SD)-based load balancing scheme, and an index-based vector set reduction algorithm. The experimental results validate the efficiency and effectiveness of the algorithm in minimizing the response time and increasing the parallelism of I/O and CPU.

Original languageEnglish
Title of host publicationProceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008
Pages639-646
Number of pages8
DOIs
Publication statusPublished - 22 Sept 2008
Externally publishedYes
Event28th International Conference on Distributed Computing Systems, ICDCS 2008 - Beijing, China
Duration: 17 Jul 200820 Jul 2008

Publication series

NameProceedings - The 28th International Conference on Distributed Computing Systems, ICDCS 2008

Conference

Conference28th International Conference on Distributed Computing Systems, ICDCS 2008
Country/TerritoryChina
CityBeijing
Period17/07/0820/07/08

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software

Fingerprint

Dive into the research topics of 'Multi-query optimization for distributed similarity query processing'. Together they form a unique fingerprint.

Cite this