Name
Title | ||
|---|---|---|
GPU-Accelerated Algorithms for Allocating Virtual Infrastructure in Cloud Data Centers |
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/CCGRID.2018.00057 | 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) |
Keywords | Field | DocType |
GPU,IaaS,Cloud,Virtual Infrastructure,Data Center,Allocation | Resource management,Cache,Computer science,Server,Algorithm,Network topology,Cluster analysis,Data center,Scalability,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-5816-1 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lucas Leandro Nesi | 1 | 0 | 0.34 |
| Maurício Aronne Pillon | 2 | 7 | 7.59 |
| Marcos Dias de Assunção | 3 | 337 | 25.23 |
| Guilherme Koslovski | 4 | 56 | 11.30 |