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6. Cluster and Cloud Computing

The success of Cloud Computing solutions such as the ones provided by Amazon or Google has driven the advent of the Utility Computing (UC) paradigm. The use of massive storage and computing resources accessible remotely in a seamless way has become essential for many applications in various areas. Cloud Computing evolved from Cluster Computing where for the latter dedicated resources are usually involved.
While significant progresses have been achieved in the past decade, the complete adoption of the UC paradigm is still facing important challenges. 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, academics and industrials are now advocating for going from large centralized infrastructures to smaller ones massively distributed at the edge of the network. Referred to 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 such as the mobile ones. Where and how operating such infrastructures and what are the appropriate abstractions for reifying locality at the API levels are open questions.


  • Cloud middleware
  • Cloud-enabled applications and platforms
  • Interoperability and portability
  • 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 for clouds
  • Workflow management
  • Accounting, billing and business models
  • Automated or autonomic management of resources and applications
  • Quality-of-Service and Service-Level-Agreement in clouds


Chair: Adrien Lebre (Inria, France)

Ivona Brandic (Vienna University of Technology, Austria)
Fabien Hermenier (University Nice Sophia Antipolis, France)
Peter Pietzuch (Imperial College London, England)
Ioan Raicu (Illinois Institute of Technology, USA)
Xuanhua Shi (Huazhong University of Science and Technology, China)
Wenhong Tian (University of Electronic Science and Technology of China, China)
Srikumar Venugopal (IBM, Ireland)

Permanent link to this article: http://europar2016.inria.fr/conference/topics/6-cluster-and-cloud-computing/