TOSCA is a new standard facilitating platform independent description of Cloud applications. OpenTOSCA is a runtime for TOSCA-based Cloud applications. The runtime enables fully automated plan-based deployment and management of applications defined in the OASIS TOSCA packaging format CSAR. This paper outlines the core concepts of TOSCA and provides a system overview on OpenTOSCA by describing its modular and extensible architecture, as well as presenting our prototypical implementation. We demonstrate the use of OpenTOSCA by deploying and instantiating the school management and learning application Moodle.

In this paper we describe a method and corresponding tool chain that allows moving an application to the cloud. In particular, we support to split an application such that various parts of it are moved to different clouds. This split can be done manually or by support of optimization algorithms. The split application is then automatically provisioned in the different target clouds. A metamodel for such applications supporting the proposed method is introduced. The architecture of a supporting tool is described. Experiences from the usage of the proposed method are reported.

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ABSTRACT

Enterprises often have no integrated and comprehensive view of their enterprise topology describing their entire IT infrastructure, software, on-premise and offpremise services, processes, and their interrelations. Especially due to acquisitions, mergers, reorganizations, and outsourcing there is no clear 'big picture' of the enterprise topology. Through this lack, management of applications becomes harder and duplication of components and information systems increases. Furthermore, the lack of insight makes changes in the enterprise topology like consolidation, migration, or outsourcing more complex and error prone which leads to high operational cost. In this paper we propose Enterprise Topology Graphs (ETG) as formal model to describe an enterprise topology. Based on established graph theory ETG bring formalization and provability to the cloud. They enable the application of proven graph algorithms to solve enterprise topology research problems in general and cloud research problems in particular. For example, we present a search algorithm which locates segments in large and possibly distributed enterprise topologies using structural queries. To illustrate the power of the ETG approach we show how it can be applied for IT consolidation to reduce operational costs, increase flexibility by simplifying changes in the enterprise topology, and improve the environmental impact of the enterprise IT.