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International conference on Networking and Services (ICNS'06)
Performance Implications of Using VPN Technology for Cluster Integration and Grid Computing
Silicon Valley, California, USA
July 16-July 18
ISBN: 0-7695-2622-5
Jens Mache, Lewis & Clark College, Portland OR, USA
Damon Tyman, Lewis & Clark College, Portland OR, USA
Andre Pinter, Lewis & Clark College, Portland OR, USA
Chris Allick, Lewis & Clark College, Portland OR, USA

For cluster integration and grid computing that bridges organizational network boundaries, potential showstoppers include security policies, firewalls and non-routable IP addresses. Virtual Private Network (VPN) technology can overcome these hurdles, but what are the performance implications?

In this paper, we analyze the performance implications of using the open-source OpenVPN software. Our measurements include NetIO and the NAS parallel benchmarks. The main performance implications are additional latency (0.5 milliseconds) and potentially maxed-out CPU load on the VPN gateways. Effective bandwidth and the execution time of applications that run across VPN-connected clusters was affected only if both (1) the wide-area link is fast (above 83 Mbits/s, given our 1.4 GHz Athlon CPU) and (2) the application is communication-intensive.

Moreover, when moving an application from running within a single cluster to running across multiple clusters, we show that besides potential "VPN slowdown" there is "hotspot slowdown": the grid topology can cause traffic hotspots on the inter-cluster links. The more nodes the cross-cluster application runs on, the worse the potential traffic hotspot.

Index Terms:
grid computing, performance evaluation, VPN, security, hotspot
Citation:
Jens Mache, Damon Tyman, Andre Pinter, Chris Allick, "Performance Implications of Using VPN Technology for Cluster Integration and Grid Computing," icns, pp.75, International conference on Networking and Services (ICNS'06), 2006
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