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Services Computing, IEEE Transactions on

Issue 1 • Date Jan.-March 2009

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Displaying Results 1 - 7 of 7
  • TSC Cloud: Community-Driven Innovation Platform

    Publication Year: 2009 , Page(s): 1 - 2
    Cited by:  Papers (1)
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    Freely Available from IEEE
  • A QoS Control Mechanism to Provide Service Differentiation and Overload Protection to Internet Scalable Servers

    Publication Year: 2009 , Page(s): 3 - 16
    Cited by:  Papers (13)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1228 KB) |  | HTML iconHTML  

    Nowadays, enterprises providing services through Internet often require online services supplied by other enterprises. This entails the cooperation of enterprise servers using Web services technology. The service exchange between enterprises must be carried out with a determined level of quality, which is usually established in a service level agreement (SLA). However, the fulfilment of SLAs is not an easy task and requires equipping the servers with special control mechanisms which control the quality of the services supplied. The first contribution of this research work is the analysis and definition of the main requirements that these control mechanisms must fulfil. The second contribution is the design of a control mechanism which fulfils these requirements and overcomes numerous deficiencies posed by previous mechanisms. The designed mechanism provides differentiation between distinct categories of service consumers as well as protection against server overloads. Furthermore, it scales in a cluster and does not require any modification to the system software of the host server, or to its application logic. View full abstract»

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  • A Distributed System for Consuming Web Services and Caching Their Responses in MANETs

    Publication Year: 2009 , Page(s): 17 - 33
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3104 KB) |  | HTML iconHTML  

    Due to the widespread of different types of hand-held computing devices whose bandwidth, memory size, and processing capacity are becoming comparable to those of desktop computers, mobile ad-hoc network (MANET) applications can now make use of proven distributed computing paradigms, in particular, web services. Indeed, in MANET environments, mobile computing devices can invoke web services methods to gain access to needed data, like stock quotes, currency exchange rates, etc. However, in addition to the communication costs, device mobility can cause temporary loss of connectivity to the server, thus rendering needed services inaccessible during those periods. For such reasons, caching of web service responses within the MANET can become beneficial for increasing data availability and reducing delays. This paper describes a distributed system designed for MANET environments to cache proxies of consumed web services and responses of their invoked methods. Furthermore, it analyzes the analytical and experimental performance of the system, and demonstrates the savings that could be realized after implementing it. View full abstract»

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  • Configurable Composition and Adaptive Provisioning of Web Services

    Publication Year: 2009 , Page(s): 34 - 49
    Cited by:  Papers (26)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1225 KB) |  | HTML iconHTML  

    Web services composition has been an active research area over the last few years. However, the technology is still not mature yet and several research issues need to be addressed. In this paper, we describe the design of CCAP, a system that provides tools for adaptive service composition and provisioning. We introduce a composition model where service context and exceptions are configurable to accommodate needs of different users. This allows for reusability of a service in different contexts and achieves a level of adaptiveness and contextualization without recoding and recompiling of the overall composed services. The execution semantics of the adaptive composite service is provided by an event-driven model. This execution model is based on Linda Tuple Spaces and supports real-time and asynchronous communication between services. Three core services, coordination service, context service, and event service, are implemented to automatically schedule and execute the component services, and adapt to user configured exceptions and contexts at run time. The proposed system provides an efficient and flexible support for specifying, deploying, and accessing adaptive composite services. We demonstrate the benefits of our system by conducting usability and performance studies. View full abstract»

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  • Identification and Analysis of Business and Software Services—A Consolidated Approach

    Publication Year: 2009 , Page(s): 50 - 64
    Cited by:  Papers (28)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1384 KB) |  | HTML iconHTML  

    Although the benefits of service orientation are prevalent in literature, a review, analysis, and evaluation of the 30 existing service analysis approaches presented in this paper have shown that a comprehensive approach to the identification and analysis of both business and supporting software services is missing. Based on this evaluation of existing approaches and additional sources, we close this gap by proposing an integrated, consolidated approach to business and software service analysis that combines and extends the strengths of the examined methodologies. View full abstract»

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  • Service Mining on the Web

    Publication Year: 2009 , Page(s): 65 - 78
    Cited by:  Papers (18)
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    The Web is transforming from a Web of data to a Web of both Semantic data and services. This trend is providing us with increasing opportunities to compose potentially interesting and useful services from existing services. While we may not sometimes have the specific queries needed in top-down service composition approaches to identify them, the early and proactive exposure of these opportunities will be key to harvest the great potential of the large body of Web services. In this paper, we propose a Web service mining framework that allows unexpected and interesting service compositions to automatically emerge in a bottom-up fashion. We present several mining techniques aiming at the discovery of such service compositions. We also present evaluation measures of their interestingness and usefulness. As a novel application of this framework, we demonstrate its effectiveness and potential by applying it to service-oriented models of biological processes for the discovery of interesting and useful pathways. View full abstract»

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  • A Reference Architecture for Scientific Workflow Management Systems and the VIEW SOA Solution

    Publication Year: 2009 , Page(s): 79 - 92
    Cited by:  Papers (38)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1308 KB) |  | HTML iconHTML  

    Scientific workflows have recently emerged as a new paradigm for scientists to formalize and structure complex and distributed scientific processes to enable and accelerate many scientific discoveries. In contrast to business workflows, which are typically control flow oriented, scientific workflows tend to be dataflow oriented, introducing a new set of requirements for system development. These requirements demand a new architectural design for scientific workflow management systems (SWFMSs). Although several SWFMSs have been developed that provide much experience for future research and development, a study from an architectural perspective is still missing. The main contributions of this paper are: 1) based on a comprehensive survey of the literature and identification of key requirements for SWFMSs, we propose the first reference architecture for SWFMSs; 2) according to the reference architecture, we further propose a service-oriented architecture for View (a VIsual sciEntific Workflow management system); 3) we implemented View to validate the feasibility of the proposed architectures; and 4) we present a View-based scientific workflow application system (SWFAS), called FiberFlow, to showcase the application of our View system. View full abstract»

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Aims & Scope

The scope covers all computing and software aspects of the science and technology of services innovation research and development. IEEE Transactions on Services Computing emphasizes the algorithmic, mathematical, statistical and computational methods that are central in services computing, the emerging field of Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, Services Operations and Management. Specifically, the transactions covers but is not limited to the following topics: Mathematical foundation of Services Computing, Service-Oriented Architecture (SOA), Service creation, development, and management, Linkage between IT services and business services, Web services security and privacy, Web services agreement and contract, Web services discovery and negotiation, Web services management, Web services collaboration, Quality of Service for Web services, Web services modeling and performance management, Solution frameworks for building service-oriented applications, Composite Web service creation and enabling infrastructures, Business and scientific applications using Web services and SOA, Business process integration and management using Web services, Standards and specifications of Services Computing, Utility models and solution architectures, Resource acquisition models in Utility Computing, Mathematical foundation of business process modeling, integration and management, Business process modeling, integration, and collaboration.

Additional Information:

TSC is a scholarly, archival journal published quarterly. 

It is noted that only service-oriented grid computing topics will be covered by TSC. 

Please be sure to visit the TSC Taxonomy List. [Link to http://www.computer.org/portal/web/tsc/taxonomy]

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Ling Liu
Georgia Institute of Technology
lingliu@cc.gatech.edu