Combining hardware and simulation for datacenter scaling studies

Ruepp, Sarah; Pilimon, Artur; Thrane, Jakob; Galili, Michael; Berger, Michael; Dittmann, Lars

doi:10.23919/ondm.2017.7958554

Cited by 3 publications

(4 citation statements)

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“…The performance of the simulated environment can be further enhanced by splitting a large-scale simulation model into clusters and parallelizing the setup for even larger scaling. In addition, the use of Multi-Threading (MT) of the simulation model within each cluster can further increase performance and reduce such critical parameter as packet conversion and buffering latency, which was thoroughly investigated in the previous work in [3].…”

Section: A Hybrid Dcn Testbed Architecturementioning

confidence: 99%

“…This testbed is complemented with high performance network testers, generating a mix of different traffic streams at L2-3 and L4-7 at the rates of 1, 10 or up to 40 Gbps. The PoC of building and feasibility of using such a hybrid setup for DCN performance studies was demonstrated in [3], where the communication of high performance L2-7 network testers and software traffic generators through a simulated DCN environment was assessed. The main contributions of this work are the following: 1) a hybrid (realsimulated) DCN testbed, consisting of real commercial and simulated network switches, and high performance hardware traffic generators (network testers) for more realistic stresstesting; 2) an outline of potential application scenarios of using such a testbed for large-scale experimental scalability and performance studies.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: A Hybrid Dcn Testbed Architecturementioning

confidence: 99%

Section: Introductionmentioning

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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“…In addition, we also present a hybrid (physical-simulated) testbed (for Proof-of-Concept please refer to [30]; a system without SDN capabilities is presented in [31]) for evaluating SDN TE characteristics at scale. We are using the hypercube structure illustrated in Fig.…”

Section: Analysis Of Traffic Engineering Properties In Anmentioning

confidence: 99%

“…The second test environment consists of a hybrid realsimulated setup, that allows linking of real networking equipment with a simulation model, in order to evaluate large scale SDN TE capabilities, that otherwise may not be possible due to CAPEX limitations [30]. The setup is shown in Fig.…”

Section: Analysis Of Traffic Engineering Properties In Anmentioning

confidence: 99%

Analysis of traffic engineering capabilities for SDN-based data center networks

Pilimon

Kentis

Ruepp

et al. 2018

2018 Fifth International Conference on Software Defined Systems (SDS)

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In the recent years more and more existing services have moved from local execution environments into the cloud. In addition, new cloud-based services are emerging, which are characterized by very stringent delay requirements. This trend puts a stress in the existing monolithic architecture of Data Center Networks (DCN), thus creating the need to evolve them. Traffic Engineering (TE) has long been the way of attacking this problem, but as with DCN, needs to evolve by encompassing new technologies and paradigms. This paper provides a comprehensive analysis of current DCN operational and TE techniques focusing on their limitations. Then, it highlights the benefits of incorporating the Software Defined Networking (SDN) paradigm to address these limitations. Furthermore, it illustrates two methodologies and addresses the scalability aspect of DCN-oriented TE, network and service testing, by presenting a hybrid physical-simulated SDN enabled testbed for TE studies.

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How Can Datacenters Join the Smart Grid to Address the Climate Crisis? Using simulation to explore power and cost effects of direct participation in the energy market

2021

Preprint

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Combining hardware and simulation for datacenter scaling studies

Cited by 3 publications

References 1 publication

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

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

Analysis of traffic engineering capabilities for SDN-based data center networks

How Can Datacenters Join the Smart Grid to Address the Climate Crisis? Using simulation to explore power and cost effects of direct participation in the energy market

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