Comments (2)
One thing you can do is to increase your scaling factor and make your dataset bigger than 10GB. But you should not expect the results to change that much. It's true that these types of workloads (cloud services) cannot saturate the memory bandwidth, and the off-chip bandwidth exceeds needs significantly, which has been priorly shown in the "Clearing the Clouds" paper.
BTW, Memcached is known to have scalability bottlenecks and it might not be a good idea to tun one instance of Memcached with many threads. Instead, you can run multiple instances of Memcached.
from cloudsuite.
I'm closing this for now.
Feel free to reopen it if you have any further questions.
from cloudsuite.
Related Issues (20)
- HHVM and Django left overs
- Better documentation how to run the workloads
- Add to the configuration parameters of the docker, the number of vcpus that will be allocated to Spark and Hadoop
- Media Streaming Should Have High-Resolution Video (1080p, 4K)
- In-Memory doc
- Data Analytics implementation questions HOT 10
- Media Streaming Multi-node HOT 4
- Ramp up workload intensity for Data-Caching and Data-Serving Benchmarks HOT 1
- media streaming dataset: Issue with running ffmpeg - timestamp out of range HOT 1
- Can I run cloudsuite benchmark on arm64 architecture directly by offical code? HOT 13
- Sysbench Meets Error When Running on ARM64 Platform
- In-memory analytics benchmark run question HOT 8
- media-streaming dataset error HOT 7
- Investigate CloudSuite web serving workload in QEMU
- Instructions for compiling for RISC-V ISA (Data-caching) HOT 3
- Starting the web-server for the the web-serving benchmark fails as rootless
- data-analytics: Native library missing for arm64 HOT 1
- data-analytics: failure to run benchmark on different hosts without proper DNS resolution of nodes
- data-caching: cache not warmed up?
- Data caching DNS Error HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from cloudsuite.