Проект TOFFEE
ГЛАВНАЯДОКУМЕНТАЦИЯОБНОВЛЕНИЕВИДЕОИССЛЕДОВАНИЕСКАЧАТЬСПОНСОРЫконтакт


DOCUMENTATION 》 TOFFEE-Mocha Documentation :: TOFFEE-Mocha - Jitter feature

We need sometimes a distorted test WAN bandwidth since this may occur in real WAN Network due to various reasons. This effect will persist back-and-forth and will affect the WAN Bandwidth. And this is what called as Jitter. The frequency of this irregularity will depend on the problem which the WAN Network experiencing, speed of the WAN Network, packet corruption, packet drops and so on. So to simulate the same I have introduced the new Jitter feature in the TOFFEE-Mocha WAN Simulator. This enables you to throttle the bandwidth almost like a frequency modulated signal. So when Jitter delay is set in TOFFEE-Mocha and you diagnose the network performance graphs, you should get a graph with these characteristics.
signal modulation

My lab test topology: Here is my test lab topology in which TOFFEE-Mocha is deployed. It is connected to my external LAN Network via pfSense router installed as a VM. And along with the same, I have installed TOFFEE-Mocha test/build system and to which a test PC is connected. So the idea is to get network connectivity (external LAN network, host-PC, and Internet) to this test PC via TOFFEE-Mocha and via pfSense router.
TOFFEE-Mocha LAB test Topology
If you are more interested about my test VM Lab setup/network kindly watch these videos:

Here is my VirtualBox VM installed machines. Notice the machines which are booted:

  • pfSense router
  • TOFFEE-Mocha device
  • test PC

01 TOFFEE-Mocha WAN Emulator Jitter Feature VirtualBox VMs [CDN]

Here is my TOFFEE-Mocha port configuration:
02 TOFFEE-Mocha WAN Emulator Jitter Feature port configuration

Here are my TOFFEE-Mocha Jitter feature settings. So technically it should flip-flop between 10-15 ms delay with a jitter factor of about 20. Jitter factor works like frequency. Lesser the jitter factor value more is its frequency (flip-flops between the two states) and larger the value lesser the frequency.
03 TOFFEE-Mocha WAN Emulator Jitter Feature configuration

Here is my test PC where I managed to mount the remote SMB share(which is my host PC :: 192.168.0.88). And then I started file copy of this test tar-ball(a large sample file around 3GB) from this SMB share to this local VM test PC as shown below. The data-transfer of this file-copy operation should happen via pfSense Router and the TOFFEE-Mocha WAN emulator VM machines.
04 TOFFEE-Mocha WAN Emulator Jitter Feature test PC with mounted remote SMB share
05 TOFFEE-Mocha WAN Emulator Jitter Feature test PC copying large file from remote SMB share [CDN]

When we analyze the traffic via pfSense web GUI (connected via management port of the TOFFEE-Mocha device), you can see the traffic pattern. Basically it should flip-flop between two states. The high-bandwidth state is bit shorter than low bandwidth since most of the data gets transferred during this short span of time versus the longer/max delay jitter delay state. For demonstration purposes I set a large jitter factor (frequency). If you want you can adjust this parameter to a much lower value for higher frequencies.
06 TOFFEE-Mocha WAN Emulator Jitter Feature traffic analysis via pfSense

Now by adjusting the jitter range min/max micro-seconds/milli-seconds delay parameters you get a different bandwidth curve in pfSense as shown below.
07 TOFFEE-Mocha WAN Emulator Jitter Feature adjusting jitter range max and min delays [CDN]

08 TOFFEE-Mocha WAN Emulator Jitter Feature adjusting jitter range max and min delays pfsense analysis [CDN]

Here is my live demo video of the new TOFFEE-Mocha Jitter feature:



Предлагаемые темы:


TOFFEE-Mocha - WAN Emulator


Categories

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


Рекомендуемые темы:

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

WAN Optimization iPhone and Android - Mobile App ↗
Saturday' 13-Mar-2021

TOFFEE-Butterscotch Bandwidth saver software development - Update: 17-Nov-2016 ↗
Saturday' 13-Mar-2021
Here is my second software development update of TOFFEE-Butterscotch. In the previous update (28-Oct-2016) I discussed about the Alerts, etc. Whereas in my first TOFFEE-Butterscotch news update I have introduced about TOFFEE-Butterscotch research, project specifications, use-cases, etc.

TOFFEE Data-Center WAN Optimization deployment in Big Data Analytics ↗
Saturday' 13-Mar-2021

TOFFEE-Mocha WAN Emulation software development - Update: 20-Oct-2016 ↗
Saturday' 13-Mar-2021
I was doing some specific tests in my TOFFEE and TOFFEE-DataCenter (WAN optimization) scenarios such as variable upload and download speeds. And I was also doing some experiments with speedtest.net and I did some of these tests with TOFFEE-Mocha. I realized there is a case that I can introduce asymmetric constant delays so that you can get different download speed and a different upload speed. And in some cases much faster download speeds and relatively slower upload speeds.

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



First TOFFEE-Butterscotch Code Release ↗
Saturday' 13-Mar-2021
TOFFEE-Butterscotch is a variant of TOFFEE can be used to save and optimize your Home/SOHO Internet/WAN bandwidth. Unlike TOFFEE (and TOFFEE-DataCenter) TOFFEE-Butterscotch is a non peer-to-peer (and asymmetric) network optimization solution. This makes TOFFEE-Butterscotch an ideal tool for all Home and SOHO users.

Why TOFFEE is forked from TrafficSqueezer ↗
Saturday' 13-Mar-2021
TrafficSqueezer is an open-source WAN Optimization project. TrafficSqueezer is mainly a research project which is started around mid-2006. It is initially started as a research (or prototype) code even before it is officially registered in Sourceforge.net. But this code is just primitive user-space raw socket modules. This is later refined and a pre-alpha version is created. Followed by which Alpha release. This prototype code is moved from user-space to Linux Kernel (Kernel Space) and then the journey begin in terms of making a serious WAN Optimization solution. Once the pre-beta and beta releases are complete the mainstream series is started.

VPN Network Optimization via TOFFEE WAN Optimization ↗
Saturday' 13-Mar-2021
VPN Networks may degrade network performance due to various packet processing overheads such as encryption and by adding extra network protocol header(s) (such as IPv4/IPv6, IPSec, etc). This may inflate near MTU sized packets and causes excessive packet fragmentation. Here are the few examples of packet processing involved in a VPN (or a VPN like) Tunnel. With TOFFEE you can optimize these packets even before they get processed on to a VPN device. TOFFEE optimizes packet contents (application payload and transport headers) so that these TOFFEE optimized packets when they get processed by VPN devices (or VPN software stack) they may never need further packet fragmentation. Here is a deployment scenario of TOFFEE with VPN devices.

A study on Deep Space Networks (DSN) ↗
Saturday' 13-Mar-2021
When you are dealing Deep Space Networks (DSN) one among the most challenging parts is the Interplanetary distances and communicating data across such vast distances. This is where we are not dealing with common Internet type traffic such as HTTP/FTP/VoIP/etc but it is completely different when it comes to DSN so far. So optimizing data in DSN becomes mandatory. For example if you think one of the Mars Rovers, they have used LZO lossless compression.



Featured Educational Video:
Watch on Youtube - [1836//1] x257 tp-link UE300 Linux Kernel Realtek Driver Codewalk rtl8153a-3 r8152 USB 3.0 to Gigabit - Part1 ↗

First TOFFEE Code Release ↗
Saturday' 13-Mar-2021
I started working on the new TOFFEE project (which is the fork of my earlier TrafficSqueezer open-source project) starting from 1st January 2016 onwards. Ever since I was busy in research and altering certain old features so that it is more minimal than TrafficSqueezer, a more focused agenda, deliver refined code and a broader vision. I have lined up more things to follow in the upcoming months. I want to focus about all aspects of WAN communication technologies not just on core WAN Optimization research and technology.

TOFFEE-Mocha Documentation :: TOFFEE-Mocha-1.0.18-1-x86_64 ↗
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.

Why TOFFEE is forked from TrafficSqueezer ↗
Saturday' 13-Mar-2021
TrafficSqueezer is an open-source WAN Optimization project. TrafficSqueezer is mainly a research project which is started around mid-2006. It is initially started as a research (or prototype) code even before it is officially registered in Sourceforge.net. But this code is just primitive user-space raw socket modules. This is later refined and a pre-alpha version is created. Followed by which Alpha release. This prototype code is moved from user-space to Linux Kernel (Kernel Space) and then the journey begin in terms of making a serious WAN Optimization solution. Once the pre-beta and beta releases are complete the mainstream series is started.



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

TOFFEE-Mocha Documentation :: TOFFEE-Mocha-1.0.32-1-x86_64 and TOFFEE-Mocha-1.0.32-1-i386 ↗
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


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