El proyecto TOFFEE
CASADOCUMENTACIÓNACTUALIZACIONESVIDEOSINVESTIGACIÓNDESCARGARPATROCINADORESCONTACTO


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.

kiran@HP-ENVY-15:~/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
kiran@HP-ENVY-15:~/temp$

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

kiran@HP-ENVY-15:~/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
kiran@HP-ENVY-15:~/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).

kiran@HP-ENVY-15:~/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
kiran@HP-ENVY-15:~/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 !



Temas sugeridos:


TOFFEE-Mocha - WAN Emulator


Categories

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


Temas recomendados:

TEST CASES :: TEST RESULTS :: TOFFEE-Mocha-1.0.32 asymmetric constant packet delay feature ↗
Saturday' 13-Mar-2021

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

Demo TOFFEE-DataCenter WAN Optimization packaging feature ↗
Saturday' 13-Mar-2021

TOFFEE-DataCenter - First Live Demo and software development - Update: 26-Aug-2016 ↗
Saturday' 13-Mar-2021
Today I have done a test setup so that I can able to connect my Android Samsung Tab via TOFFEE DataCenter. Below is my complete test topology of my setup. For demo (and research/development) context I configured TOFFEE DataCenter in engineering debug mode. So I do not need two devices for this purpose.

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.

CDN Introduction - Content Delivery Networks or Content Distribution Networks ↗
Saturday' 13-Mar-2021



Building my own CDN - Finally Completed - Update: 17-Dec-2017 ↗
Saturday' 13-Mar-2021
Today I finally completed building my own private CDN. As I discussed so far in my earlier topics (Building my own CDN), I want to custom build the same step-by-step from scratch. And I don't want to for now use/buy third-party CDN subscriptions from Akamai, CloudFlare, Limelight, etc as I discussed earlier.

CDN Introduction - Content Delivery Networks or Content Distribution Networks ↗
Saturday' 13-Mar-2021

Network Packet Queue or Buffer - Packet Flow Control, Fragmentation and MTU ↗
Saturday' 13-Mar-2021
Network Packet Queue or Buffer - Packet Flow Control, Fragmentation and MTU

TEST CASES :: TEST RESULTS :: TOFFEE-Mocha-1.0.14 Development version ↗
Saturday' 13-Mar-2021



Featured Educational Video:
Watch on Youtube - [17445//1] 294 - VRF - Virtual Routing and Forwarding - Introduction ↗

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.

TOFFEE-Mocha WAN Emulation software development - Update: 18-June-2016 ↗
Saturday' 13-Mar-2021
In the previous update (17-Jun-2016) I discussed about the upcoming new Random Packet drop feature along with other completed features. Now I completed the entire TOFFEE-Mocha Random packet drop feature. I completed all the kernel components and the UI support of the same. And to make GUI settings more organized I split the earlier Basic-Settings page into two separate pages namely: Packet Drop and Packet Delay. So this way it is simple to understand settings according to their functionality.

Timelapse Screen Capture of TOFFEE-DataCenter Network Acceleration - with new RRDtool graph support ↗
Saturday' 13-Mar-2021
Timelapse Screen Capture of TOFFEE-DataCenter Network Acceleration - with new RRDtool graph support

INDEX :: Content Delivery Networks or Content Distribution Networks (CDN) ↗
Saturday' 13-Mar-2021



Watch on Youtube - [889//1] 280 WAN Optimization - Animated demo of Packet Optimization in TOFFEE-DataCenter ↗

Off-Grid Home Lab Research Solar Installation ↗
Saturday' 13-Mar-2021



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


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