OpenStackEmu — A cloud testbed combining network emulation with OpenStack and SDN

Benet, Cristian Hernandez; Nasim, Robayet; Noghani, Kyoomars Alizadeh; Kassler, Andreas

doi:10.1109/ccnc.2017.7983169

Cited by 10 publications

(5 citation statements)

References 2 publications

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“…Simulators, such as CloudSimSDN [99] and a hybrid platform of Mininet [100] and POX [101] suggested by Teixeira et al [102], are used at the same time to analyze CC based on SDN. Therefore, Openstack [103] and OpenStackEmu [104] are used for real implementation evaluation to attain computational and network resources in both cloud and SDN simultaneously.…”

Section: Evaluation Techniquesmentioning

confidence: 99%

Software-defined networks for resource allocation in cloud computing: A survey

et al. 2021

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Section: Evaluation Techniquesmentioning

confidence: 99%

Software-defined networks for resource allocation in cloud computing: A survey

et al. 2021

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“…In general, link traffic control is realized based on TC in virtualized network emulation environments [7,8]. TC is a flexible and powerful traffic control method built on the Network Protocol Stack of the Linux kernel to ensure the quality of service (QoS) of the Linux system.…”

Section: Related Workmentioning

confidence: 99%

“…Emulation technology based on virtualization has the advantages of high controllability and excellent scalability [3,4], so it has become a significant tool to reproduce complex or large-scale network topologies. At present, researchers design virtual routers by loading routing software into virtual machines (VM) [5,6], and using Linux Traffic Control (TC) to control the bandwidth on a VM's network interface card (NIC) to emulate the transmission bandwidth of the physical Ethernet (e.g., 100 Mbps or 1000 Mbps) [7,8].…”

Section: Introductionmentioning

confidence: 99%

High-Fidelity Router Emulation Technologies Based on Multi-Scale Virtualization

et al. 2020

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Virtualization has the advantages of strong scalability and high fidelity in host node emulation. It can effectively meet the requirements of network emulation, including large scale, high fidelity, and flexible construction. However, for router emulation, virtual routers built with virtualization and routing software use Linux Traffic Control to emulate bandwidth, delay, and packet loss rates, which results in serious distortions in congestion scenarios. Motivated by this deficiency, we propose a novel router emulation method that consists of virtualization plane, routing plane, and a traffic control method. We designed and implemented our traffic control module in multi-scale virtualization, including the kernel space of a KVM-based virtual router and the user space of a Docker-based virtual router. Experiments show not only that the proposed method achieves high-fidelity router emulation, but also that its performance is consistent with that of a physical router in congestion scenarios. These findings provide good support for network research into congestion scenarios on virtualization-based emulation platforms.

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“…However, the focus of this overview is on the existing combined (using a combination of hardware and some form of emulation or simulation techniques) systems, created for large-scale experimental studies of DCN environments, where the scalability and functional capabilities of the setup are the most important features. Therefore, the aforementioned testbed setups [4][5][6][7][8][9][10] are out of the scope of this discussion, because they are not specifically targeting DCN-oriented large-scale environments, and a DCN-specific setup, presented in [11], will be described next.…”

Section: Related Workmentioning

confidence: 99%

“…Benet in [11] recently proposed a Cloud testbed, called OpenStackEmu, which is built as a combination of a wellknown OpenStack platform, a CORE (Common Open Research Emulator) network emulator and an external SDN (Software Defined Networking) controller [11]. The real-time network emulator uses virtual TUN/TAP (network TUNnel and tap) interfaces (virtual network kernel devices) in order to connect external physical devices to it and to be able to inject external traffic into the emulated DCN.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Testbed for Performance Evaluation of Large-Scale Datacenter Networks

Pilimon

Ruepp

2018

2018 International Conference on Computing, Networking and Communications (ICNC)

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Datacenters (DC) as well as their network interconnects are growing in scale and complexity. They are constantly being challenged in terms of energy and resource utilization efficiency, scalability, availability, reliability and performance requirements. Therefore, these resource-intensive environments must be properly tested and analyzed in order to make timely upgrades and transformations. However, a limited number of academic institutions and Research and Development companies have access to production scale DC Network (DCN) testing facilities, and resource-limited studies can produce misleading or inaccurate results. To address this problem, we introduce an alternative solution, which forms a solid base for a more realistic and comprehensive performance evaluation of different aspects of DCNs. It is based on the System-in-the-loop (SITL) concept, where real commercial DCN equipment (switches) is interconnected with simulated DCN nodes via the SITL virtual gateway modules in the Riverbed Modeler, forming a unified hybrid real-simulated DCN setup. This testbed is complemented with high performance network testers, which can generate a mix of different real traffic streams at L2-3 and L4-7 at the rates of 1, 10 or up to 40 Gbps. These components allow performance benchmarking tests to be conducted at large scale.

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OpenStackEmu — A cloud testbed combining network emulation with OpenStack and SDN

Cited by 10 publications

References 2 publications

Software-defined networks for resource allocation in cloud computing: A survey

Software-defined networks for resource allocation in cloud computing: A survey

High-Fidelity Router Emulation Technologies Based on Multi-Scale Virtualization

A Hybrid Testbed for Performance Evaluation of Large-Scale Datacenter Networks

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