Cloud Computing Term Project on IaaS cloud middleware

• Project statement:

  • Create a cloud environment with a number of servers, allowing users to submit their jobs, scale their jobs
  • Make simple resource management solutions in determining where to place a VM and when to migrate them

• Project steps

  • Cloud environment setup
    • Set up the KVM environment
    • Provide an interface for job submission and scaling
  • Middleware implementation
    • Explore libvirt to achieve VM creation, scaling, and migration
    • Study and summarize papers in VM placement
    • Design and develop a VM placement and migration decision algorithm
  • System monitoring
    • Install one of the cloud monitoring system to observe various behaviors of the system
    • Continuously display memory load, CPU load, IO load, etc.
    • For individual VMs, individual nodes, etc.
    • Create the interface for the monitoring result display
    • Obtain cloud workloads, and perform cloud middleware management
  • Analyze the results

• Papers to refer:

  • D. Ardagna, M. Trubian, and L. Zhang, “SLA based resource allocation policies in autonomic environments,” Journal of Parallel and Distributed Computing, vol. 67, pp. 259-270, 2007.
  • J. Almeida, V. Almeida, D. Ardagna, Í. Cunha, C. Francalanci, and M. Trubian, “Joint admission control and resource allocation in virtualized servers,” Journal of Parallel and Distributed Computing, vol. 70, pp. 344-362, 2010.
  • On Theory of VM Placement: Anomalies in Existing Methodologies and Their Mitigation Using a Novel Vector Based Approach
  • On Resource Management for Cloud Users: A Generalized Kelly Mechanism Approach
  • SLA-aware virtual resource management for cloud infrastructures
  • VMware Distributed Resource Management: Design, Implementation, and Lessons Learned
  • Q-Clouds: Managing Performance Interference Effects for QoS-Aware Clouds