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Fast VMM-based overlay networking for bridging the cloud and high performance computing

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Abstract

A collection of virtual machines (VMs) interconnected with an overlay network with a layer 2 abstraction has proven to be a powerful, unifying abstraction for adaptive distributed and parallel computing on loosely-coupled environments. It is now feasible to allow VMs hosting high performance computing (HPC) applications to seamlessly bridge distributed cloud resources and tightly-coupled supercomputing and cluster resources. However, to achieve the application performance that the tightly-coupled resources are capable of, it is important that the overlay network not introduce significant overhead relative to the native hardware, which is not the case for current user-level tools, including our own existing VNET/U system. In response, we describe the design, implementation, and evaluation of a virtual networking system that has negligible latency and bandwidth overheads in 1–10 Gbps networks. Our system, VNET/P, is directly embedded into our publicly available Palacios virtual machine monitor (VMM). VNET/P achieves native performance on 1 Gbps Ethernet networks and very high performance on 10 Gbps Ethernet networks. The NAS benchmarks generally achieve over 95 % of their native performance on both 1 and 10 Gbps. We have further demonstrated that VNET/P can operate successfully over more specialized tightly-coupled networks, such as Infiniband and Cray Gemini. Our results suggest it is feasible to extend a software-based overlay network designed for computing at wide-area scales into tightly-coupled environments.

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Notes

  1. This may be expanded in the future. Currently, it has been sized to support the largest possible IPv4 packet size.

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Acknowledgements

We would like to thank Kevin Pedretti and Kyle Hale for their efforts in bringing up Palacios and VNET/P under CNL on the Cray XK6. This project is made possible by support from the United States National Science Foundation (NSF) via grants CNS-0709168 and CNS-0707365, and by the Department of Energy (DOE) via grant DE-SC0005343. Yuan Tang’s visiting scholar position at Northwestern was supported by the China Scholarship Council.

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Authors and Affiliations

  1. Northwestern University, Evanston, IL, USA

    Lei Xia & Peter Dinda

  2. University of New Mexico, Albuquerque, NM, USA

    Zheng Cui & Patrick Bridges

  3. University of Pittsburgh, Pittsburgh, PA, USA

    John Lange

  4. University of Electronic Science and Technology of China, Chengdu, China

    Yuan Tang

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  1. Lei Xia
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Correspondence to Lei Xia.

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Xia, L., Cui, Z., Lange, J. et al. Fast VMM-based overlay networking for bridging the cloud and high performance computing. Cluster Comput 17, 39–59 (2014). https://doi.org/10.1007/s10586-013-0274-7

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