The TOFFEE Project
HOMEDOCUMENTATIONUPDATESVIDEOSRESEARCHDOWNLOADSPONSORSCONTACT


DOCUMENTATION 》 TEST CASES :: TEST RESULTS :: TOFFEE-Mocha-1.0.14 Development version

Here are the TOFFEE-Mocha test cases and test results of the upcoming new TOFFEE-Mocha which is still under development. The features of this TOFFEE-Mocha are discussed in the software development update: TOFFEE-Mocha WAN Emulation software development - Update: 1-July-2016

Test case1 :: 999 millisecond constant packet delay: As you can see unlike 40 milliseconds the maximum limit which existed earlier, the new 999 milliseconds delay range allows users to slow down the transfer rates even further.

[email protected]:~/temp$ ping 192.168.0.1 -s 1000
PING 192.168.0.1 (192.168.0.1) 1000(1028) bytes of data.
1008 bytes from 192.168.0.1: icmp_seq=1 ttl=64 time=2000 ms
1008 bytes from 192.168.0.1: icmp_seq=2 ttl=64 time=2000 ms
1008 bytes from 192.168.0.1: icmp_seq=3 ttl=64 time=2000 ms
1008 bytes from 192.168.0.1: icmp_seq=4 ttl=64 time=2000 ms
1008 bytes from 192.168.0.1: icmp_seq=5 ttl=64 time=2998 ms
1008 bytes from 192.168.0.1: icmp_seq=6 ttl=64 time=2997 ms
1008 bytes from 192.168.0.1: icmp_seq=7 ttl=64 time=3995 ms
1008 bytes from 192.168.0.1: icmp_seq=8 ttl=64 time=3985 ms
1008 bytes from 192.168.0.1: icmp_seq=9 ttl=64 time=3984 ms
1008 bytes from 192.168.0.1: icmp_seq=10 ttl=64 time=3984 ms
1008 bytes from 192.168.0.1: icmp_seq=11 ttl=64 time=3983 ms
1008 bytes from 192.168.0.1: icmp_seq=12 ttl=64 time=3982 ms
1008 bytes from 192.168.0.1: icmp_seq=13 ttl=64 time=3984 ms
1008 bytes from 192.168.0.1: icmp_seq=14 ttl=64 time=3982 ms
^C
--- 192.168.0.1 ping statistics ---
18 packets transmitted, 14 received, 22% packet loss, time 17007ms
rtt min/avg/max/mdev = 2000.042/3277.214/3995.537/873.965 ms, pipe 4
[email protected]:~/temp$

Test case2 :: 500 millisecond constant packet delay: With 500 milliseconds you get roughly double the performance of 999 milliseconds.

[email protected]:~/temp$ ping 192.168.0.1 -s 1000
PING 192.168.0.1 (192.168.0.1) 1000(1028) bytes of data.
1008 bytes from 192.168.0.1: icmp_seq=1 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=2 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=3 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=4 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=5 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=6 ttl=64 time=1488 ms
1008 bytes from 192.168.0.1: icmp_seq=7 ttl=64 time=1481 ms
1008 bytes from 192.168.0.1: icmp_seq=8 ttl=64 time=1481 ms
1008 bytes from 192.168.0.1: icmp_seq=9 ttl=64 time=1008 ms
1008 bytes from 192.168.0.1: icmp_seq=10 ttl=64 time=1002 ms
^C
--- 192.168.0.1 ping statistics ---
11 packets transmitted, 10 received, 9% packet loss, time 10017ms
rtt min/avg/max/mdev = 1002.077/1147.151/1488.063/220.133 ms, pipe 2
[email protected]:~/temp$

Test case3 :: 500 millisecond constant packet delay + random packet delay: With constant delay (in this case 500 milliseconds) if you enable the new random packet delay feature, it will skip delay randomly few packets. Which can be controlled via random delay factor. In this case the random delay factor value is set to 1. And you can see below few packets are not delayed. Hence their ping response time almost reduced to half (i.e around 500 ms).

[email protected]:~/temp$ ping 192.168.0.1 -s 1000
PING 192.168.0.1 (192.168.0.1) 1000(1028) bytes of data.
1008 bytes from 192.168.0.1: icmp_seq=1 ttl=64 time=1503 ms
1008 bytes from 192.168.0.1: icmp_seq=2 ttl=64 time=1497 ms
1008 bytes from 192.168.0.1: icmp_seq=3 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=4 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=5 ttl=64 time=1001 ms
1008 bytes from 192.168.0.1: icmp_seq=6 ttl=64 time=1001 ms
1008 bytes from 192.168.0.1: icmp_seq=7 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=8 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=9 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=10 ttl=64 time=419 ms
1008 bytes from 192.168.0.1: icmp_seq=11 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=12 ttl=64 time=1001 ms
1008 bytes from 192.168.0.1: icmp_seq=13 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=14 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=15 ttl=64 time=1001 ms
1008 bytes from 192.168.0.1: icmp_seq=16 ttl=64 time=502 ms
1008 bytes from 192.168.0.1: icmp_seq=17 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=18 ttl=64 time=502 ms
1008 bytes from 192.168.0.1: icmp_seq=19 ttl=64 time=1002 ms
1008 bytes from 192.168.0.1: icmp_seq=20 ttl=64 time=1001 ms
1008 bytes from 192.168.0.1: icmp_seq=21 ttl=64 time=1002 ms
^C
--- 192.168.0.1 ping statistics ---
22 packets transmitted, 21 received, 4% packet loss, time 21029ms
rtt min/avg/max/mdev = 419.093/974.135/1503.026/250.662 ms, pipe 2
[email protected]:~/temp$

Random Packet delay: As discussed in my VLOG/update earlier, the idea of Random packet delay is to introduce the fluctuating, bursty nature of packet flow. So here are various tests done which shows the same in action. These tests below are performed while downloading a large file by enabling random packet delay along with various values of constant packet delay.

Test case4 :: 2 millisecond constant packet delay + random packet delay: With constant delay of 2 millisecond and random packet delay you can notice the blue curve which almost appears constant. The traffic in this case is bursty but it is not that significant to notice in the graph shown below.
TOFFEE_Mocha_2ms_delay_with_random_packet_delay

Test case5 :: 10 millisecond constant packet delay + random packet delay: With constant delay of 10 millisecond and random packet delay you can notice the blue curve which almost appears constant. The traffic in this case is bursty but it is not that significant to notice in the graph shown below. But it appears somewhat fluctuating than the 5 millisecond test case4 above.
TOFFEE_Mocha_10ms_delay_with_random_packet_delay

Test case6 :: 200 millisecond constant packet delay + random packet delay: With constant delay of 200 millisecond and random packet delay you can notice the fluctuating blue curve. With this we can understand the true purpose of random packet delay.
TOFFEE_Mocha_200ms_delay_with_random_packet_delay

Test case7 :: 200 millisecond constant packet delay + WITHOUT random packet delay: With constant delay of 200 millisecond and WITHOUT random packet delay feature enabled you can notice the steady blue curve. This is a direct comparison of a test case with constant packet delay 200 millisecond with and without random packet delay. With random packet delay it makes the network performance choppy, fluctuating and bursty, but without random packet delay feature the network performance appears almost constant.
TOFFEE_Mocha_200ms_delay_without_random_packet_delay

So in my next upcoming TOFFEE-Mocha release I may include all these new features and updated old features. If you are in need of any specific feature (or scenario) you can kindly let know. If plausible and feasible I can support the same and release as a part of my upcoming TOFFEE-Mocha release. Kindly stay tuned !



Suggested Topics:


TOFFEE-Mocha - WAN Emulator


Categories

💎 TOFFEE-MOCHA new bootable ISO: Download
💎 TOFFEE Data-Center Big picture and Overview: Download PDF


Recommended Topics:

TOFFEE Benchmarks :: TOFFEE-1.1.28 ↗
Saturday' 13-Mar-2021
Here is the TOFFEE WAN Optimization benchmarks of the TOFFEE version: TOFFEE-1.1.28. This is the current TOFFEE development version till date (2-Jul-2016). This is a HPC TOFFEE variant meant for high-end custom build servers and high-end desktops (i.e High Performance Computing a.k.a HPC). TOFFEE built this way often needs customized kernel compilation and build such as processor specific and hardware specific tune-ups since it is highly CPU intensive (if not offloaded via Hardware Accelerator Cards).

Tweaking Network Latency - Live Demo - via TOFFEE-DataCenter ↗
Saturday' 13-Mar-2021

TOFFEE Download :: TOFFEE-1.1.70-1-portable ↗
Saturday' 13-Mar-2021

Raspberry Pi as a Networking Device ↗
Saturday' 13-Mar-2021
Raspberry Pi is often used as a single board computer for applications such as IoT, hobby projects, DIY, education aid, research and prototyping device. But apart from these applications Raspberry Pi can be used for real-world applications such as in making a full-fledged networking devices. Raspberry Pi is a single board ARM based hardware which is why it is also classified as ARM based SoC. Since it is ARM based it is highly efficient, tiny form-factor and lower in power consumption with moderate computational power. This will allow it to work several hours on emergency battery backup power supply such as low-cost domestic UPS and or some renewable energy source, which is a prerequisite for a typical networking device.

CDN Content Delivery Networks - Types ↗
Saturday' 13-Mar-2021

MySQL Database Network Data - WAN Acceleration ↗
Saturday' 13-Mar-2021
Here is a quick demo of TOFFEE WAN Optimization optimizing MySQL Data transfers of a MySQL Client to Server Remote Access.

Watch on Youtube - [913//1] 293 - iPerf Network Optimization - WAN Optimization Demo ↗


TOFFEE-Mocha WAN Emulator Jitter Feature ↗
Saturday' 13-Mar-2021

First TOFFEE-Mocha Code Release ↗
Saturday' 13-Mar-2021
TOFFEE-Mocha is my dream project which I thought working on it since several years. I want to make a WAN emulation software which is straight forward and simple to use. I used tc scripts along with iptables for testing my TOFFEE (and TrafficSqueezer before TOFFEE) and I am not quite satisfied with the same. As one can understand these scripts are not meant for WAN emulation.

Amazon Prime video - Video Acceleration No more Buffering Problems - WAN Acceleration ↗
Saturday' 13-Mar-2021

Network Latency and Bandwidth Assessment - for Network Admins and Infrastructure Architects ↗
Saturday' 13-Mar-2021



Featured Educational Video:
Watch on Youtube - [808//1] x23b 802.3x Ethernet Flow Control | L2 multicast | Switching protocols ↗

Tweaking Network Latency - Live Demo - via TOFFEE-DataCenter ↗
Saturday' 13-Mar-2021

TOFFEE-Mocha Documentation :: TOFFEE-Mocha-1.0.14-1-rpi2 - Raspberry Pi WAN Emulator ↗
Saturday' 13-Mar-2021

TOFFEE-Mocha WAN Emulation software development - Update: 17-June-2016 ↗
Saturday' 13-Mar-2021
Now I supported and finished complete GUI support of these parameters so that you can configure, store, reboot and the same will restore upon reboot. Besides I complete the TOFFEE-Mocha Big-Picture page. The Big picture is an interface where you can find all the configuration (or settings) of the TOFFEE-Mocha. This is almost similar to CISCO device show all command but in graphical representation. Sometimes a network admin can also print the Big Picture page and paste it near to the device to refer its settings.

Tracking Live Network Application Data - in a WAN Acceleration (WAN Optimization) Device ↗
Saturday' 13-Mar-2021




A study on WAN Optimization Techniques ↗
Saturday' 13-Mar-2021
There are various techniques with which one can optimize their WAN Network Data. Any long distance communication can be considered as WAN Network. A decade ago any network connecting two countries, considered as a WAN network, and a network within a city as MAN and soon. But these days in general any long distance communication is considered as WAN Network. Such as your Mobile communication networks, Satellite networks, Space Networks (Deep space networks), Trans-Atlantic cable networks, etc.



Research :: Optimization of network data (WAN Optimization) at various levels:
Network File level network data WAN Optimization


Learn Linux Systems Software and Kernel Programming:
Linux, Kernel, Networking and Systems-Software online classes [CDN]


Hardware Compression and Decompression Accelerator Cards:
TOFFEE Architecture with Compression and Decompression Accelerator Card [CDN]


TOFFEE-DataCenter on a Dell Server - Intel Xeon E5645 CPU:
TOFFEE-DataCenter screenshots on a Dual CPU - Intel(R) Xeon(R) CPU E5645 @ 2.40GHz - Dell Server