University of Idaho
Cloud offerings are increasingly serving workloads with a large variability in terms of compute, storage and networking resources. Computing requirements (all the way to High Performance Computing or HPC), criticality, communication intensity, memory requirements, and scale can vary widely. Virtual Machine (VM) placement and consolidation for effective utilization of a common pool of resources for efficient execution of such diverse class of applications in the cloud is challenging, resulting in higher cost and missed Service Level Agreements (SLAs). For HPC, current cloud providers either offer dedicated cloud with dedicated nodes, losing out on consolidation benefits of virtualization, or use HPC-agnostic cloud scheduling resulting in poor HPC performance.