Towards a Scalability and Energy Efficiency Benchmark for VNF

Schmitt, Norbert; Kistowski, Jóakim von; Kounev, Samuel

doi:10.1007/978-3-319-72401-0_4

Cited by 2 publications

(4 citation statements)

References 15 publications

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“…Ref. [20] presents a new tool for VNF scalability (scale up/out) and energy efficiency benchmarking. This is very important for ensuring a correct dimensioning of the VNFs to be deployed.…”

Section: Testing Tools For Performance Characterization and Profilingmentioning

confidence: 99%

Performance characterization and profiling of chained CPU-bound Virtual Network Functions

et al. 2023

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“…Ref. [20] presents a new tool for VNF scalability (scale up/out) and energy efficiency benchmarking. This is very important for ensuring a correct dimensioning of the VNFs to be deployed.…”

Section: Testing Tools For Performance Characterization and Profilingmentioning

confidence: 99%

Performance characterization and profiling of chained CPU-bound Virtual Network Functions

et al. 2023

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“…24). For cloud applications, benchmark suite SPEC Cloud IaaS [92,177] stresses resource provisioning, storage, network resources and computation. To generate a server workload, SPEC Web [178] can be used.…”

Section: Workload Generators/benchmarksmentioning

confidence: 99%

“…To generate a server workload, SPEC Web [178] can be used. An energy efficiency benchmark for scalable virtual networks, based on SPEC power methodology [177], is also designed specifically for VNF applications.…”

Section: Workload Generators/benchmarksmentioning

confidence: 99%

“…Standard Performance Evaluation Corporation (SPEC) [47,52,56,72,75,87,92,106,131,132,142,177,177,185,186] PrincetonApplication Repository for Shared-Memory Computers (PARSEC) [93,94,182] NAS Parallel Benchmarks (NAS NBP) [68,91,96,182] BitCurrent CloudHarmonics BenchCloud [181] CloudSuite [133,135,181] Yahoo! Cloud Serving Benchmark (YCSB) [181] Transaction Processing Performance Council -Web Benchmark (TPC-W) [181] HiBench [181] Iozone [68,96,142] RuBBoS bulletin board [60] Apache [60,131] Tbench [60] Multi-core Processor Architecture and Communication (MPAC) [79] Iometer [87] NBench (BYTEMARK) [74,96] Fhourstone [74] Dhrystoe [74] Ubench [74] Snort [97] TCPreplay [97] Bonnie++ …”

Section: Bibliography Reference Frequencymentioning

confidence: 99%

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A Categorization of Power Measurement and Power Consumption Models in the Telco Cloud

Depasquale

Salam

Davoli

2021

Preprint

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This article surveys the literature, over the period 2010-2020, on measurement of power consumption and relevant power models of virtual entities as they apply to the telco cloud. Hardware power meters are incapable of measuring power consumption of individual virtual entities co-hosted on a physical machine. Thus, software power meters are inevitable, yet their development is difficult. Indeed, there is no direct approach to measurement and, therefore, modeling through proxies of power consumption must be used. In this survey, we present trends, fallacies and pitfalls. Notably, we identify limitations of the widely-used linear models and the progression towards Artificial Intelligence / Machine Learning techniques as a means of dealing with the seven major dimensions of variability: workload type; computer virtualization agents; system architecture and resources; concurrent, co-hosted virtualized entities; approaches towards attribution of power consumption to virtual entities; frequency; and temperature.

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Towards a Scalability and Energy Efficiency Benchmark for VNF

Cited by 2 publications

References 15 publications

Performance characterization and profiling of chained CPU-bound Virtual Network Functions

Performance characterization and profiling of chained CPU-bound Virtual Network Functions

A Categorization of Power Measurement and Power Consumption Models in the Telco Cloud

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