The wide adoption of Cloud Computing architectures for utility computing, big-data solutions, Service-Oriented Architectures (SOA) and highly scalable and resilient commodity hardware, have allowed the developers and consumers to access a wide range of services and computational resources through a pay-per-use model.

Moreover, the ever increasing need to consume and the associated need for assuring services in larger and larger scale are forcing the providers to optimize resources efficiently in order to meet the web-scale demand of current computing landscape.

The computing, management and programming models have to evolve to address the complexity and the resulting tool fatigue in current distributed data centers. Novel unified computing theories and implementations are required to address the resiliency and efficiency of global web-scale services creation, delivery and assurance.

One of the main problems is that the current generation virtualization technologies cannot scale in a distributed environment where multiple owners provide infrastructure that is heterogeneous and is evolving rapidly. As a consequence, new architectures focusing on intelligent services deployed using dumb infrastructure on fat and stupid pipes must evolve.

Traditional grid computing elements, frameworks, middlewares, and computing models used by scientists and business analysists need to be integrated into a unified computing framework.

The goal of CDCGM 2016 is to attract young researchers, Ph.D. students, practitioners, and business leaders to bring contributions in the area of distributed Clouds, Grid and their management, especially in the developments of computing, management and programming models, technologies, framework and middleware.

You are invited to submit research papers to the following areas:

- Discovering new application scenarios, proposing new operating systems, programming -abstractions and tools with particular reference to distributed Grids and Clouds and their integration.
- Identifying the challenging problems that still need to be solved such as parallel programming, scaling and management of distributed computing elements.
- Reporting results and experiences gained in building dynamic Grid-based middleware, Computing Cloud and workflow management systems.
- New models and technologies for management, configuration, accounting of computational resources within Cloud and Grid systems.
- Cloud/Grid Composition, Federation and Orchestration.
- High Performance Cloud Computing.
- Interoperability between native High Performance Infrastructures and Public/Hybrid Cloud.
- Inter-cloud, large scale Workflow Management with particular reference to unified computing infrastructures.
- Green Cloud Computing.
- Emerging problems and recent trends in the field of IoT and Ubiquitous Clouds.
- Architectures and models for large scale, federated utility computing infrastructures.
- Big Data models and frameworks with particular emphasis to the integration of existing systems into Public/Hybrid Cloud.
- Intelligent systems for Cloud Data management.
- Emerging policies, algorithms and architectural frameworks for Service Level Agreement (SLA) for unified computing infrastructures
- Intelligent systems for deploying and configuration of Clouds and Grid Services.
- Infrastructures, models and frameworks for Utility Computing Service Migration.
- Emerging infrastructures, middleware, frameworks for Unified computing platforms.
- Intelligent systems for unified and federated utility computing infrastructures.
- Security, Privacy, Trustworthiness for Public, Private, and Hybrid Clouds.
- New software architectures for unified and interoperable Grid and Cloud platforms.
- Virtualization of Grid resources and their management within private/hybrid Cloud.