Towards a Secure Database Integration Using SLA in a Multi-cloud Context

Abstract

The recent emergence of the cloud opens new challenges for data processing and integration. Indeed, unlimited access to cloud resources and the pay as U go model change the hypothesis for integrating and processing big data collections. This is accentuated due to cloud provider incentives to attract data providers and let them choose their cloud. In this context data services are deployed on several clouds which make data integration face several heterogeneity problems. This paper proposes a secure-aware data integration (lookup, aggregation, correlation) strategies that can be performed on a multi-cloud environment guided by their respective SLA contracts. The resulting data integration is provided as DaaS (data as a service) with a global SLA that consolidates as much as possible the SLA adopted by every cloud provider. Our data integration approach is being tested for integrating databases used for managing an education program.