TOFFEEプロジェクト
ホームドキュメンテーション更新ビデオ研究ダウンロードスポンサー接触


NEWS & UPDATES 》 TOFFEE-Mocha WAN Emulation software development - Update: 18-June-2016

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.

As you can see below the Random Packet drop feature have two options to set. The first option is to enable or disable the feature. The second option is to set its probability. If the value chosen is 1, then it has the probability of a random number between 1-10. So there are more chances that the packet may get drop. And as the way you increase this value to 2 and 3 and so on. The probability of packets randomly being dropped will reduce.

Screenshot of TOFFEE-Mocha Packet Drop settings page:
TOFFEE Mocha packet drop settings

Unlike before you can see there is a dedicated page to configure the Packet delay feature. Here is the screenshot of the new TOFFEE-Mocha updated Packet Delay settings page:
TOFFEE-Mocha settings packet delay

Updated TOFFEE-Mocha Big-Picture Page:
With the new features in place, I need to update the Big-Picture page. With more features in place, I need to organize the content (or settings) shown in the big-picture. So I categorized the Packet Drop settings and Packet Delay settings in the big-picture as shown below:
TOFFEE-Mocha big picture page

Live testing of TOFFEE-Mocha Random Packet Drop feature and test results: I did a simple setup with my PC configured as a TOFFEE-Mocha WAN Emulation device. And two laptops connected to the PC's two NIC cards. This way I can send traffic via TOFFEE-Mocha. I enabled the Random Packet drop feature and did three sample tests with drop factor value 1, drop factor value 2 and then finally drop factor value 3. As you can see below statistics depending on the drop factor you can see the probability of packets getting dropped is being adjusted. Here is the live statistics of the same.
TOFFEE-Mocha WAN Emulation Random packet drop

And you can see the overall consolidated report of the same in the TOFFEE-Mocha Home page.
TOFFEE-Mocha home page consolidated reports

I have capture a live video (and video-log) of these tests so that you can watch it live in my Youtube video below. Along with the same I have also discussed the above features which I have so far supported and the overall project update.

Here is my Youtube VLOG of the same:



Suggested Topics:


TOFFEE-Mocha - WAN Emulator


Categories

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


おすすめトピック:

Communication data network standards and data transfer speeds :: Chart ↗
Saturday' 13-Mar-2021
Here is a complete chart comprising popular communication data network standards and their respective transfer rates. I hope this reference chart will help network engineers and network software developers while performing networking tests and experiments, building WAN/network products, building WAN simulated networks of a specific standard and so on. This may also helps us to track technological advancements of communication data networks.

TOFFEE Documentation :: TOFFEE-1.1.24-3-rpi2 ↗
Saturday' 13-Mar-2021
Here is my VLOG Youtube video of the same which includes details about version release notes, future road-map and so on. The TOFFEE release is highly optimized and customized for hardware platforms such as x86-64 based Intel NUC and other Intel mobile computing platforms such as laptops and so on. This version (or release) is not suited and so not recommended to be used for high-end desktop and server hardware platform.

My sample Wireshark packet capture files for research ↗
Saturday' 13-Mar-2021
I have a huge repository (or collection) of sample Wireshark packet capture files for reference. I use them extensively for research and development of TOFFEE as well to understand various protocol PDUs and protocol standards. I personally collected various test captures via Wireshark during my test and experimental research setup during the course of TOFFEE development. Say if you are a student and learning Networking and or say VoIP data and VoIP packets, you can analyse my VoIP sample Wireshark captures. Or in other case assume you are doing some quick research (or development) and want to refer few handful of VoIP packets then you can download and analyse my sample packet capture files.

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

Network Latency in WAN Networks and performance optimization ↗
Saturday' 13-Mar-2021
Here is my video article on Network Latency in WAN Networks (such as long distance Satellite links, etc) and how you can optimize the same to achieve better network performance.

TOFFEE (and TOFFEE-DataCenter) optimized Mobile Wireless Backhaul Networks ↗
Saturday' 13-Mar-2021
TOFFEE can be used to optimize expensive Wireless backhaul network infrastructure. TOFFEE can be deployed over existing slow or often outdated old backhaul networks too. This will leverage mobile ISPs and network service providers to reduce their bulk IT CapEx and OpEx Costs.

Youtubeで見る - [466//1] 158 VLOG - TOFFEE WAN Optimization Software Development live update - 6-Nov-2016 ↗


TOFFEE Data-Center optimized Internet of Things (IoT) Platform ↗
Saturday' 13-Mar-2021

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.

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.

My sample Wireshark packet capture files for research ↗
Saturday' 13-Mar-2021
I have a huge repository (or collection) of sample Wireshark packet capture files for reference. I use them extensively for research and development of TOFFEE as well to understand various protocol PDUs and protocol standards. I personally collected various test captures via Wireshark during my test and experimental research setup during the course of TOFFEE development. Say if you are a student and learning Networking and or say VoIP data and VoIP packets, you can analyse my VoIP sample Wireshark captures. Or in other case assume you are doing some quick research (or development) and want to refer few handful of VoIP packets then you can download and analyse my sample packet capture files.



Featured Educational Video:
Youtubeで見る - [4073//1] 0x1c9 NAS OS | Expert's take on FreeNAS vs UNRAID | My two cents | Best Tips ↗

TOFFEE-DataCenter a TOFFEE variant for Data Center applications ↗
Saturday' 13-Mar-2021

Skype VOIP Data - WAN Acceleration ↗
Saturday' 13-Mar-2021

TOFFEE-Butterscotch Documentation :: TOFFEE-Butterscotch-1.0.11-rpi2-23-nov-2016 ↗
Saturday' 13-Mar-2021
TOFFEE-Butterscotch Documentation :: TOFFEE-Butterscotch-1.0.11-rpi2-23-nov-2016

Power consumption of my Home Lab devices for research ↗
Saturday' 13-Mar-2021
Here is my power-consumption measurements of various devices deployed within my home lab. I measured via my kill-a-watt sort of power-meter which is fairly reliable and accurate. I checked its accuracy with various standard load such as Philips LED laps and other constant power-consuming devices to make sure that the power-meter is precise.




TOFFEE-DataCenter with GlusterFS Storage Cluster ↗
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


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