Talks and Poster Presentations (with Proceedings-Entry):
W. Hummer, Ph. Leitner, S. Dustdar:
"WS-Aggregation: Distributed Aggregation of Web Services Data";
Talk: ACM Symposium on Applied Computing (SAC 2011),
TaiChung, Taiwan;
03-21-2011
- 03-24-2011; in: "Proceedings of the 2011 ACM Symposium on Applied Computing (SAC 2011)",
W. Chu, W. Wong, M. Palakal, C. Hung (ed.);
ACM,
(2011),
ISBN: 978-1-4503-0113-8;
1590
- 1597.
English abstract:
Recent trends of Web-based data processing (e.g., service
mashups, Data-as-a-Service) call for techniques to collect
and process heterogeneous data from distributed sources in
a uniform way. In this paper we present WS-Aggregation, a
general purpose framework for aggregation of data exposed
as Web services. WS-Aggregation provides clients with a
single-site interface to execute multi-site queries. The framework
autonomously collects and processes the requested data
using a set of cooperative aggregator nodes. The query distribution
is configurable using strategies, e.g., QoS-based or
location-based. We introduce WAQL as a specialized query
language for Web service data aggregation that is based on
XQuery. 3-way querying is a possibility to optimize requests
by reducing the amount of data transferred between aggregator
nodes. AWeb-based graphical user interface facilitates
composing aggregation requests. Our performance evaluation,
which comprises aggregation scenarios with different
settings, shows the good scalability of WS-Aggregation.
Keywords:
Web Services, Aggregation, Distribution, Query Language
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1145/1982185.1982520
Related Projects:
Project Head Schahram Dustdar:
S-Cube
Created from the Publication Database of the Vienna University of Technology.