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DOCUMENTATION 》 TOFFEE-DataCenter a TOFFEE variant for Data Center applications

TOFFEE-DataCenter a TOFFEE variant for Data Center applications: TOFFEE Data-Center (a variant of TOFFEE) is specifically meant for Data Center, Cluster Computing, HPC, SDN, VM applications. TOFFEE is built in Linux Kernel core. TOFFEE Data-Center will have basic minimal kernel module plus TOFFEE user-space components. The entire packet processing is done within user-space. And these modules can be spawned according to the load, and system's hardware capabilities. In a typical Gigabit system, you can have 10-100 such threads executing simultaneously. And if required based on the load, new threads can be spawned dynamically. With high-speed load balancing systems, you can build a complete WAN Optimization hardware cluster based on TOFFEE Data-Center variant. Here is an example of TOFFEE Data-Center deployment in which TOFFEE Data-Center is deployed in single or in multiple servers with optional load-balancers.
* Here are the TOFFEE-DataCenter supported features.

TOFFEE-DataCenter WAN Optimization

Learn more about: TOFFEE WAN Optimization deployment



Suggested Topics:


TOFFEE - WAN Optimization


Categories

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


Recommended Topics:

TOFFEE-Mocha WAN Emulation software development - Update: 19-July-2016 ↗
Saturday' 13-Mar-2021
Today I refined the first page consolidated report graphs. TOFFEE-Mocha (unlike TOFFEE) is a WAN Emulator, so the graphs are supposed to highlight this purpose and should display the overall network activity. Unlike TOFFEE, the TOFFEE-Mocha report should contain in general what is received versus what is sent across the wire. In case if the packet drop feature is enabled, you should see few missing bytes and packets. Similarly in future I may support packet duplication feature, in that case you may see more packets/bytes sent versus the packets/bytes actually received.

Bufferbloat in a Networking Device or an Appliance ↗
Saturday' 13-Mar-2021

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

Building my own CDN - Google PageSpeed Insights - Update: 22-Jul-2016 ↗
Saturday' 13-Mar-2021
Ever since after I launched my new The TOFFEE Project website on 1-May'2016, I can see there is a steep increase in traffic. Soon after the launch when I monitored its Alexa rankings it was reporting about 12 Million or so. But once it is getting more and more traffic the Alexa rankings shot up and now currently it shows around 2 Million (as on 22-July-2016). Alexa is an excellent tool to monitor your overall website global ranking and indirectly its performance. Unlike Google Analytics which is bound one or other way into Google's SEO. Alexa gives you a second opinion about your website's growth.

TOFFEE-DataCenter as a VNF for NFV ↗
Saturday' 13-Mar-2021

My Lab HDD and SSD logs for research ↗
Saturday' 13-Mar-2021



Network Latency and Bandwidth Assessment - for Network Admins and Infrastructure Architects ↗
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.

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.

Network MTU research and optimization of WAN Links ↗
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Network MTU research and optimization of WAN Links



Featured Educational Video:
Watch on Youtube - [8613//1] x254 Kernel Init Code without Kernel Module - Kernel Programming Tip #linode ↗

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

Streaming CDN Types ↗
Saturday' 13-Mar-2021

The TOFFEE Project :: TOFFEE-Mocha :: WAN Emulator ↗
Saturday' 13-Mar-2021
The TOFFEE Project :: TOFFEE-Mocha :: Linux Open-Source WAN Emulator

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.



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

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