Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 1-31 |
| Journal | Service Oriented Computing and Applications |
| Volume | 11 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2017 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- autonomous systems
- digital ecosystems
- service engineering
- self- features
- quality attributes
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A survey of autonomic computing methods in digital service ecosystems. / Abeywickrama, Dhaminda B. (Corresponding Author); Ovaska, Eila.
In: Service Oriented Computing and Applications, Vol. 11, No. 1, 2017, p. 1-31.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - A survey of autonomic computing methods in digital service ecosystems
AU - Abeywickrama, Dhaminda B.
AU - Ovaska, Eila
PY - 2017
Y1 - 2017
N2 - Service engineering of digital service ecosystems can be associated with several challenges, such as change and evolution of requirements; gathering of quality requirements and assessment; and uncertainty caused by dynamic nature and unknown deployment environment, composition and users. Therefore, the complexity and dynamics in which these digital services are deployed call for solutions to make them autonomic. Until now there has been no upto-date review of the scientific literature on the application of the autonomic computing initiative in the digital service ecosystems domain. This article presents a review and comparison of autonomic computing methods in digital service ecosystems from the perspective of service engineering, i.e., requirements engineering and architecting of services. The review is based on systematic queries in four leading scientific databases and Google Scholar, and it is organized in four thematic research areas. A comparison framework has been defined which can be used as a guide for comparing the different methods selected. The goal is to discover which methods are suitable for the service engineering of digital service ecosystems with autonomic computing capabilities, highlight what the shortcomings of the methods are, and identify which research activities need to be conducted in order to overcome these shortcomings. The comparison reveals that none of the existing methods entirely fulfills the requirements that are defined in the comparison framework.
AB - Service engineering of digital service ecosystems can be associated with several challenges, such as change and evolution of requirements; gathering of quality requirements and assessment; and uncertainty caused by dynamic nature and unknown deployment environment, composition and users. Therefore, the complexity and dynamics in which these digital services are deployed call for solutions to make them autonomic. Until now there has been no upto-date review of the scientific literature on the application of the autonomic computing initiative in the digital service ecosystems domain. This article presents a review and comparison of autonomic computing methods in digital service ecosystems from the perspective of service engineering, i.e., requirements engineering and architecting of services. The review is based on systematic queries in four leading scientific databases and Google Scholar, and it is organized in four thematic research areas. A comparison framework has been defined which can be used as a guide for comparing the different methods selected. The goal is to discover which methods are suitable for the service engineering of digital service ecosystems with autonomic computing capabilities, highlight what the shortcomings of the methods are, and identify which research activities need to be conducted in order to overcome these shortcomings. The comparison reveals that none of the existing methods entirely fulfills the requirements that are defined in the comparison framework.
KW - autonomous systems
KW - digital ecosystems
KW - service engineering
KW - self- features
KW - quality attributes
UR - http://www.scopus.com/inward/record.url?scp=84997638332&partnerID=8YFLogxK
U2 - 10.1007/s11761-016-0203-8
DO - 10.1007/s11761-016-0203-8
M3 - Article
VL - 11
SP - 1
EP - 31
JO - Service Oriented Computing and Applications
JF - Service Oriented Computing and Applications
SN - 1863-2386
IS - 1
ER -