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

Abstract

Abstract-"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 intercloud 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 intercloud 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.Index Terms-Cloud of clouds, federated clouds, model-driven system integration and sustainable clouds