Paper Info
Title
Cloud services composition through cloud patterns: a semantic-based approach.
Abstract
Despite the research and standardization efforts carried out both by academia and commercial enterprises, the composition of existing cloud services which fully satisfy customers’ requirements is still a complex and tricky task. This situation is due to the high number of cloud services currently available on the market, which either expose non-standard interfaces or implement different standards, according to their specific objective. As in the past design patterns have been applied to software design to bring order and help developers in better building, composing and reusing their application, nowadays cloud patterns offer the opportunity to leverage best practices in services composition to ease the design and deployment of cloud-oriented applications. However, due to differences in semantics which affect services’, operations’ and parameters’ descriptions, cloud patterns alone cannot solve the cloud service composition problem. In this paper a methodology for the discovery and composition of cloud services, guided by cloud patterns, is presented. Such a methodology is supported by semantic Web technologies, such as OWL, OWL-S and SPARQL, to solve incongruence between interfaces’ and parameters’ descriptions, and to automatize the whole composition process.
Year
DOI
Venue
2017
10.1007/s00500-016-2264-1
Soft Comput.
Keywords
Field
DocType
Cloud computing, Cloud patterns, Service composition, Service orchestration, Semantic Web, OWL, OWL-S, SPARQL, SWRL
Data science,Software design,Computer science,Semantic Web,Software design pattern,SPARQL,OWL-S,Artificial intelligence,Services computing,World Wide Web,Machine learning,Cloud testing,Cloud computing
Journal
Volume
Issue
ISSN
21
16
1433-7479
Citations 
PageRank 
References 
7
0.46
7
Authors
3
Name
Order
Citations
PageRank
Beniamino Di Martino11287141.47
Giuseppina Cretella213814.21
Antonio Esposito37818.72