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Author: Marco Comerio

Affiliation: University of Milano - Bicocca, Italy

Keyword(s): Service Selection, Service Contract, Data Contract, Data Quality, Cloud Computing.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Cloud Computing Architecture ; Fundamentals ; Service Discovery ; Service Modeling and Specification ; Services Science

Abstract: The application of techniques to improve the data quality of an organization is traditionally costly since different specific tools are required. Potentially, cloud computing models could offer powerful solutions to reduce costs. However, some challenges remain in the widespread acceptance of cloud computing models because they require the sharing of business critical data. Therefore, services for data quality improvements in the cloud should act in compliance with predefined contracts. This paper extends previous works on the specification, selection and evaluation of service and data contracts. Moreover, a cloud-based architecture for data quality improvement that supports contract-based service selection is proposed. Experimental activities on a real scenario demonstrate the feasibility of the proposed solution.

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Paper citation in several formats:
Comerio, M. (2012). A CLOUD-BASED SOLUTION FOR DATA QUALITY IMPROVEMENT. In Proceedings of the 2nd International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-8565-05-1; ISSN 2184-5042, SciTePress, pages 222-227. DOI: 10.5220/0003902802220227

@conference{closer12,
author={Marco Comerio.},
title={A CLOUD-BASED SOLUTION FOR DATA QUALITY IMPROVEMENT},
booktitle={Proceedings of the 2nd International Conference on Cloud Computing and Services Science - CLOSER},
year={2012},
pages={222-227},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003902802220227},
isbn={978-989-8565-05-1},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Cloud Computing and Services Science - CLOSER
TI - A CLOUD-BASED SOLUTION FOR DATA QUALITY IMPROVEMENT
SN - 978-989-8565-05-1
IS - 2184-5042
AU - Comerio, M.
PY - 2012
SP - 222
EP - 227
DO - 10.5220/0003902802220227
PB - SciTePress

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