The KLU faculty, post-docs, and PhD candidates regularly publish the results of their research in scientific journals. You will find a complete overview of all KLU publications below (e.g. articles in peer-reviewed journals, professional journals, books, working papers, and conference proceedings). Search for relevant terms and keywords, or filter the list by name, year of publication or type of publication. The references include DOIs and abstracts where available, and you can download them to your own reference database or platform. We regularly update the database with new publications.
Momotko, Mariusz, Michał Gajewski, André Ludwig, Ryszard Kowalczyk, Marek Kowalkiewicz and Jian Ying Zhang (2006): Towards Adaptive Management of QoS-Aware Service Compositions – Functional Architecture, in: Hutchison, David, Asit Dan, Gerhard Weikum, Moshe Y. Vardi, Dough Tygar, Demetri Terzopoulos, Madhu Sudan, Bernhard Steffen, C. Pandu Rangan, Oscar Nierstrasz, Moni Naor, John C. Mitchell, Friedemann Mattern, Jon M. Kleinberg, Josef Kittler, Takeo Kanade and Winfried Lamersdorf (ed.): Service-Oriented Computing – ICSOC 2006, Springer Berlin Heidelberg: Berlin, Heidelberg, 637-649.
Abstract: Service compositions enable users to realize their complex needs as a single request. Despite intensive research, especially in the area of business processes, web services and grids, an open and valid question is still how to manage service compositions in order to satisfy both functional and non-functional requirements as well as adapt to dynamic changes. In this paper we propose an (functional) architecture for adaptive management of QoS-aware service compositions. Comparing to the other existing architectures this one offers two major advantages. Firstly, this architecture supports various execution strategies based on dynamic selection and negotiation of services included in a service composition, contracting based on service level agreements, service enactment with flexible support for exception handling, monitoring of service level objectives, and profiling of execution data. Secondly, the architecture is built on the basis of well know existing standards to communicate and exchange data, which significantly reduces effort to integrate existing solutions and tools from different vendors. A first prototype of this architecture has been implemented within an EU-funded Adaptive Service Grid project.