Issues in automatic combination of cloud services

D.K. Nguyen; F. Lelli; M. Papazoglou; W.J.A.M. van den Heuvel

doi:10.1109/ISPA.2012.71

Issues in automatic combination of cloud services

D.K. Nguyen, F. Lelli, M. Papazoglou, W.J.A.M. van den Heuvel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

Abstract

Current cloud service description languages envision the ability to automatically combine cloud service offerings across multiple abstraction layers, i.e. software, platform, and infrastructure service offerings, to achieve a common shared business goal. However, only little effort has been spent in this direction. This paper formalizes the issue of automatic combination of cloud services showing its computationally intensive nature. In order to overcome this issue we propose a Resource Description Framework (RDF)-based prototype implementation that leverages a batch process for automatically constructing possible combinations of cloud services. Using this approach we are able to analyze possible combinations of cloud services that may fit particular customer needs in a timely fashion.

Original language	English
Title of host publication	Proceedings of the 10th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2012)
Publisher	IEEE
Pages	487-493
ISBN (Print)	9781467316316
DOIs	https://doi.org/10.1109/ISPA.2012.71
Publication status	Published - 2012

Keywords

Cloud Computing
Cloud services
Service Oriented Architecture

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10.1109/ISPA.2012.71

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title = "Issues in automatic combination of cloud services",

abstract = "Current cloud service description languages envision the ability to automatically combine cloud service offerings across multiple abstraction layers, i.e. software, platform, and infrastructure service offerings, to achieve a common shared business goal. However, only little effort has been spent in this direction. This paper formalizes the issue of automatic combination of cloud services showing its computationally intensive nature. In order to overcome this issue we propose a Resource Description Framework (RDF)-based prototype implementation that leverages a batch process for automatically constructing possible combinations of cloud services. Using this approach we are able to analyze possible combinations of cloud services that may fit particular customer needs in a timely fashion.",

keywords = "Cloud Computing, Cloud services, Service Oriented Architecture",

author = "D.K. Nguyen and F. Lelli and M. Papazoglou and {van den Heuvel}, W.J.A.M.",

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AU - Lelli, F.

AU - Papazoglou, M.

AU - van den Heuvel, W.J.A.M.

PY - 2012

Y1 - 2012

N2 - Current cloud service description languages envision the ability to automatically combine cloud service offerings across multiple abstraction layers, i.e. software, platform, and infrastructure service offerings, to achieve a common shared business goal. However, only little effort has been spent in this direction. This paper formalizes the issue of automatic combination of cloud services showing its computationally intensive nature. In order to overcome this issue we propose a Resource Description Framework (RDF)-based prototype implementation that leverages a batch process for automatically constructing possible combinations of cloud services. Using this approach we are able to analyze possible combinations of cloud services that may fit particular customer needs in a timely fashion.

AB - Current cloud service description languages envision the ability to automatically combine cloud service offerings across multiple abstraction layers, i.e. software, platform, and infrastructure service offerings, to achieve a common shared business goal. However, only little effort has been spent in this direction. This paper formalizes the issue of automatic combination of cloud services showing its computationally intensive nature. In order to overcome this issue we propose a Resource Description Framework (RDF)-based prototype implementation that leverages a batch process for automatically constructing possible combinations of cloud services. Using this approach we are able to analyze possible combinations of cloud services that may fit particular customer needs in a timely fashion.

KW - Cloud Computing

KW - Cloud services

KW - Service Oriented Architecture

UR - https://francescolelli.info/publication/issue-in-automatic-combination-of-cloud-services/

U2 - 10.1109/ISPA.2012.71

DO - 10.1109/ISPA.2012.71

M3 - Conference contribution

SN - 9781467316316

SP - 487

EP - 493

BT - Proceedings of the 10th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2012)

PB - IEEE

ER -

Issues in automatic combination of cloud services

Abstract

Keywords

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