Cloud Computing on Infrastructure as a Service

and its Applications

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 open-source Cloud Computing solutions - such as OpenStack or OpenNebula - 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.

ENTICE project links

The session is organised in collaboration with the ENTICE project (www.entice-project.eu). We expect to receive additional papers in alignment with the goals of the project:
  • Creation of lightweight VM images through functional descriptions
  • Distributed lightweight VM image storage
  • Autonomous multi-objective repository optimisation
  • Elastic resource provisioning
  • Information infrastructure for strategic and dynamic reasoning
Additionally, the project will present its use cases/pilot applications and show how they are aligned to the scope of the special session and to the wider cloud computing research and industrial communities. Finally, at the end of the session the project will organise a panel.

Topics:

  • 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)
  • Container management and orchestration
  • 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
  • Workflows on the Cloud
  • Cloud Computing deployment models
  • Cloud storage and I/O
  • Cloud services for the Internet of Things

Session Chair:

Gabor Kecskemeti, Liverpool John Moores University, United Kingdom, <kecskemeti[DOT]gabor[AT]sztaki[DOT]mta[DOT]hu>


Programme Co-chairs:

Gabor Kecskemeti, Liverpool John Moores University, United Kingdom, <kecskemeti[DOT]gabor[AT]sztaki[DOT]mta[DOT]hu>

Thierry Delaitre, University of Westminster, United Kingdom, <T[DOT]Delaitre[AT]westminster[DOT]ac[DOT]uk>

Attila Kertesz, University of Szeged and MTA SZTAKI, Hungary, <keratt[AT]inf[DOT]u-szeged[DOT]hu>


Programme Committee:

Vincent Chimaobi Emeakaroha, University College Cork, Ireland

Thomas Fahringer, University of Innsbruck, Austria

Eduardo Huedo, Universidad Complutense de Madrid, Spain

Gabor Kecskemeti, Liverpool John Moores University, United Kingdom

Steven Latre, University of Antwerp - iMinds, Belgium

Philipp Leitner, University of Zurich, Switzerland

Attila Csaba Marosi, MTA SZTAKI, Hungary

Anne-Cecile Orgerie, CNRS, France

Radu Prodan, University of Innsbruck, Austria

Ivan Rodero, Rutgers University, USA

Massimo Villari, University of Messina, Italy

Vlado Stankovski, University of Ljubljana, Slovenia