A Data Quality-aware Cloud Service based on Metaheuristic and Machine Learning Provisioning Algorithms

Cloud Computing as a service has become a topic of increasing interest. The outsourcing of duties and infrastructure to external parties became a crucial concept for many business models. In this paper we discuss the design and experimental evaluation of provisioning algorithms, in a Data Quality aware Service (DQaS) context, that enables dynamic Data Quality Service Level Agreements (DQSLA) management and optimization of cloud resources. The DQaS has been designed to respond effectively to the DQSLA requirements of the service customers, by minimizing SLA penalties and provisioning the cloud infrastructure for the execution of data quality algorithms. An experimental evaluation of the proposed provisioning algorithms, carried out through simulation, has provided very encouraging results that confirm the adequacy of these algorithms in the DQaS context.