Cloud Computing covers a broad range of distributed computing principles from infrastructure (e.g distributed storage, reconfigurable networks) to new programming platforms (e.g MS Azure, Google Appe Engine), and internet based applications. Particularly, Infrastructure as a Service (IaaS) Cloud systems - such as Amazon EC2, Rackspace or Google Compute Engine - allow the dynamic creation, destruction and management of virtual machines (VMs) on virtualized clusters. IaaS Clouds provide a high-level of abstraction to the end user, one that allows the creation of on-demand services through a pay as you go infrastructure combined with elasticity. The increasingly large range of choices and availability of IaaS toolkits has also allowed creation of cloud solutions and frameworks even suitable for private deployment and practical IaaS use on smaller scales. This special session on Cloud Computing is intended to be a forum for the exchange of ideas and experiences on the use of Cloud Computing technologies and applications with compute and data intensive workloads. The special session also aims at presenting the challenges and opportunities offered by the development of academic Cloud Computing solutions - such as OpenNebula, OpenStack or Eucalyptus - themselves, as well as case studies in applications of Cloud Computing. The general venue will be a good occasion to share, learn, and discuss the latest results in this field of research. The special session program will include presentations of peer-reviewed papers. The topics of interest include, but are not limited to:

  • Virtualization technologies and their effects on IaaS solutions
  • Incorporating beyond-CPU virtualization (e.g. I/O, GPU) aspects to cloud infrastructures
  • Cloud Computing resource management (e.g., Virtual Machine scheduling and management algorithms)
  • Operational challenges, federative and interoperability aspects of private, hybrid and public IaaS systems
  • Cost and pricing models in virtualized infrastructures
  • Novel IaaS architectures, platforms and applications
  • Virtual Appliance storage management (e.g. caching, repositories, marketplaces)
  • Virtual Machine migration techniques
  • Security and Privacy aspects of data management in Clouds
  • Cloud Computing for scientific applications
  • Performance evaluation, modeling, simulation and prediction of IaaS clouds
  • Programming models and tools
  • Cloud computing for compute and/or data intensive applications (with special focus on the needs of Big Data)
  • Workflows on the Cloud
  • Cloud Computing deployment models
  • Cloud storage and I/O

Programme Committee:

  • Attila Marosi, MTA SZTAKI, Hungary
  • Simon Ostermann, University of Innsbruck, Austria
  • Gabor Terstyanszky, University of Westminster, UK