A Service-Oriented Computing Platform

In Service-Driven Computing, the client-server architecture describes the relationship of cooperating programs in a distributed application. The providers of a resource or service execute workloads submitted by service requestors. Web service, Grid, and Cloud Computing technologies are based on the client-server architecture. A true service-oriented architecture describes everything, anywhere, anytime as a service. This chapter presents the SORCER (Service-ORiented Computing EnviRonment) platform, which provides service-oriented modeling or programming or both (mogramming) environments within its operating system that runs front-end service-oriented mograms and dynamically manages corresponding federations of local and remote service providers. The architecture of SORCER is described with the focus on service-oriented mogramming, service context-awareness, and its operating system managing everything as a service type. A case study report illustrates how SORCER is used for a conceptual design of the next generation of efficient supersonic air vehicles.

Design and Usage of a Process-Centric Collaboration Methodology for Virtual Organizations in Hybrid Environments

This article describes a collaboration methodology for virtual organizations where the processes can be automatically executed using a hybrid web service, grid or cloud resources. Typically, the process of deriving executable workflows from process models is cumbersome and can be automated only in part or specific to a particular distributed system. The approach introduced in this paper, exemplified by the construction industry field, integrates existing technology within a process-centric framework. The solution on the basis of a hybrid system architecture in conjunction with semantic methods for consistency saving and the framework for modeling VO processes and their automated transformation and execution are discussed in detail.

A QSQL-Based Service Collaboration Method for Automatic Service Composition, and Optimized Execution

In scientific computing environments such as service grid environments, services are becoming basic collaboration components which can be used to construct a composition plan for scientists to resolve complex scientific problems. However, current service collaboration methods still suffer from low efficiency for automatically building composition plans because of the time-consuming ontology reasoning and incapability in effectively allocating resources to executing such plans. In this chapter, the authors present a QSQL-based collaboration method to support automatic service composition and optimized execution. With this method, for a given query, abstract composition plans can be created in an automatic, semantic, and efficient manner from QSQL (Quick Service Query List) which is dynamically built by previously processing semantic-related computing at service publication stage. Furthermore, concrete service execution instances can be dynamically bound to abstract service composition plans at runtime by comparing their different QoS(Quality of Service) values. Particularly, a concrete collaboration framework is proposed to support automatic service composition and execution. Totally, the authors’ proposed method will not only facilitate e-scientists quickly create composition plans from a large scale of service repository; but also make resource’s sharing more flexible. The final experiment has illustrated the effectiveness of their proposed method.