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DOCUMENTATION 》 TOFFEE (and TOFFEE-DataCenter) deployment in SD-WAN Applications

Software-Defined Wide Area Networking (SD-WAN) is a new innovative way to provide optimal application performance by redefining branch office networking. Unlike traditional expensive private WAN connection technologies such as MPLS, etc., SD-WAN delivers increased network performance and cost reduction. SD-WAN solution decouple network software services from the underlying hardware via software abstraction.

Last Mile Connectivity challenge:
If you are a SD-WAN provider you may have an efficient SDN-Cloud based SD-WAN infrastructure, but the real challenge is the connectivity between your clients (SD-WAN subscribers/users Branch Office Edge Devices/CPE) and your Cloud Infrastructure. This last mile connectivity bottleneck can be addressed via TOFFEE-DataCenter as shown below.

TOFFEE-DataCenter WAN Optimization deployment in SD-WAN Applications

NOTE: In this case let us assume you (the SD-WAN service provider) have a client/subscriber who got high-speed network connectivity between their corporate headquarters(may be situated in a data-center, etc) and your SD-WAN Cloud Infrastructure. But they have various other remote branch-offices with extremely poor high-latency Internet/network connectivity.

SD-WAN Infrastructure using TOFFEE-DataCenter as one of its building components:
Along with VPN modules/components you can even use TOFFEE-DataCenter as one of the building blocks within your SD-WAN Infrastructure.

TOFFEE-DataCenter WAN Optimization within SD-WAN Infrastructure



Suggested Topics:


TOFFEE-DataCenter - WAN Optimization


Categories

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


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Why TOFFEE is forked from TrafficSqueezer ↗
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TrafficSqueezer is an open-source WAN Optimization project. TrafficSqueezer is mainly a research project which is started around mid-2006. It is initially started as a research (or prototype) code even before it is officially registered in Sourceforge.net. But this code is just primitive user-space raw socket modules. This is later refined and a pre-alpha version is created. Followed by which Alpha release. This prototype code is moved from user-space to Linux Kernel (Kernel Space) and then the journey begin in terms of making a serious WAN Optimization solution. Once the pre-beta and beta releases are complete the mainstream series is started.

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A study on Deep Space Networks (DSN) ↗
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LoRaWAN - Network Optimization via TOFFEE WAN Optimization

Internet optimization through TOFFEE-DataCenter WAN Optimization Demo ↗
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Internet optimization through TOFFEE-DataCenter WAN Optimization Demo

Youtubeで見る - [1864//1] Deep Space Communication - Episode1 - Introduction ↗


Demo TOFFEE_DataCenter WAN Optimization VM (in VirtualBox) Test Setup ↗
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Demo TOFFEE_DataCenter WAN Optimization VM (in VirtualBox) Test Setup

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Featured Educational Video:
Youtubeで見る - [434//1] 0x1d3 Who gets Laid off (or Fired) during a recession ? #TheLinuxChannel #KiranKankipati ↗

Introducing TOFFEE-Butterscotch - Save and Optimize your Internet/WAN bandwidth ↗
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TOFFEE-Mocha WAN Emulation software development - Update: 16-June-2016 ↗
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I started TOFFEE-Mocha WAN Emulation software development on 1-June-2016. I took the existing TOFFEE components as a base. Although the TOFFEE-Mocha is entirely an independent fresh Open-Source WAN Emulation solution. Ever since I am in the process of defining and inventing features. So far I come up with the most important feature which is expected to be present in any WAN Emulation software is the packet delay option.



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