GPU-Accelerated Algorithms for Allocating Virtual Infrastructure in Cloud Data Centers

摘要

Allocating IT resources to Virtual Infrastructures (VIs) (i.e.groups of VMs, virtual switches, and their network interconnections) is an NP-hard problem. Most allocation algorithms designed to run on CPUs face scalability issues when considering current cloud data centers comprising thousands of servers. This work offers and evaluates a set of allocation algorithms refactored for Graphic Processing Units (GPUs). Experimental results demonstrate their ability to handle three large-scale data center topologies.