S3: A Service-Oriented Reference Architecture

Arsanjani, Ali; Zhang, Liang-Jie; Ellis, Martin; Allam, A.; Channabasavaiah, K.

doi:10.1109/mitp.2007.53

Cited by 146 publications

(112 citation statements)

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“…While many publications present (more or less sophisticated) case studies (e.g., [17][18][19]), we are not aware of any recent academic publication that systematically validated some of the long-standing assumptions of the research area on a larger and more heterogenious sample of practitioners. Consequently, the research roadmaps of the field (e.g., [14]), as well as reference architectures (e.g., [3]), have historically been driven primarily by academic interests and opinions rather than quantified industrial needs. We argue that this has led to a positive feedback loop for some topics, where many published papers on the topic signified relevance to academics, leading to even more papers on the topic being published, despite little actual industry uptake.…”

Section: Related Workmentioning

confidence: 99%

All the services large and micro: Revisiting industrial practices in services computing

Schermann¹,

Cito²,

Leitner³

2015

Preprint

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Services computing is both, an academic field of study looking back at close to 15 years of fundamental research, as well as a vibrant area of industrial software engineering.Industrial practice in this area is notorious for its ever-changing nature, with the state of the art changing almost on a yearly basis based on the ebb and flow of various hypes and trends. In this paper, we provide a look "across the wall" into industrial services computing. We conducted an empirical study based on the service ecosystem of 42 companies, and report, among other aspects, how service-to-service communication is Abstract. Services computing is both, an academic field of study looking back at close to 15 years of fundamental research, as well as a vibrant area of industrial software engineering. Industrial practice in this area is notorious for its ever-changing nature, with the state of the art changing almost on a yearly basis based on the ebb and flow of various hypes and trends. In this paper, we provide a look "across the wall" into industrial services computing. We conducted an empirical study based on the service ecosystem of 42 companies, and report, among other aspects, how service-to-service communication is implemented, how service discovery works in practice, what Quality-of-Service metrics practitioners are most interested in, and how services are deployed and hosted. We argue that not all assumptions that are typical in academic papers in the field are justified based on industrial practice, and conclude the paper with recommendations for future research that is more aligned with the services industry.

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Section: Related Workmentioning

confidence: 99%

All the services large and micro: Revisiting industrial practices in services computing

Schermann¹,

Cito²,

Leitner³

2015

Preprint

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show abstract

“…The SOA Solution Stack (S3) [3,10] proposed by IBM elaborates the process of SOA applications development and deployment. The S3 model presented in Figure 2 provides a detailed description of architectural elements divided into nine layers.…”

Section: Architecturementioning

confidence: 99%

An Analysis of Methods for Sharing an Electronic Platform of Public Administration Services Using Cloud Computing and Service Oriented Architecture

Hamiga

Jarzab

2012

csci

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“…Business processes play a vital role in Service Oriented Architecture (SOA) [6], which is one of the most important paradigms for implementing enterprise software systems [21]. The Open Group's SOA Reference Architecture and IBM SOA Solution Stack (S3) model [2] places the business process layer near the top of the stack. In this layer, SOA supports application development by introducing composite services which orchestrate the information flow among a set of software services and human actors.…”

Section: Introductionmentioning

confidence: 99%