Policies for Web Services

Web services are predominantly used to implement service-oriented architectures (SOA). However, there are several areas such as temporal dimensions, real-time, streaming, or efficient and flexible file transfers where web service functionality should be extended. These extensions can, for example, be achieved by using policies. Since there are often alternative solutions to provide functionality (e.g., different protocols can be used to achieve the transfer of data), the WS-Policy standard is especially useful to extend web services with policies. It allows to create policies to generally state the properties under which a service is provided and to explicitly express alternative properties. To extend the functionality of web services, two policies are introduced in this thesis: the Temporal Policy and the Communication Policy. The temporal policy is the foundation for adding temporal dimensions to a WS-Policy. The temporal policy itself is not a WS-Policy but an independent policy language that describes temporal dimensions of and dependencies between temporal policies and WS-Policies. Switching of protocol dependencies, pricing of services, quality of service, and security are example areas for using a temporal policy. To describe protocol dependencies of a service for streaming, real-time and file transfers, a communication policy can be utilized. The communication policy is a concrete WS-Policy. With the communication policy, a service can expose the protocols it depends on for a communication after its invocation. Thus, a web service client knows the protocols required to support a communication with the service. Therefore, it is possible to evaluate beforehand whether an invocation of a service is reasonable. On top of the newly introduced policies, novel mechanisms and tools are provided to alleviate service use and enable flexible and efficient data handling. Furthermore, the involvement of the end user in the development process can be achieved more easily. The Flex-SwA architecture, the first component in this thesis based on the newly introduced policies, implements the actual file transfers and streaming protocols that are described as dependencies in a communication policy. Several communication patterns support the flexible handling of the communication. A reference concept enables seamless message forwarding with reduced data movement. Based on the Flex-SwA implementation and the communication policy, it is possible to improve usability - especially in the area of service-oriented Grids - by integrating data transfers into an automatically generated web and Grid service client. The Web and Grid Service Browser is introduced in this thesis as such a generic client. It provides a familiar environment for using services by offering the client generation as part of the browser. Data transfers are directly integrated into service invocation without having to perform data transmissions explicitly. For multimedia MIME types, special plugins allow the consumption of multimedia data. To enable an end user to build applications that also leverage high performance computing resources, the Service-enabled Mashup Editor is presented that lets the user combine popular web applications with web and Grid services. Again, the communication policy provides descriptive means for file transfers and Flex-SwAs reference concept is used for data exchange. To show the applicability of these novel concepts, several use cases from the area of multimedia processing have been selected. Based on the temporal policy, the communication policy, Flex-SwA, the Web and Grid Service Browser, and the Service-enabled Mashup Editor, the development of a scalable service-oriented multimedia architecture is presented. The multimedia SOA offers, among others, a face detection workflow, a video-on-demand service, and an audio resynthesis service. More precisely, a video-on-demand service describes its dependency on a multicast protocol by using a communication policy. A temporal policy is then used to perform the description of a protocol switch from one multicast protocol to another one by changing the communication policy at the end of its validity period. The Service-enabled Mashup Editor is used as a client for the new multicast protocol after the multicast protocol has been switched. To stream single frames from a frame decoder service to a face detection service (which are both part of the face detection workflow) and to transfer audio files with the different Flex-SwA communication patterns to an audio resynthesis service, Flex-SwA is used. The invocation of the face detection workflow and the audio resynthesis service is realized with the Web and Grid Service Browser

A Service-Oriented Approach for Network-Centric Data Integration and Its Application to Maritime Surveillance

Maritime-surveillance operators still demand for an integrated maritime picture better supporting international coordination for their operations, as looked for in the European area. In this area, many data-integration efforts have been interpreted in the past as the problem of designing, building and maintaining huge centralized repositories. Current research activities are instead leveraging service-oriented principles to achieve more flexible and network-centric solutions to systems and data integration. In this direction, this article reports on the design of a SOA platform, the Service and Application Integration (SAI) system, targeting novel approaches for legacy data and systems integration in the maritime surveillance domain. We have developed a proof-of-concept of the main system capabilities to assess feasibility of our approach and to evaluate how the SAI middleware architecture can fit application requirements for dynamic data search, aggregation and delivery in the distributed maritime domain

High-Performance Cloud Computing: A View of Scientific Applications

Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by using high-performance computing solutions and installed facilities such as clusters and super computers, which are difficult to setup, maintain, and operate. Cloud computing provides scientists with a completely new model of utilizing the computing infrastructure. Compute resources, storage resources, as well as applications, can be dynamically provisioned (and integrated within the existing infrastructure) on a pay per use basis. These resources can be released when they are no more needed. Such services are often offered within the context of a Service Level Agreement (SLA), which ensure the desired Quality of Service (QoS). Aneka, an enterprise Cloud computing solution, harnesses the power of compute resources by relying on private and public Clouds and delivers to users the desired QoS. Its flexible and service based infrastructure supports multiple programming paradigms that make Aneka address a variety of different scenarios: from finance applications to computational science. As examples of scientific computing in the Cloud, we present a preliminary case study on using Aneka for the classification of gene expression data and the execution of fMRI brain imaging workflow.Comment: 13 pages, 9 figures, conference pape

Panel on future challenges in modeling methodology

This panel paper presents the views of six researchers and practitioners of simulation modeling. Collectively we attempt to address a range of key future challenges to modeling methodology. It is hoped that the views of this paper, and the presentations made by the panelists at the 2004 Winter Simulation Conference will raise awareness and stimulate further discussion on the future of modeling methodology in areas such as modeling problems in business applications, human factors and geographically dispersed networks; rapid model development and maintenance; legacy modeling approaches; markup languages; virtual interactive process design and simulation; standards; and Grid computing