Cloud service description model: an extension of USDL for cloud services
Article
Article Title | Cloud service description model: an extension of USDL for cloud services |
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ERA Journal ID | 36548 |
Article Category | Article |
Authors | Sun, Le (Author), Ma, Jiangan (Author), Wang, Hua (Author), Zhang, Yanchun (Author) and Yong, Jianming (Author) |
Journal Title | IEEE Transactions on Services Computing |
Journal Citation | 11 (2), pp. 354-368 |
Number of Pages | 15 |
Year | 2018 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Place of Publication | United States |
ISSN | 1939-1374 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/TSC.2015.2474386 |
Web Address (URL) | https://ieeexplore.ieee.org/document/7229352 |
Abstract | There are a variety of well-designed specification-modelling-languages serving Internet services, however, none of them is capable of describing the special features of cloud services, from both technical and business points of view. The Unified Service Description Language (USDL) provides a new way to describe Internet services from business, operational, and technical perspectives. Nevertheless, there are various issues with USDL: it lacks a comprehensive specification model, particularly for cloud services, lacks a user-centric specification modeling paradigm, lacks a mechanism to measure cloud service attributes and to present the association relationship and re-usability of the attributes, and lacks semantic representation of cloud services. Based on the above issues, we propose a unified semantic Cloud Service Description Model (CSDM) in this paper. The proposed model will be extended from the basic structure of USDL, by defining cloud-service-specific attributes. Furthermore, an additional module, named transaction module, will be defined, which models the rating system of cloud services from several aspects, such as risk, trust, and reputation. The transaction module facilitates the capability of CSDM with regard to service ranking, and enhances its flexibility and extensibility by providing an extensible sub-module. In addition, we design an OWL-based annotation system to enrich the semantic expressivity of this model. Finally, a case study is provided to explain the application of this model in actual cloud services. |
Keywords | cloud service; service description model; USDL; CSDM |
ANZSRC Field of Research 2020 | 460999. Information systems not elsewhere classified |
Public Notes | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Victoria University |
School of Management and Enterprise | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q50v7/cloud-service-description-model-an-extension-of-usdl-for-cloud-services
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