Giter Club home page Giter Club logo

trafficgenerator's Introduction

Traffic Generator

Brief Introduction

A simple traffic generator for network experiments.

The server listens for incoming requests, and replies with a flow with the requested size (using the requested DSCP value & sending at the requested rate) for each request.

The client establishes persistent TCP connections to a list of servers and randomly generates requests over TCP connections according to the client configuration file. If no available TCP connection, the client will establish a new one. Currently, we provide two types of clients: client and incast-client for dynamic flow experiments. For client, each request only consists of one flow (fanout = 1). For incast-client, each request can consist of several synchronized incast-like flows. A request is completed only when all its flows are completed.

In the client configuration file, the user can specify the list of destination servers, the request size distribution, the Differentiated Services Code Point (DSCP) value distribution, the sending rate distribution and the request fanout distribution, .

Build

In the main directory, run make, then you will see client, incast-client, simple-client (generate static flows for simple test), server and some python scripts in ./bin.

Quick Start

In the main directory, do following operations:

  • Start server
./bin/server -p 5001 -d
  • Start client
./bin/client -b 900 -c conf/client_config.txt -n 5000 -l flows.txt -s 123 -r bin/result.py
  • Start incast-client
./bin/incast-client -b 900 -c conf/incast_client_config.txt -n 5000 -l log -s 123 -r bin/result.py

Command Line Arguments

Server

Example:

./bin/server -p 5001 -d  
  • -p : the TCP port that the server listens on (default 5001)

  • -v : give more detailed output (verbose)

  • -d : run the server as a daemon

  • -h : display help information

Client

Example:

./bin/client -b 900 -c conf/client_config.txt -n 5000 -l flows.txt -s 123 -r bin/result.py
  • -b : desired average RX bandwidth in Mbits/sec

  • -c : configuration file which specifies workload characteristics (required)

  • -n : number of requests (instead of -t)

  • -t : time in seconds to generate requests (instead of -n)

  • -l : log file with flow completion times (default flows.txt)

  • -s : seed to generate random numbers (default current system time)

  • -r : python script to parse result files

  • -v : give more detailed output (verbose)

  • -h : display help information

Note that you need to specify either the number of requests (-n) or the time to generate requests (-t). But you cannot specify both of them.

Incast-Client

Example:

./bin/incast-client -b 900 -c conf/incast_client_config.txt -l log -s 123 -r bin/result.py

Same as client except for -l

  • -l : log file name prefix (default log)
    The prefix is used for the two output files with flow and request completion times.

Client Configuration File

The client configuration file specifies the list of servers, the request size distribution, the Differentiated Services Code Point (DSCP) value distribution, the sending rate distribution and the request fanout distribution (only for incast-client). We provide several client configuration files as examples in ./conf directory.

The format is a sequence of key and value(s), one key per line. The permitted keys are:

  • server: IP address and TCP port of a server.
server 192.168.1.51 5001
  • req_size_dist: request size distribution file path and name.
req_size_dist conf/DCTCP_CDF.txt

There must be one request size distribution file, present at the given path, which specifies the CDF of the request size distribution. See "DCTCP_CDF.txt" in ./conf directory for an example with proper formatting.

  • dscp: DSCP value and weight. The DSCP value and weight are both integers. Note that DSCP value should be smaller than 64.
dscp 0 25
dscp 1 25
dscp 2 25
dscp 3 25

For each request, the client chooses a DSCP value with a probability proportional to the weight. The traffic of the request and the corresponding response(s) will be marked with this DSCP value. If the user does not specify the DSCP distribution, the DSCP value is always 0 for all requests. This feature can be used to create multiple classes of traffic (e.g., section 5.1.2 of MQ-ECN paper).

  • rate: sending rate and weight. The sending rate (in Mbps) and weight are both integers.
rate 0Mbps 10
rate 500Mbps 30
rate 800Mbps 60

For each request, the client chooses a rate with a probability proportional to the weight. To enforce the sending rate, the sender will add some delay at the application layer. Note that 0Mbps indicates no rate limiting. If the user specifies very low sending rates, the client may achieve a much lower average RX throughput in practice, which is undesirable. If the user does not specify the sending rate distribution, the sender will not rate-limit the traffic. We suggest the user simply disabling this feature except for some special scenarios.

  • fanout: fanout value and weight. Note that only incast-client need this key. The fanout and weight are both integers.
fanout 1 50
fanout 2 30
fanout 8 20

For each request, the client chooses a fanout with a probability proportional to the weight. For example, with the above configuration, half the requests have fanout 1, and 20% have fanout 8. If the user does not specify the fanout distribution, the fanout size is always 1 for all requests.

##Output A successful run of client creates a file with flow completion time results. A successful run of incast-client creates two files with flow completion time results and request completion time results, respectively. You can directly use ./bin/result.py to parse these files.

In files with flow completion times, each line gives flow size (in bytes), flow completion time (in microseconds), DSCP value, desired sending rate (in Mbps) and actual per-flow goodput (in Mbps).

In files with request completion times, each line gives request size (in bytes), request completion time (in microseconds), DSCP value, desired sending rate (in Mbps), actual per-request goodput (in Mbps) and request fanout size.

##Contact For questions, please contact Wei Bai (http://sing.cse.ust.hk/~wei/).

##Publications

  • Paper on Traffic Generator: please use the citation below as the reference to Traffic Generator
Enabling ECN in Multi-Service Multi-Queue Data Centers
Wei Bai, Li Chen, Kai Chen, Haitao Wu
USENIX NSDI 2016

@inproceedings {194968,
    author = {Wei Bai and Li Chen and Kai Chen and Haitao Wu},
    title = {Enabling ECN in Multi-Service Multi-Queue Data Centers},
    booktitle = {13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 16)},
    year = {2016},
    month = Mar,
    isbn = {978-1-931971-29-4},
    address = {Santa Clara, CA},
    pages = {537--549},
    url = {https://www.usenix.org/conference/nsdi16/technical-sessions/presentation/bai},
    publisher = {USENIX Association},
}
  • Papers that use Traffic Generator:
ClickNP: Highly Flexible and High-performance Network Processing with Reconfigurable Hardware
Bojie Li, Kun Tan, Larry Luo, Renqian Luo, Yanqing Peng, Ningyi Xu, Yongqiang Xiong, Peng Cheng, Enhong Chen
ACM SIGCOMM 2016

Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers
Guo Chen, Yuanwei Lu, Yuan Meng, Bojie Li, Kun Tan, Dan Pei, Peng Cheng, Larry Luo, Yongqiang Xiong, Xiaoliang Wang, Youjian Zhao
USENIX ATC 2016

trafficgenerator's People

Contributors

baiwei0427 avatar justl avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.