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Cloud Platform as a Service (PaaS) is a rapidly growing IT paradigm which enables software developers to deploy applications without the burden of software platform maintenance. Currently, the PaaS market is dominated by a few providers that promote incompatible standards. This introduces adoption barriers that prevent the interoperability between heterogeneous PaaS offerings, so software developers are not able to manage distributed applications spanning multiple public/private clouds. In this paper we present a multi-PaaS application management solution as a result of the Cloud4SOA European project that addresses these challenges. To clarify this approach a distributed deployment and cloud bursting scenarios are used.

Cloud Platform as a Service (PaaS) is a novel paradigm that enables software developers to create (develop or integrate), deploy, execute, and manage business applications, using a service provided by a third party. The diversity and heterogeneity of the existing PaaS offerings raises several interoperability challenges. The actual Platform as a Service market is still quite young, chaotic and highly fragmented, dominated by a few providers which use and promote incompatible standards and formats. This introduces adoption barriers due to the lock-in issues that prevent the portability of data and software from one PaaS to another. Moreover, software developers do not only need to deploy applications into a specific Cloud platform, but also to migrate applications from one Cloud platform to another, and to manage distributed applications spanning multiple PaaS. In this paper, we present a multi-cloud PaaS management as a result of the Cloud4SOA European project that addresses these challenges.

In this paper, we overview our experiences of developing large set of open source tools in ECSEL JU European project called MegaM@Rt2 whose main objective is to propose a scalable model-based framework incorporating methods and tools for the continuous development and runtime support of complex software-intensive Cyber-Physical Systems (CPSs). We briefly present the MegaM@Rt2 concepts, discuss our approach for open source, enumerate tools and give an example of a tools selection for a specific industrial context. Our goal is to introduce the reader with open source tools for the model-based engineering of CPSs suitable for diverse industrial applications.

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