Dynamic Virtual Clustering

Abstract

Multiple clusters co-existing in a single research campus has become commonplace at many university and government labs, but effectively leveraging those resources is difficult. Intelligently forwarding and spanning jobs across clusters can increase throughput, decrease turnaround time, and improve overall utilization. Dynamic virtual clustering (DVC) is a system of virtual machines, deployed in a single or multi-cluster environment, to increase cluster utilization by enabling job forwarding and spanning, flexibly allow software environment changes, and effectively sandbox users and processes from each other and the system. This paper presents both the initial implementation of DVC and performance results from synthetic workloads executed under DVC.