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

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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.
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Dates and versions

hal-01862065 , version 1 (26-08-2018)

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Cite

Lucas Leandro Nesi, Mauricio Pillon, Marcos Dias de Assuncao, Guilherme Piêgas Koslovski. GPU-Accelerated Algorithms for Allocating Virtual Infrastructure in Cloud Data Centers. CCGRID 2018 - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2018, Washington, France. pp.364-365, ⟨10.1109/CCGRID.2018.00057⟩. ⟨hal-01862065⟩
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