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Issue No.02 - April-June (2010 vol.3)
pp: 86-88
Published by the IEEE Computer Society
Introduction
The services industry is one of the most important and fast-growing fields in computing. Businesses are rapidly becoming aware of the ubiquitous presence and significant advantages of service-oriented computing and supply chains. However, the heterogeneity of online businesses and their applications makes interoperability, an essential requirement for business globalization, a huge challenge. Many businesses, such as Amazon.com, United Airlines, and Motorola, have implemented or transformed their online business applications into Web Services using a variety of service infrastructures provided by vendors including IBM, SAP, Microsoft, Oracle, and BEA. As a result, the Internet is shifting from a repository of data to a repository of services. Gartner predicts that the worldwide Software as a Service (SaaS) market will grow from $6.3 billion in 2006 to $19.3 billion by the end of 2011.
Services Computing is a rapidly emerging discipline that aims to enable efficient and effective interaction and collaboration among heterogeneous, distributed business services. Web Services promote abstraction, loose coupling, and interoperability among services. By allowing components to be decoupled using specified interfaces, service-oriented computing enables platform-independent integration. These new integration possibilities are valuable for constructing today's interoperable, large-scale, complex software-intensive systems that help make businesses more agile. With Web Services as an effective enabling technology and Service-Oriented Architecture (SOA) as the central architectural model, Services Computing leverages computing, service standards, and information technology to model, create, operate, and manage critical business transactions as defined and managed flows of services. Web Services are increasingly implemented and deployed as an effective means to create and streamline processes and collaborations among governments, businesses, and individuals.
With such ubiquitous and powerful capabilities found in Services Computing, businesses are posed to move many of their enterprise-critical systems to SOA environments. However, many remain hesitant due to important open questions on security, performance, provenance, governance, reliability, sustainability, and stakeholder acceptance issues. Thus, the need for more research, education, and training on Services Computing is vital before business adoption and the full impacts of Services Computing can be achieved. The papers published in this special issue fill a critical research gap by investigating models and techniques for the design and implementation of service-oriented systems for the business enterprise.
2. Modeling and Implementation in Services Computing: Special Issue Papers
This special issue focuses on the modeling and implementation issues of enterprise service systems. Out of 25 submissions, five papers were eventually accepted after an initial screening and then two to three rounds of review and revisions. Together, these five articles advance our understanding of planning, designing, maintaining, monitoring, delivering, and reusing services in enterprise information systems. A brief overview of these papers is given below.
"The Impact of Service Cohesion on the Analyzability of Service-Oriented Software" by Mikhail Perepletchikov, Caspar Ryan, and Zahir Tari studies how Services Computing helps improve software maintainability as more agile businesses allow their processes and rules to change more frequently. In particular, it focuses on the impact of service cohesion on the analyzability subcharacteristic of maintainability. Their work extends existing notions of cohesion in the procedural and object-oriented modeling paradigms, thereby supporting the derivation of design-level software metrics for quantifying the degree of service cohesion. The work also theoretically validates the proposed metrics with an empirical evaluation using a controlled study to predict analyzability in the Software Development Life Cycle. The practical applicability of such metrics is to support the development of service-oriented systems that can be analyzed and maintained more easily.
In "An Autonomic Service Delivery Platform for Service-Oriented Network Environments," Robert Callaway, Michael Devetsikiotis, Yannis Viniotis, and Adolfo Rodriguez propose a new autonomic service delivery platform in service-oriented network environments by enabling a self-optimizing infrastructure that balances the goals of maximizing the business value and the optimal utilization of IT resources. It is a novel idea to integrate several theoretical and practical techniques from networking, microeconomics, and service-oriented computing to create a fully-distributed service delivery platform. The principal component of the platform is a utility-based cooperative service routing protocol that disseminates congestion-based prices among intermediaries to enable the dynamic routing of service requests from consumers to providers. The authors discuss the underlying analytical framework for the service routing protocol as well as key methodologies which together provide a robust framework for the service delivery platform aligned with the next generation of middleware and telecommunications architectures. The paper provides numerical results that demonstrate the ability of the platform to provide optimal routing of service requests.
In "Template-Based Adaptation of Semantic Web Services with Model-Driven Engineering," Athanasios Staikopoulos, Owen Cliffe, Razvan Popescu, Julian Padget, and Siobhán Clarke advocate the importance of developing service applications that are inherently flexible and adaptive and are supported by appropriate infrastructures. In their article, the authors propose a model-driven approach for the dynamic adaptation of Web Services based on ontology-aware service templates. At a higher level of abstraction than concrete Web Service implementations, model-driven service engineering leads to more flexible and automated adaptations through template designs and transformations using ontological semantics to enhance the service matching capabilities required by the dynamic adaptation process. Their service templates are based on OWL-S descriptions and provide the necessary means to capture and parameterize specific behavior patterns of service models. The proposed approach is applied to illustrate how the proposed framework supports the adaptation of the authentication mechanism used by an interactive tourist recommendation system.
As illustrated in "An Integrated Workbench for Model-Based Engineering of Service Compositions," Howard Foster, Sebastian Uchitel, Jeffrey N. Magee, and Jeffrey Kramer believe that the difficulties in building reusable service components remain an important challenge to service engineers. Engineering the behavior of these services means ensuring that the interactions and obligations are correct and consistent with the policies set out to guide partners in building the correct sequences of interactions to support the functions of one or more services. Hence, checking the suitability of service behavior is complex, particularly when dealing with a composition of services and concurrent interactions. To enable service engineers to design and implement suitable and safe service compositions, the authors present an approach that models service orchestration, choreography behavior, and service deployment through formal semantics. A method for checking these service models is provided in an integrated workbench for the verification and validation of service compositions.
In "From Software Architecture Analysis to Service Engineering: An Empirical Study of Methodology Development for Enterprise SOA Implementation," Hong-Mei Chen, Rick Kazman, and Opal Perry present an integrated service-oriented enterprise system development framework (called the BITAM-SOA Framework), as well as an instantiated design process model that is a result from a three-year case study with a Fortune 500 company in the financial services industry. The BITAM-SOA framework and schematic advance both business-IT alignment and software architecture analysis techniques toward supporting the engineering of enterprise-wide service-oriented systems—that is, service engineering. The schematic advances the state-of-the-art and contributes to the theory and practice by offering an integrated framework and a methodological scaffold for cross-disciplinary research. The schematic explicitly identifies the multidimensional-technical and social/organizational complexity of enterprise SOA implementation and the continuous governance, communication, change assessment, and architectural realignment required for achieving the organizational agility promised by SOA.

ACKNOWLEDGMENTS

The Guest Editors wish to thank the many researchers who willingly provided reviews for this special issue. The issue would not have been possible without the encouragement and efforts of the editorial staff of IEEE TSC.
Alan R. Hevner
Dongsong Zhang
J. Leon Zhao
Guest Editors

    A.R. Hevner is with the Information Systems and Decision Sciences Department, College of Business, University of South Florida, 4202 East Fowler Ave., CIS1040, Tampa, FL 33620. E-mail: ahevner@usf.edu.

    D. Zhang is with the Department of Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250. E-mail: zhangd@umbc.edu.

    J.L. Zhao is with the Department of Information Systems, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong. E-mail: jlzhao@cityu.edu.hk.

For information on obtaining reprints of this article, please send e-mail to: tsc@computer.org.



Alan Hevner received the PhD degree in computer science from Purdue University. He has held faculty positions at the University of Maryland and the University of Minnesota, and is currently an Eminent Scholar and professor in the Information Systems and Decision Sciences Department in the College of Business at the University of South Florida. He also holds the Citigroup/Hidden River Chair of Distributed Technology. Dr. Hevner's areas of research expertise include information systems development, software engineering, distributed database systems, health care information systems, and service-oriented systems. He has published more than 150 research papers on these topics and has consulted for several Fortune 500 companies. Dr. Hevner is a member of the IEEE, ACM, AIS, and INFORMS. He recently completed an assignment as a program manager in the Computer and Information Science and Engineering directorate at the US National Science Foundation.



Dongsong Zhang received the PhD degree in management information systems from the Eller School of Management at the University of Arizona. He is currently an associate professor in the Department of Information Systems at the University of Maryland, Baltimore County. He His current research interests include mobile HCI, computer-mediated collaboration and communication, knowledge management, and e-services. He has published more than 100 papers in academic journals, conference proceedings, and book chapters, including journals such as MIS Quarterly, the Journal of Management Information Systems, Communications of the ACM, the IEEE Transactions on Knowledge and Data Engineering, the IEEE Transactions on Software Engineering, the IEEE Transactions on Multimedia, the IEEE Transactions on Systems, Man, and Cybernetics, and the IEEE Transactions on Professional Communication, among others. He has received research grants and awards from the National Institution of Health, Google Inc., and the Chinese Academy of Sciences.



J. Leon Zhao received the BS degree from the Beijing Institute of Agricultural Mechanization, the MS degree in engineering from University of California, Davis, and the MS and PhD degrees from the Haas School of Business, University of California, Berkeley. He is currently the head and chair professor in the Information Systems Department at the City University of Hong Kong. He was previously the interim head and Eller professor in the Department of Management Information Systems at the University of Arizona. His research has been supported by the US National Science Foundation, SAP, and other funding agencies. He has served as an associate editor of Information Systems Research, the ACM Transactions on Management Information Systems, the IEEE Transactions on Services Computing, Decision Support Systems, and Electronic Commerce Research and Applications, among other journals. He has coedited numerous special issues in various information systems journals, including Decision Support Systems and Information Systems Frontiers. He received an IBM Faculty Award in 2005 for his work in business process management and Services Computing and was awarded Chang Jiang Scholar Chair Professorship at Tsinghua University by the Ministry of Education of China in 2009. He has chaired numerous conferences, including the IEEE International Conference on Services Computing in 2006 and 2009, among others. He is a member of the IEEE.
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