Advertisement
Published in:
2013 | OriginalPaper | Chapter
Adaptive Query Processing in Distributed Settings
Authors : Anastasios Gounaris, Efthymia Tsamoura, Yannis Manolopoulos
Published in: Advanced Query Processing
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In this survey chapter,we discuss adaptive query processing (AdQP) techniques for distributed environments. We also investigate the issues involved in extending AdQP techniques originally proposed for single-node processing so that they become applicable to multi-node environments as well. In order to make it easier for the reader to understand the similarities among the various proposals, we adopt a common framework, which decomposes the adaptivity loop into the monitoring, analysis, planning and actuation (or execution) phase. The main distributed AdQP techniques developed so far tend to differ significantly from their centralized counterparts, both in their objectives and in their focus. The objectives in distributed AdQP are more tailored to distributed settings, whereas more attention is paid to issues relating to the adaptivity cost, which is significant, especially when operators and data are moved over the network.