Hi Andrew, Thanks andrew for the quick response. Here is the GitHub repo and instructions on how to run the tests https://github.com/kishore25kumar/s3proxy-async-test-setup. The READE.md also has the repo details of s3proxy as well as jclouds implementation. Hope this helps? Let me know if you need anything else?
In the mean time you review these results if you can let me know the design review process I can be prepared for that. -- Thanks -- Kishore On 26/05/17, 12:40 PM, "Andrew Gaul" <g...@apache.org> wrote: >Kishore, these are promising results! I reformatted the most important >rows which show a 2x improvement in throughput and latency: > >10 10,000 Async Http Lib 209 282 48 >10 10,000 OutputStream 392 542 25 > >Can you share the implementation and include instructions on how to >replicate these tests? > >On Wed, May 24, 2017 at 05:50:52AM +0000, Battula Kishore wrote: >> Hi, >> >> This is Kishore who is working on async poc using mail >> id(kishore25ku...@gmail.com<mailto:kishore25ku...@gmail.com>). I work at >> adobe and we wanted to implement async support for jclouds library and >> contribute it back. >> >> From the last discussion I was asked to get the performance numbers for the >> two approaches. >> Approach 1: Using Http Async Library >> Approach 2: Using Outputstream >> >> Test setup: >> >> 1. Both the s3 proxy server and test runner are running in same Docker >> container in azure west-us region. >> >> 2. Azure storage account is also residing in same west-us region. >> >> 3. A bucket is prepopulated with 100,000 files, each file of 1 MB size >> before test start. >> >> 4. The test runner sends unique requests to s3proxy to download files. >> >> Virtual Machine spec: CPU - 8 cores, Memory - 28 GB (Standard_D4 Azure >> machine) >> >> S3proxy is running with 1 jetty worker thread in all the scenarios. The >> payload size used is 1 MB file. Here are the performance numbers. >> Test Runner Threads >> >> Iteration Per thread >> >> Approach >> >> Avg response time (ms) >> >> 99%tile time (ms) >> >> Throughput >> (Requests / sec) >> >> 1 >> >> 10,000 >> >> Async Http Lib >> >> 45 >> >> 87 >> >> 22 >> >> 5 >> >> 10,000 >> >> Async Http Lib >> >> 107 >> >> 159 >> >> 47 >> >> 10 >> >> 10,000 >> >> Async Http Lib >> >> 209 >> >> 282 >> >> 48 >> >> 1 >> >> 10,000 >> >> OutputStream >> >> 41 >> >> 85 >> >> 24 >> >> 5 >> >> 10,000 >> >> OutputStream >> >> 190 >> >> 283 >> >> 26 >> >> 10 >> >> 10,000 >> >> OutputStream >> >> 392 >> >> 542 >> >> 25 >> >> >> Summary: Under load Http Async Library approach is providing more throughput >> compared to Output stream approach. >> >> >> Both the approaches improve performance. The output stream approach can be >> used along with Http Async library approach which is giving around (3-5 ms) >> improvement in latency. >> >> Each approach is independent development. At this point I am keen to take up >> Http Async Library development. >> >> >> -- Thanks >> -- Kishore >> > >-- >Andrew Gaul >https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fgaul.org%2F&data=02%7C01%7C%7C8690ee3e00bc4e3da0e608d4a406565e%7Cfa7b1b5a7b34438794aed2c178decee1%7C0%7C0%7C636313794511467457&sdata=XQ%2FshVjdqC3KiVEuyH6%2FJvmDN5DHBmS0kIBx98V89KY%3D&reserved=0
