Distributed Computing

• Topics
  • parallel and distributed algorithms for clouds, GPUs, HPC, P2P systems, autonomous systems. Work should focus on scheduling, scaling, load balancing, networks, fault-tolerance, gossip algorithms, energy saving
  • applications for parallel and distributed systems, including work on cross disciplinary (scientific) applications for grids/clouds, web applications, workflow platforms, network measurement tools, programming environments
  • architectures for parallel and distributed systems, including self-managing and autonomous systems, negotiation protocols, HPC on clouds, GPU processing, PaaS for (inter)cloud, brokering platforms, mobile computing
  • modelling of parallel and distributed systems including models on resources and networks, semantic representation, negotiation, social networks, trace management, simulators
  • any other topic deemed relevant to the field.

• Chairs
  • Marc Frincu,  West University of Timisoara, Romania