Auflistung nach Autor:in "Nguyen, Xuan Thang"
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- KonferenzbeitragA Capability Oriented Management Approach for Business Integration(Business process and services computing – 1st international working conference on business process and services computing – BPSC 2007, 2007) Pulvermueller, Elke; Ludwig, André; Belter, Roman; Zyskowski, Dominik; Heindl, Ulrich; Nguyen, Xuan ThangService oriented architecture (SOA) has emerged as a popular software paradigm for integrating distributed applications. Services are generally regarded as interoperable building blocks for constructing, integrating, and merging applications. However, existing SOA based solutions often focus on solving technical integration problems while neglecting business-level capabilities which are most important for organizations. In this paper, we introduce the notion of capabilities as an important concept for business management. We identify major shortcomings of the existing service based solutions and outline a novel approach for capability oriented configu- ration and management that can react to the dynamically changing nature of business integration environments.
- KonferenzbeitragModelling and solving QoS composition problem using DisCSP(NODe 2006 – GSEM 2006, 2006) Nguyen, Xuan Thang; Kowalczyk, Ryszard; Phan, Khoi AnhWeb services have emerged as a popular technology for integrating distributed applications. A Web service composition is a description of how different Web services can interoperate in order to perform more complex tasks. QoS for composite Web services has attracted interests from both research and industrial communities. In this paper, we propose an agent-based solution for the QoS composition problem using Distributed Constraint Satisfaction Problem (DisCSP) techniques. We show that by using the composition structures, local constraints can be constructed and used with DisCSP. We also present an enhancement of the Asynchronous Aggregate Search (AAS) algorithm to solve the problem and discuss our initial experiment in building a multi-agent system to prove the feasibility of our approach.