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EDUCATION :: THE TOFFEE PROJECT :: Education

Teaching is one of my favorite hobbies. So apart from devoting my time on consulting, research, I devote my time in teaching. I teach students via on-line and sometimes at my home. I also primarily teach via my YouTube Channel: The Linux Channel
The Linux Channel banner

If you are interested to join classes on Networking, Linux, Systems software, etc with live demo training sessions you can contact me. You can learn via distance learning platform. I teach my students in old fashioned way the "Guru-Shishya" model. And I believe this is how the education should be given with no strings attached and boundaries !

Education :: Discussion Forum Students will also get privileged access to Education :: Forum for life-time. They can discuss their core technical concepts with other students and with me. They can get their queries clarified not just while they are studying but throughout entire course of their career. This will also help building a strong bond and community of like minded individuals working on Linux and other open-source software projects/technologies.

To join a course: You can send me an email along with your updated resume to enroll and to join for a class: [email protected]

You can read about Guru–shishya tradition in Wikipedia to understand its essence: HERE

* Click HERE for complete list of students who joined the course.

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


Recommended Topics:

TOFFEE deployment topology guide ↗
Saturday' 13-Mar-2021
Assume you have two sites (such as Site-A and Site-B) connected via slow/critical WAN link as shown below. You can optimize this link by saving the bandwidth as well possibly improve the speed. However, the WAN speed can be optimized only if the WAN link speeds are below that of the processing latency of your TOFFEE installed hardware. Assume your WAN link is 12Mbps, and assume the maximum WAN optimization speed/capacity of Raspberry Pi is 20Mbps, then your link will get speed optimization too. And in another case, assume your WAN link is 50Mbps, then using the Raspberry Pi as WAN Optimization device will actually increase the latency (i.e slows the WAN link). But in all the cases the bandwidth savings should be the same irrespective of the WAN link speed. In other words, if you want to cut down the WAN link costs via this WAN Optimization set up, you can always get it since it reduces the overall bandwidth in almost all the cases (including encrypted and pre-compressed data).

YouTube Video Network Traffic Optimization - WAN Optimization Demo ↗
Saturday' 13-Mar-2021

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

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

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

TOFFEE DataCenter WAN Optimization - Google Hangouts demo and VOIP Optimization ↗
Saturday' 13-Mar-2021
TOFFEE DataCenter WAN Optimization - Google Hangouts demo and VOIP Optimization



TOFFEE-Mocha-1.0.32-1-x86_64 and TOFFEE-Mocha-1.0.32-1-i386 Code Release ↗
Saturday' 13-Mar-2021
This is my first TOFFEE-Mocha combined x86-64 and i386 (Intel x86 64-bit and 32-bit) code release.

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

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

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 - [171//1] 169 Q&A - Add additional HardDrive or storage space in Linux VirtualBox VM ↗

TOFFEE (and TOFFEE-DataCenter) optimized Wireless Mesh-Networks - B.A.T.M.A.N [open-mesh.org (Open Mesh)] ↗
Saturday' 13-Mar-2021
TOFFEE/TOFFEE-DataCenter can be used to optimize Ad-Hoc Mobile Wireless Mesh-Networks. To learn more about the same here are some references: B.A.T.M.A.N. - https://en.wikipedia.org/wiki/B.A.T.M.A.N. Mobile ad hoc network (MANET) - https://en.wikipedia.org/wiki/Mobile_ad_hoc_network Wireless ad hoc network (WANET) - https://en.wikipedia.org/wiki/Wireless_ad_hoc_network open-mesh.org (Open Mesh) Wiki - https://www.open-mesh.org/projects/open-mesh/wiki

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

My Lab Battery Purchase and Service logs for Research ↗
Saturday' 13-Mar-2021
Here is a complete log of my lab battery purchase, service record which I maintain in Google drive. These I use for my home (or my family generic use) as well as a part of my home lab. I maintain a detailed log this way to monitor the failure rate of these batteries. This will allow me to select a specific brand/model which has higher success rate and to monitor any premature failure/expiry. The service log helps me to monitor and schedule the next service routine so that I can maintain these batteries in tip-top condition.

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).



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

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.



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