Model-driven engineering (MDE) often features quality assurance (QA) techniques to help developers creating software that meets reliability, efficiency, and safety requirements. In this paper, we consider the question of how quality-aware MDE should support data-intensive software systems. This is a difficult challenge, since existing models and QA techniques largely ignore properties of data such as volumes, velocities, or data location. Furthermore, QA requires the ability to characterize the behavior of technologies such as Hadoop/MapReduce, NoSQL, and stream-based processing, which are poorly understood from a modeling standpoint. To foster a community response to these challenges, we present the research agenda of DICE, a quality-aware MDE methodology for data-intensive cloud applications. DICE aims at developing a quality engineering tool chain offering simulation, verification, and architectural optimization for Big Data applications. We overview some key challenges involved in developing these tools and the underpinning models.

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Cloud service abstractions are currently used to hide the underlying complexity given by existing technologies and services, in hope of facilitating the enacting of Cloud Federations and Marketplaces. In particular, resource management systems dealing with multiple Cloud providers need to expose an uniform interface for various services and to build wrappers for the Cloud service APIs. In this paper we discuss the solution adopted by a recent developed open-source and vendor agnostic platform-as-a-service for Multi-Cloud application deployment. The middleware includes a multi-agent system for automatic Cloud resource management. With a modular design, the solution provides a flexible approach to encompass new Cloud service offers as well as new resource types. This paper focuses on the modules which enable resource abstraction and automatized management.

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After the large penetration of Cloud Computing, more and more developers are taking into account migrating their applications to the Cloud, in order to take advantage of the characteristics of this new environment. In close relation with application migration, an increasing number of development and execution platforms, delivered as PaaS solutions (such as mOSAIC, 4CaaSt, Cloud Foundry, OpenShift, Stackato, and others) are offering their services for development, deployment, and execution of applications that are using in an optimum manner the five characteristics of the Cloud.Following this massive migration of applications, especially from SOA, to Cloud environments, new requirements for application development could be identified in order to enable the construction of complex solutions, and to exploit a business level on the top of various *-as-a-Service layers. The introduction of a centralized component, the Cloud Governance, is necessary in order to enable the development of complex cloud ecosystems. This centralized component is extending, complementing, completing and integrating core features from the PaaS layer, like monitoring, provisioning, negotiation, and others, and integrate features of various Cloud management solutions.

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