CCGrid 2013

The 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2013) will be held at Delft University of Technology in Delft, the Netherlands.

Here is an extract from the recent Call for Papers:

Rapid advances in architectures, networks, and systems and middleware technologies are leading to new concepts in and platforms for computing, ranging from Clusters and Grids to Clouds and Datacenters. CCGrid is a series of very successful conferences, sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC) and the ACM, with the overarching goal of bringing together international researchers, developers, and users to provide an international forum to present leading research activities and results on a broad range of topics related to these concepts and platforms, and their applications. The conference features keynotes, technical presentations, workshops, tutorials, and posters, as well as the SCALE challenge featuring live demonstrations.

CCGrid 2013 will have a focus on important and immediate issues that are significantly influencing all aspects of cluster, cloud and grid computing.



Topics of interest include, but are not limited to:

  • Applications and Experiences: Applications to real and complex problems in science, engineering, business, and society; User studies; Experiences with large-scale deployments, systems, or applications
  • Architecture: System architectures, design and deployment; Power and cooling; Security and reliability; High availability solutions
  • Autonomic Computing and Cyberinfrastructure: Self-managed behavior, models and technologies; Autonomic paradigms and systems (control-based, bio-inspired, emergent, etc.); Bio-inspired optimizations and computing
  • Cloud Computing: Cloud architectures; Software tools and techniques for clouds
  • Multicore and Accelerator-based Computing: Software and application techniques to utilize multicore architectures and accelerators in clusters, grids, and clouds
  • Performance Modeling and Evaluation: Performance prediction and modeling; Monitoring and evaluation tools; Analysis of system and application performance; Benchmarks and testbeds
  • Programming Models, Systems, and Fault-Tolerant Computing: Programming models and environments for cluster, cloud, and grid computing; Fault-tolerant systems, programs and algorithms; Systems software to support efficient computing
  • Scheduling and Resource Management: Techniques to schedule jobs and resources on cluster, cloud, and grid computing platforms; SLA definition and enforcement