Topic 6. Cluster and Cloud Computing

Cloud Computing evolved from Cluster Computing and Grid Computing as a new parallel and scalable architecture. Cloud Computing is a paradigm and a technology that today is largely used. Together with Grid and Cluster computing, Cloud Computing is a reality with many providers around the world. The use of massive storage and computing resources accessible remotely in a seamless way has become essential for many applications in various areas, in all these cases Clusters, Grids and Clouds are useful tools.

Beyond the scene, most of Cloud Computing solutions rely on federations of large-scale clusters where well-known but still unsolved challenges related to performance, reliability and energy efficiency of the infrastructures should be addressed by research. Moreover, Cloud Computing emphasized the importance of fundamental capabilities and services that are required to achieve the goal of user-friendly, security and service guarantees. Our community should also investigate these aspects.

Finally, there are important trends as going from large centralized infrastructures to smaller ones massively distributed at the edge of the network, and also to execute High Performance Computing applications on Clouds. The first referred as ‘’fog/edge’’ computing, such a dawning paradigm is attracting growing interests as it brings computing resources closer to end-users, tackling the network overhead issues that prevent the use of the UC paradigm by latency-aware applications. The second still needs a large research effort, to allow the use of compute and network intensive applications without loss of performance on Clouds.

Reproducibility: aiming to increase the level of reproducibility and replicability of results, authors of technical papers are invited to volunteer to publish their methodology, code and data with the paper, if their paper is accepted.

Focus

Cloud middleware
Cloud-enabled applications and platforms
Interoperability and portability
Big Data applications on Clouds
Aggregation and federation of clouds
Hybrid, Fog and Edge computing
Efficient energy usage of resources
Resource/Service/Information discovery
Resource management and scheduling
Cloud programming models, tools, and algorithms
Dependability, adaptability, and scalability
Security and privacy for clouds
Workflow management in Clouds, Grids and Clusters
Accounting, billing and business models
Automated or autonomic management of resources and applications
Quality-of-Service and Service-Level-Agreement in clouds
High Performance Computing on Clouds

Chairs

Global chair: Ivona Brandić, Vienna University of Technology, Austria
Local chair: Domenico Talia, Università della Calabria, Italy
Chair: Toni Mastelic, Vienna University of Technology, Austria
Chair: Raffaele Montella, Università degli Studi di Napoli "Parthenope", Italy
Chair: Anne-Cécile Orgerie, CNRS, Rennes, France
Chair: Thomas Renner, Technische Universität Berlin, Germany
Chair: Rafael Brundo Uriarte, IMT School for Advanced Studies, Lucca, Italy