Please use this identifier to cite or link to this item:
Title: Efficient service data management in dynamic environment
Authors: Xiaoling, W.
Aoying, Z.
Guimei, L. 
Issue Date: 2007
Citation: Xiaoling, W., Aoying, Z., Guimei, L. (2007). Efficient service data management in dynamic environment. Proceedings - 2007 IEEE International Conference on Web Services, ICWS 2007 : 1040-1047. ScholarBank@NUS Repository.
Abstract: With the increasing service-oriented applications, efficient service data management is becoming a practical and important issue. Currently, most exchange messages among different web services is SOAP, which is represented by XML-formatted data. So, the main task of service data management is to manage XML format message files in order to provide efficient store and query for service requestors. Storing XML documents in relational databases has drawn much attention in recent years because it can leverage existing investments in relational database technologies. However, most former work defines relational schema for XML files based on heuristics without considering application characteristics, hence fails to produce efficient relational schema for various applications. In this paper, we propose an autonomic, workload-aware approach to generate relational schema according to dynamic application characteristics or user specified workload. Our approach adopts the genetic algorithm to find optimal mappings, and an elegant encoding method and related operations are proposed to manipulate mappings using bit strings. We implemented the proposed algorithm and our preliminary experiment results showed that our algorithm was more robust, more suitable for dynamic SOA applications and produced better relational schema than existing work. © 2007 IEEE.
Source Title: Proceedings - 2007 IEEE International Conference on Web Services, ICWS 2007
ISBN: 0769529240
DOI: 10.1109/ICWS.2007.82
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Feb 18, 2019

Page view(s)

checked on Feb 9, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.