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; 2011-03-21 - 2011-03-24; 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.

Web Services, Aggregation, Distribution, Query Language

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Related Projects:
Project Head Schahram Dustdar:

Created from the Publication Database of the Vienna University of Technology.