Datacenters are becoming more important as they are heavily used web or big data workloads in companies such as Facebook, Google, Amazon, etc. For efficient utlization of datacenters, it is required to solve performance problem due to interference between service workloads. Performance interference is inevitable in datacenters where many services compete for limited resources; to solve this problem, we need more efficient and fairer resource allocation strategy.
To deal with this issue, our lab is doing researches based on open-source cloud platform OpenStack. We are working on developing a system that minimizes the performance interference between workloads by scheduling based on the interference profiling.