Secure Data Processing over Hybrid Clouds.
Vaibhav V. Khadilkar, Kerim Yasin Oktay, Murat Kantarcıoğlu, Sharad Mehrotra · 2012
A hybrid cloud is a composition of two or more distinct cloud infrastructures (private, community, or public) that remain unique entities, but are bound together by standardized or proprietary technology that enables data and application portability [1]. The emergence of the hybrid cloud paradigm has allowed end-users to seamlessly integrate their in-house computing resources with public cloud services and construct potent, secure and economical data processing solutions. An end-user may be required to consider a variety of factors, which include several hybrid cloud deployment models and numerous application design criteria, during the development of their hybrid cloud solutions. Although a multitude of applications could be developed through a combination of the aforementioned deployment models and design criteria, the common denominator among these applications is that they partition an application’s workload over a hybrid cloud. Currently, there does not exist a framework that can model this workload partitioning problem such that all the previously mentioned factors are considered. Therefore, in this paper we present our vision for the formalization of the workload partitioning problem such that an end-user’s requirements of performance, data security and monetary costs are satisfied. Furthermore, to demonstrate the flexibility of our formalization, we show how existing systems such as [2] [3] can be derived from our general workload partitioning framework through an instantiation of the appropriate criteria. 1