The TOFFEE Project
HOMEDOCUMENTATIONUPDATESVIDEOSRESEARCHDOWNLOADSPONSORSCONTACT


DOCUMENTATION 》 TOFFEE Data-Center WAN Optimization deployment in Big Data Analytics

Big Data Analytics as we know is a new trend in the technology industry, where it is getting deployed across the industries. The information collected can then be fed into knowledge analysis platforms such as AI, and so on where the existing system can be analyzed real-time and can be improved time to time after each subsequent iteration of learning cycle.

Here are some of the industries(and sectors) where Big data analytics is fueling innovation:

  • Internet of Things (IoT)
  • Green Energy - offshore Solar and Wind farms
  • Environment Studies - marine ecology, forest and wildlife
  • Automotive Industry
  • Urban Vertical Farming - 95% less water, half the fertilizer and 0% pesticides - a new way to grow local produce in cities

The Real Challenge!
The data monitored across these platforms 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. And this is the real challenge.

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

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architected keeping this aspect in mind so that it can optimize wide variety of use-cases unlike a simple traditional outdated WAN Optimization approach.

TOFFEE DataCenter WAN Optimiation - Big Data Analytics [CDN]



Suggested Topics:


TOFFEE-DataCenter - WAN Optimization


Categories

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


Recommended Topics:

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 TOFFEE can be deployed over existing slow or often outdated old backhaul networks too.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.

IP Header Compression in WAN Links and TOFFEE-DataCenter WAN Optimization ↗
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

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 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.

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.



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

Optimization of network data (WAN Optimization) at various levels ↗
Saturday' 13-Mar-2021
WAN Network data can be optimized at various levels depending upon the network applications, protocols, topology and use-cases. So the amount of data you can optimize will depend on the strategy you choose to optimize. Such as: Network Packet level optimization, Session level optimization, File level optimization, etc.

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.

Replacing in Lab Intel Core i7 5820K Desktop PC with Intel Celeron 1037U Mini-PC ↗
Saturday' 13-Mar-2021
As a research experiment I replaced my Intel Core i7 5820K desktop PC with my Intel Celeron 1037U Mini-PC as my everyday desktop system. This is an attempt to reduce my overall monthly power consumption. As well an attempt to do feasibility tests and research to know how far Mini PC will dominate the market in future and to study the real potential of Mini PCs.



Featured Educational Video:
Watch on Youtube - [17445//1] 294 - VRF - Virtual Routing and Forwarding - Introduction ↗

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.

TOFFEE-Butterscotch a TOFFEE for Home/SOHO Internet/WAN bandwidth ↗
Saturday' 13-Mar-2021
TOFFEE-Butterscotch a TOFFEE for Home/SOHO Internet/WAN bandwidth

TOFFEE-Mocha Documentation :: TOFFEE-Mocha-1.0.18-1-x86_64 ↗
Saturday' 13-Mar-2021

TOFFEE with Hardware Compression and Decompression Accelerator Cards ↗
Saturday' 13-Mar-2021
You can build a basic TOFFEE WAN Optimization hardware completely in software layer (i.e its networking data-plane and control-plane). And if you are a product manufacturer you can make commercial WAN Optimization products with TOFFEE with software layer alone. And if you choose to improve its performance, you can use any third-party PCIe Compression Accelerator cards.




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