DocumentCode :
267108
Title :
Underpinning a Cloud Brokerage Service Framework for Quality Assurance and Optimization
Author :
Veloudis, Simeon ; Friesen, Andreas ; Paraskakis, Iraklis ; Verginadis, Yiannis ; Patiniotakis, Ioannis
Author_Institution :
South East Eur. Res. Centre (SEERC), Univ. of Sheffield, Thessaloniki, Greece
fYear :
2014
fDate :
15-18 Dec. 2014
Firstpage :
660
Lastpage :
663
Abstract :
With the pervasion of cloud computing, enterprises increasingly rely on ecosystems of distributed, task-oriented, modular, and collaborative cloud services. In order to effectively manage the complexity inherent in such ecosystems, enterprises are anticipated to depend upon brokerage mechanisms for performing policy-based governance and for recommending optimal services to consumers. Such mechanisms crucially depend upon the existence of a uniform, platform-independent representation of services, consumer preferences, and policies concerning service delivery. In this paper we propose an ontology-based approach to such a representation.
Keywords :
cloud computing; groupware; ontologies (artificial intelligence); optimisation; quality assurance; brokerage mechanisms; cloud brokerage service framework; cloud computing; collaborative cloud services; consumer preferences; distributed cloud services; modular cloud services; ontology-based approach; optimal service recommendation; optimization; policy-based governance; quality assurance; service delivery; service platform-independent representation; task-oriented cloud services; Business; Cloud computing; Educational institutions; Electronic mail; Ontologies; Optimization; Vocabulary; Linked USDL; cloud computing; cloud service brokerage; optimization; policy-based governance; quality control; service description languages; service governance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/CloudCom.2014.146
Filename :
7037732
Link To Document :
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