The Community for Technology Leaders
2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) (2018)
Washington, DC, USA
May 1, 2018 to May 4, 2018
ISBN: 978-1-5386-5815-4
pp: 364-365
ABSTRACT
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.
INDEX TERMS
cloud computing, computational complexity, computer centres, graphics processing units, microprocessor chips, network servers, resource allocation, virtual machines
CITATION

L. L. Nesi, M. A. Pillon, M. D. Assuncao and G. P. Koslovski, "GPU-Accelerated Algorithms for Allocating Virtual Infrastructure in Cloud Data Centers," 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), Washington, DC, USA, 2018, pp. 364-365.
doi:10.1109/CCGRID.2018.00057
160 ms
(Ver 3.3 (11022016))