Using Multiple Data Stores in the Cloud: Challenges and Solutions

Cloud computing has recently emerged as a new computing paradigm. This latter provides provisioning of dynamically scalable and often virtualized resources which are offered as services. In this context, there is a services pool that supports platforms and mechanisms in order to guarantee the applications development and execution. This set of services is called platform as a service (PaaS). One of the main goals of the PaaS is to support large data stores by ensuring elasticity, scalability and portability. Many applications have to manage different types of data that a single store can not efficiently support. Consequently, clouds need to deploy multiple data stores, allowing applications to choose those corresponding to their data requirements. In this paper, we present and discuss the requirements of such environments and analyze current state of the art.