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All the services large and micro: revisiting industrial practice in services computing


Schermann, Gerald; Cito, Jürgen; Leitner, Philipp (2015). All the services large and micro: revisiting industrial practice in services computing. In: 11th International Workshop on Engineering Service Oriented Applications (WESOA'15), co-located with ICSOC 2015, Goa, India, 16 November 2015 - 16 November 2015.

Abstract

Services computing is both, an academic _eld 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 ow 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 _eld are justi_ed based on industrial practice, and conclude the paper with recommendations for future research that is more aligned with the services industry.

Services computing is both, an academic _eld 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 ow 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 _eld are justi_ed 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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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:16 November 2015
Deposited On:14 Oct 2015 13:41
Last Modified:05 Apr 2016 19:26
Publisher:IEEE
Other Identification Number:merlin-id:12386
Permanent URL: https://doi.org/10.5167/uzh-113358

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