Automatic Service Discovery in Universal Plug and Play

The home network technologies are taking advantage of the increasingly promising market prospect, thank to the popularity of digital home appliances. To enable control and data transfer among interconnected home network devices, it is necessary to adopt the Universal Plug and Play (UPnP) technology. This technology leverages the Internet technical standards including the Internet Protocol (IP), the Transmission Control Protocol (TCP), the User Datagram Protocol (UDP), the Hypertext Transfer Protocol (HTTP), and the Extensible Markup Language (XML) to provide the automatic across-platform service discovery and the remote control. In addition to the control and the data transfer among networked devices, the UPnP provides the flexible and robust service discovery ability to change the complex network device drive into a simple remote network control.

QoS-Aware Automatic Service Composition:A Graph View

In the research of service composition,it demands efficient algorithms that not only retrieve correct service compositions automatically from thousands of services but also satisfy the quality requirements of different service users.However,most approaches treat these two aspects as two separate problems,automatic service composition and service selection.Although the latest researches realize the restriction of this separate view and some specific methods are proposed,they still suffer from serious limitations in scalability and accuracy when addressing both requirements simultaneously.In order to cope with these limitations and efficiently solve the combined problem which is known as QoS-aware or QoS-driven automatic service composition problem,we propose a new graph search problem,single-source optimal directed acyclic graphs （DAGs）,for the first time.This novel single-source optimal DAGs （SSOD） problem is similar to,but more general than the classical single-source shortest paths （SSSP） problem.In this paper,a new graph model of SSOD problem is proposed and a Sim-Dijkstra algorithm is presented to address the SSOD problem with the time complexity of O（n log n ＋ m） （n and m are the number of nodes and edges in the graph respectively）,and the proofs of its soundness.It is also directly applied to solve the QoS-aware automatic service composition problem,and a service composition tool named QSynth is implemented.Evaluations show that Sim-Dijkstra algorithm achieves superior scalability and efficiency with respect to a large variety of composition scenarios,even more efficient than our worklist algorithm that won the performance championship of Web Services Challenge 2009.

Multi-QoS Aware Automatic Service Composition

Almost all current automatic service composition （ASC） algorithms consider only single nonfunctional requirements, namely quality of service （QoS）, which cannot satisfy the real application. This paper proposes MAT （multi-QoS aware top-K ASC） algorithm to realize the high-efficiency exploring and rank- ing of composition scheme by synthesizing more nonfunctional goals. MAT algorithm explores composition schemes by the sky- line technique based on tape model and ranks these schemes by a modified binary tree. Using Web service challenge （WSC） 2009 dataset, we verify the performance of MAT algorithm and the experimental result is even close to the current fastest ASC algo- rithm considering only single QoS.

Review of Semantic Web Service Composition Based on OWL-S

By analyzing of the existing Web services,an ontology based on OWL is presented,which has rich semantic information,and the service description language OWL-S based on OWL is put forward. OWL-S through IOPE can describe services,can also combine the service,but the method of combination service is not automatic. So a method is presented by using Situation Calculus for automatic service composition based on the OWL-S model. Finally through the example analysis,the method of automatic service combination was validated.