Synthesizing Realistic CloudWorkload Traces for Studying Dynamic Resource System Management

摘要

Cloud Computing has become a new technical and economic model within companies. By virtualizing services, it allowed a more flexible management of datacenters capacities. However, its elasticity and its flexibility led to the explosion of virtual environments to manage. It's common for a system administrator to manage several hundreds or thousands virtual machines. Without appropriate tool, this administration task may be impossible to achieve. We purpose in this paper a decision support tool to detect virtual machines with atypical behavior. Virtual machines whose behavior is different from other VMs running in the data center are tagged as a typicals. This tool has been validated in production and being used by several companies.