scholarly journals Service Oriented Computing in Practice: An Agenda for Research into the Factors Influencing the Organizational Adoption of Service Oriented Architectures

2009 ◽  
Vol 4 (1) ◽  
Author(s):  
Haresh Luthria ◽  
Fethi Rabhi
Keyword(s):  
Organizational Adoption ◽  
Service Oriented Architectures ◽  
Service Oriented Computing ◽  
Factors Influencing ◽  
Service Oriented

Designing Enterprise Applications Using Model-Driven Service-Oriented Architectures

2011 ◽  
pp. 132-155 ◽  
Author(s):  
Marten van Sinderen ◽  
João Paulo Andrade Almeida ◽  
Luís Ferreira Pires ◽  
Dick Quartel
Keyword(s):  
Business Processes ◽  
Continuous Change ◽  
Service Oriented Architectures ◽  
Model Driven ◽  
Software Complexity ◽  
Service Oriented Computing ◽  
Management Group ◽  
Enterprise Applications ◽  
Service Oriented ◽  
Common Goals

This chapter aims at characterizing the concepts that underlie a model-driven service-oriented approach to the design of enterprise applications. Enterprise applications are subject to continuous change and adaptation since they are meant to support the dynamic arrangement of the business processes of an enterprise. Service-oriented computing (SOC) promises to deliver the methods and technologies to facilitate the development and maintenance of enterprise applications. The model-driven architecture (MDA), fostered by the Object Management Group (OMG), is increasingly gaining support as an approach to manage system and software complexity in distributed-application design. Service-oriented computing and the MDA have some common goals; namely, they both strive to facilitate the development and maintenance of distributed enterprise applications, although they achieve these goals in different ways. This chapter discusses a combination of these approaches and discusses the benefits of this combination.

Bridging Together Mobile and Service-Oriented Computing

2009 ◽  
pp. 3212-3221
Author(s):  
Loreno Oliveira ◽  
Emerson Loureiro ◽  
Hyggo Almeida ◽  
Angelo Perkusich
Keyword(s):  
Mobile Devices ◽  
Pervasive Computing ◽  
Essential Elements ◽  
Smart Spaces ◽  
New Paradigm ◽  
Dynamic Binding ◽  
Service Oriented Architectures ◽  
Service Oriented Computing ◽  
Use Of Services ◽  
Service Oriented

The growing popularity of powerful mobile devices, such as modern cellular phones, smart phones, and PDAs, is enabling pervasive computing (Weiser, 1991) as the new paradigm for creating and interacting with computational systems. Pervasive computing is characterized by the interaction of mobile devices with embedded devices dispersed across smart spaces, and with other mobile devices on behalf of users. The interaction between user devices and smart spaces occurs primarily through services advertised on those environments. For instance, airports may offer a notification service, where the system registers the user flight at the checkin and keeps the user informed, for example, by means of messages, about flight schedule or any other relevant information. In the context of smart spaces, service-oriented computing (Papazoglou & Georgakopoulos, 2003), in short SOC, stands out as the effective choice for advertising services to mobile devices (Zhu, Mutka, & Ni, 2005; Bellur & Narendra, 2005). SOC is a computing paradigm that has in services the essential elements for building applications. SOC is designed and deployed through service-oriented architectures (SOAs) and their applications. SOAs address the flexibility for dynamic binding of services, which applications need to locate and execute a given operation in a pervasive computing environment. This feature is especially important due to the dynamics of smart spaces, where resources may exist anywhere and applications running on mobile clients must be able to find out and use them at runtime. In this article, we discuss several issues on bridging mobile devices and service-oriented computing in the context of smart spaces. Since smart spaces make extensive use of services for interacting with personal mobile devices, they become the ideal scenario for discussing the issues for this integration. A brief introduction on SOC and SOA is also presented, as well as the main architectural approaches for creating SOC environments aimed at the use of resource-constrained mobile devices.

A Two Phases Self-healing Framework for Service-oriented Systems

2021 ◽  
Vol 15 (2) ◽  
pp. 1-25
Author(s):  
Amal Alhosban ◽  
Zaki Malik ◽  
Khayyam Hashmi ◽  
Brahim Medjahed ◽  
Hassan Al-Ababneh
Keyword(s):  
Web Services ◽  
A Priori ◽  
Fault Management ◽  
Service Selection ◽  
Exception Handling ◽  
Self Healing ◽  
Service Oriented Architectures ◽  
Service Oriented ◽  
Improved Performance ◽  
High Level

Service-Oriented Architectures (SOA) enable the automatic creation of business applications from independently developed and deployed Web services. As Web services are inherently a priori unknown, how to deliver reliable Web services compositions is a significant and challenging problem. Services involved in an SOA often do not operate under a single processing environment and need to communicate using different protocols over a network. Under such conditions, designing a fault management system that is both efficient and extensible is a challenging task. In this article, we propose SFSS, a self-healing framework for SOA fault management. SFSS is predicting, identifying, and solving faults in SOAs. In SFSS, we identified a set of high-level exception handling strategies based on the QoS performances of different component services and the preferences articled by the service consumers. Multiple recovery plans are generated and evaluated according to the performance of the selected component services, and then we execute the best recovery plan. We assess the overall user dependence (i.e., the service is independent of other services) using the generated plan and the available invocation information of the component services. Due to the experiment results, the given technique enhances the service selection quality by choosing the services that have the highest score and betters the overall system performance. The experiment results indicate the applicability of SFSS and show improved performance in comparison to similar approaches.

DESIGN OF DECOUPLED CLINICAL DECISION SUPPORT FOR SERVICE-ORIENTED ARCHITECTURES

2009 ◽  
Vol 19 (02) ◽  
pp. 159-183 ◽  
Author(s):  
JENS WEBER-JAHNKE
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Service Oriented Architecture ◽  
Empirical Evaluation ◽  
Cost Savings ◽  
Clinical Decision ◽  
Service Oriented Architectures ◽  
Distributed Services ◽  
Service Oriented ◽  
Computer Based

Computer-based clinical decision support (CDS) contributes to cost savings, increased patient safety and quality of medical care. Most existing CDS systems are stand-alone products (first generation) or part of complete electronic medical record packages (second generation). Experience shows that creating and maintaining CDS systems is expensive and requires effort that should be economized by sharing them among multiple users. It makes good economic sense to share CDS service installations among a larger set of client systems. The paradigm of a service-oriented architecture (SOA) embraces this idea of sharing distributed services. Some attempts making CDS services available to distributed health information systems exist. However, these approaches have not gained much adoption. We argue that they do not provide a sufficient level of decoupling between client and CDS in order to be broadly reusable in SOAs. In this paper, we present a new CDS service component called EGADSS, which has been designed and implemented with the declared objective to minimize the coupling between client and CDS server. We present our key design decisions, which are guided by empirical research in SOA development. We evaluate our result theoretically by measuring the level of decoupling achieved compared to existing CDS approaches. Furthermore, we report on an empirical evaluation of the resulting design, integrating the EGADSS service with an example client system.

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