ARMS-CC Topics

The scope of the ARMS-CC workshop includes, but is not limited to:

  • Foundational Models for Resource Management in Cloud
  • Distributed Scheduling Algorithms
  • Load-Balancing and Co-Allocation
  • Dynamic, Adaptive and Machine Learning based Distributed Algorithm
  • Many-Task Computing in the Cloud
  • Self-* and Autonomic Cloud Systems
  • Cloud Composition, Federation, Bridging, and Bursting
  • Cloud Resource Virtualization and Composition
  • Fault Tolerance, Reliability, Availability of Cloud Systems
  • Cloud Workload Profiling and Deployment Control
  • Cloud Quality Management and Service Level Agreement (SLA)
  • High Performance Cloud Computing
  • Mobile Cloud Computing
  • Green Cloud Computing
  • Cloud Computing Techniques for Big Data
  • Scheduling Algorithms for Big Data

ARMS-CC workshop 
would be of interest to the PODC community because it highlights the consideration of self-* improvements, which is explicitly focused on resource utilization and combines local and global enforcement solutions, supports the estimation of resources needed, scalability, mobility, reliability, and fault tolerance.