• Infrastructure: Grid architecture, system, middleware and toolkits
  • Applications: Theory and practice of grid services and applications
  • Management: Resource discovery and allocation, monitoring, scheduling and meta-scheduling
  • Security: Anonymity, anti-censorship, and access control
  • Benchmarking: Performance evaluation and modeling, measurement technology for grid hardware and middleware, benchmark results
  • P2P Technology: Peer-to-peer techniques for grid computing
  • Partitioning and Load Balancing Technologies for Grid
  • Programming Models: Methods for remote execution and inter-task communications
  • Fundamental theories on grid and cooperative computing
  • Service Grid, Service Computing, Web Services and QoS
  • Semantic Grid and Knowledge Grid
  • Information and Software Integration technologies
  • Parallel and distributed algorithms
  • HPC applications on cluster/grid
  • Wireless networks, mobile and pervasive computing
  • Internet/web computing and data mining
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