Проект TOFFEE
ГЛАВНАЯДОКУМЕНТАЦИЯОБНОВЛЕНИЕВИДЕОИССЛЕДОВАНИЕСКАЧАТЬСПОНСОРЫконтакт


DOCUMENTATION 》 TOFFEE Data-Center optimized Internet of Things (IoT) Platform

The Internet of Things (IoT) is revolutionizing the world in more ways than most people realize. Market research shows that, the global market for IoT in 2020 is going to be worth $500 billion in terms of sales. Hardware will account for 70% of sales - devices ranging from smart homes to connected cars and personal wearable technology. This platform needs back-end infrastructure, hardware, software and analytics required to turn the copious amounts of data generated by IoT hardware (sensors, etc) into usable information and in turn may feed AI.

When the personal computer (PC) revolution started during the 1970s and 1980s, it was mostly limited to developed countries such as US, UK and so on initially. Only in the much later stages, when prices of computers dropped significantly, did this revolution go global and penetrated developing countries. Similar trend can be observed in dot-com boom as well. But unlike previous tech revolutions, IoT is a global revolution from Day One.

The Real Challenge!
The data monitored across these IoT hardware sources can be fed into central data-center upon which big data analytics can be performed in real-time. But the challenge is often the data where it is being produced (data source) is situated at offshore remote sites (IoT hardware sensors). And this is the real challenge.

Big Data Analytics - data source vs data-center connectivity - the real challenge

Addressing the same via TOFFEE DataCenter platform:
This data produced this way is quite unique and discrete unlike a traditional TCP session based data (such as user browsing data). TOFFEE is specifically architected keeping this aspect in mind so that it can optimize wide variety of use-cases unlike a simple traditional outdated WAN Optimization approach.

Internet of Things (IoT) - TOFFEE DataCenter WAN Optimiation



Предлагаемые темы:


TOFFEE-DataCenter - Оптимизация WAN


Categories

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


Рекомендуемые темы:

Tracking Live Network Application Data - in a WAN Acceleration (WAN Optimization) Device ↗
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.

Internet optimization through TOFFEE-DataCenter WAN Optimization Demo ↗
Saturday' 13-Mar-2021

TOFFEE-Mocha WAN emulator Lab deployment and topology guide ↗
Saturday' 13-Mar-2021

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

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



Network Latency and Bandwidth Assessment - for Network Admins and Infrastructure Architects ↗
Saturday' 13-Mar-2021

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

TOFFEE-DataCenter :: Features Supported ↗
Saturday' 13-Mar-2021
Here is a list of TOFFEE-DataCenter features supported. TOFFEE-DataCenter currently supports some of the important features such as loss-less network data compression, Packet Deduplication (protocols/applications supported), Application Acceleration, TCP Acceleration, dynamic MTU optimization, data packaging, hardware offload support, etc.

TOFFEE-Mocha WAN Emulation software development - Update: 15-July-2016 ↗
Saturday' 13-Mar-2021
Today I completed doing all the changes which are meant for the new upcoming TOFFEE-Mocha release. I have increased the resolution and the range of all factor variables. Instead 1 to 10 range now they have a range of 1 to 30. Unlike before the value 1 means it is lot more intense (or in some cases less intense) and the uppermost value 30 means lot less intense (or in some cases lot intense).



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 ↗

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

Streaming CDN Types ↗
Saturday' 13-Mar-2021

TOFFEE-DataCenter with GlusterFS Storage Cluster ↗
Saturday' 13-Mar-2021

Live demo - Data Transfer - High bandwidth to Low bandwidth ↗
Saturday' 13-Mar-2021
I always wanted to do some real experiments and research on packet flow patterns from High-bandwidth to Low-bandwidth networks via networking devices. This is something can be analyzed via capturing Network stack buffer data and other parameters, bench-marking, and so on. But eventually the data-transfer nature and other aspects is often contaminated due to the underlying OS and the way Network stack is implemented. So to understand the nature of packet flow from Higher to Lower bandwidth and vice-versa such as Lower to higher bandwidth, I thought I experiment with various tools and things which physically we can observe this phenomena.



Watch on Youtube - [1888//1] Deep Space Communication - Episode1 - Introduction ↗

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).



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