Scalability and accuracy in a large-scale network emulator

To cite this version:Vincent Autefage, Damien Magoni. NEmu: A distributed testbed for the virtualization of dynamic, fixed and mobile networks. Computer Communications, Elsevier, 2016, 80, pp.33-44. 10.1016/j.comcom.2016 AbstractExperimentation is typically the last step before launching a network application on a large production scale. However, it is often difficult to gather enough hardware resources for experimenting with a reasonably sized distributed application inside a controlled environment. Virtualization is thus a handy technique for creating such an experimentation testbed. We propose a tool called NEmu designed to create virtual dynamic networks by using emulation for testing and evaluating prototypes of networked or distributed applications with a complete control over the network topology and link parameters. NEmu leverages system emulators such as QEMU for virtualizing the hosts and the routers. It uses vnd for virtualizing components such as links and switches. In addition, NEmu allows users to create such customized topologies with limited hardware resources and without any administrative rights. We validate NEmu by replicating two network experiments and by showing that NEmu gives results very similar to the original ones.

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“…ModelNet [47] emulates a distributed virtual network but this one remains static at runtime. Thus, the dynamicity is not ensured with ModelNet.…”

Section: Network Virtualization Environmentmentioning

confidence: 99%

NEmu: A distributed testbed for the virtualization of dynamic, fixed and mobile networks

Autefage

Magoni

2016

Computer Communications

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“…Modelnet [19] uses a modified version of Dummynet as the basis to build larger emulation engines. In this case a cluster of computers is used to host multiple emulator instances, and a programmable switch takes care of connecting end nodes with the proper emulator instances, compiling a topology description into a proper configuration of switches and emulator instances.…”

Section: Emulatorsmentioning

confidence: 99%

An emulation tool for PlanetLab

Carbone

Rizzo

2011

Computer Communications

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Network testbeds have become very popular to support research on network protocols and distributed applications. To reproduce network behaviour, testbeds range between two extremes: use a fully emulated network, or distribute nodes on the real Internet. The former approach yields very reproducible results but might be a poor representation of reality; the latter gives more realistic but less reproducible scenarios.In this paper we present an emulation solution for the PlanetLab testbed, and provide a detailed description of its feature and performance. Our system gives researchers the advantages of emulation while not giving up the opportunity of running experiments in a large and heterogeneous testbed with realistic network conditions. The work is based on a Linux version of the Dummynet network emulator, extended with specific features to improve efficiency on PlanetLab, and with custom configuration mechanisms to simplify its use.The system described in this paper, developed as part of the Onelab2 project, has been deployed on a large subset of PlanetLab nodes. The emulation code itself is also available for ordinary Linux systems.

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“…We evaluated our MetaStream implementation in the ModelNet [24] IP emulation framework. Our ModelNet setup consisted of four machines, each with a 3.0GHz Pentium IV processor and 512MB RAM, interconnected with a Gigabit Ethernet switch.…”

Section: Modelnet Emulatormentioning

confidence: 99%

Topology-Aware Peer-to-Peer On-demand Streaming

Zhang

Butt

2005

NETWORKING 2005. Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile A

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Abstract. In this paper, we consider large-scale high-bandwidth on-demand media streaming in a dynamic and heterogeneous environment. We present MetaStream, a scalable and distributed content discovery protocol that enables clients across the Internet to self-organize into a topology-aware overlay network, in which they can "cache and relay" a stream among nearby peers. We present the design and implementation of MetaStream and show experimental results obtained in a large-scale emulated environment. Our evaluation shows that MetaStream distributes relaying load among the clients in a topology-aware manner, imposing low link cost to the underlying network and low streaming load on the media server. MetaStream is also highly resilient to node or network failures and is capable of quickly recovering the streaming quality at clients even at high failure rates.

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Scalability and accuracy in a large-scale network emulator

Cited by 203 publications

References 8 publications

NEmu: A distributed testbed for the virtualization of dynamic, fixed and mobile networks

NEmu: A distributed testbed for the virtualization of dynamic, fixed and mobile networks

An emulation tool for PlanetLab

Topology-Aware Peer-to-Peer On-demand Streaming

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