benchmarking   2829

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ab - Apache HTTP server benchmarking tool - Apache HTTP Server Version 2.4
ab -c200 -t10 http://localhost:8080/

This command will test-load the server with 200 concurrent connections for 10 seconds.
benchmarking  http  apache  performance  scalability  testing  code 
15 days ago by activescott
go-benchmarks/channel_test.go at master · tylertreat/go-benchmarks
A few miscellaneous Go microbenchmarks. Contribute to tylertreat/go-benchmarks development by creating an account on GitHub.
benchmark  benchmarking  GoLang 
5 weeks ago by hackerzhut
tylertreat/log-benchmarking: Benchmarking for distributed logs.
Benchmarking for distributed logs. Contribute to tylertreat/log-benchmarking development by creating an account on GitHub.
benchmark  benchmarking  GoLang 
5 weeks ago by hackerzhut
n-st/nench: VPS benchmark script — based on the popular, plus CPU and ioping tests, and dual-stack IPv4 and v6 speedtests by default
VPS benchmark script — based on the popular, plus CPU and ioping tests, and dual-stack IPv4 and v6 speedtests by default - n-st/nench
Hosting  benchmark  benchmarking 
5 weeks ago by hackerzhut
[1709.09683] Exact Camera Location Recovery by Least Unsquared Deviations
We establish exact recovery for the Least Unsquared Deviations (LUD) algorithm of Ozyesil and Singer. More precisely, we show that for sufficiently many cameras with given corrupted pairwise directions, where both camera locations and pairwise directions are generated by a special probabilistic model, the LUD algorithm exactly recovers the camera locations with high probability. A similar exact recovery guarantee was established for the ShapeFit algorithm by Hand, Lee and Voroninski, but with typically less corruption.
inverse-problems  image-processing  rather-interesting  benchmarking  nudge-targets  consider:feature-discovery  consider:rediscovery 
7 weeks ago by Vaguery
Packets-per-second limits in EC2
By running these experiments, we determined that each EC2 instance type has a packet-per-second budget. Surprisingly, this budget goes toward the total of incoming and outgoing packets. Even more surprisingly, the same budget gets split between multiple network interfaces, with some additional performance penalty. This last result informs against using multiple network interfaces when tuning the system for higher networking performance.

The maximum budget for m5.metal and m5.24xlarge is 2.2M packets per second. Given that each HTTP transaction takes at least four packets, we can translate this to a maximum of 550k requests per second on the largest m5 instance with Enhanced Networking enabled.
aws  ec2  networking  pps  packets  tcp  ip  benchmarking 
7 weeks ago by jm
[1808.05850] Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling $(1+λ)$ EA Variants on OneMax and LeadingOnes
Theoretical and empirical research on evolutionary computation methods complement each other by providing two fundamentally different approaches towards a better understanding of black-box optimization heuristics. In discrete optimization, both streams developed rather independently of each other, but we observe today an increasing interest in reconciling these two sub-branches. In continuous optimization, the COCO (COmparing Continuous Optimisers) benchmarking suite has established itself as an important platform that theoreticians and practitioners use to exchange research ideas and questions. No widely accepted equivalent exists in the research domain of discrete black-box optimization.
Marking an important step towards filling this gap, we adjust the COCO software to pseudo-Boolean optimization problems, and obtain from this a benchmarking environment that allows a fine-grained empirical analysis of discrete black-box heuristics. In this documentation we demonstrate how this test bed can be used to profile the performance of evolutionary algorithms. More concretely, we study the optimization behavior of several (1+λ) EA variants on the two benchmark problems OneMax and LeadingOnes. This comparison motivates a refined analysis for the optimization time of the (1+λ) EA on LeadingOnes.
evolutionary-algorithms  metaheuristics  horse-races  performance-measure  rather-interesting  to-write-about  consider:classification  benchmarking  consider:open-ended-problems 
7 weeks ago by Vaguery

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