Model-driven integration for a service placement optimizer in a sustainable cloud of clouds

“Cloud of clouds” (or federated cloud) is an emerging style of software deployment and execution to interoperate application services and data across geographically-distributed clouds. One of key research issues to realize this notion is inter-cloud integration. This paper proposes a model-driven integration (MDI) framework for federated clouds. The proposed MDI framework consists of (1) a metamodel to graphically define inter-cloud integration models using Enterprise Integration Patterns (EIPs) and Cloud Computing Patterns (CCPs) and (2) an MDI tool that accepts an integration model defined with the proposed metamodel and transforms it to integration code (e.g., program code and deployment configurations). This paper presents the design of the proposed MDI framework and describes an integration case study to build a bio-inspired optimization engine for dynamic service placement in a sustainable cloud of clouds.