El proyecto TOFFEE
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DOCUMENTATION 》 TOFFEE deployment topology guide

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Typical setup (for DIY users, SOHO, etc): 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).
For more details on TOFFEE installation hardware kindly refer: TOFFEE hardware selection guide

TOFFEE setup for DIY users

Other TOFFEE (and or TOFFEE-DataCenter) deployment scenarios:

  • TOFFEE (and or TOFFEE-DataCenter) deployment in SD-WAN Applications: HERE
  • TOFFEE (and or TOFFEE-DataCenter) deployment with VPN devices: HERE
  • TOFFEE (and or TOFFEE-DataCenter) deployment with web-proxy cache: HERE
  • TOFFEE-DataCenter a TOFFEE variant for Data Center applications: HERE
  • TOFFEE-DataCenter as a VNF for NFV: HERE
  • TOFFEE (and or TOFFEE-DataCenter) deployment in Large Infrastructure and or ISP Networks: HERE
  • TOFFEE (and or TOFFEE-DataCenter) optimized Satellite (inflight/marine/defense) ISP Networks: HERE
  • TOFFEE (and or TOFFEE-DataCenter) optimized Mobile Wireless Backhaul Networks: HERE
  • TOFFEE (and or TOFFEE-DataCenter) optimized Wireless Mesh-Networks - B.A.T.M.A.N [open-mesh.org (Open Mesh)]: HERE
  • TOFFEE (and or TOFFEE-DataCenter) optimized LoRaWAN Networks: HERE
  • TOFFEE-DataCenter with GlusterFS Storage Cluster: HERE
  • TOFFEE Data-Center WAN Optimization deployment in Big Data Analytics: HERE
  • TOFFEE Data-Center optimized Internet of Things (IoT) Platform: HERE
  • TOFFEE-Butterscotch a TOFFEE for Home/SOHO Internet/WAN bandwidth: HERE



Here is a quick architectural perspective of how TOFFEE-DataCenter optimizes incoming discrete packets:
Packet Optimization with TOFFEE-DataCenter



Temas sugeridos:


TOFFEE - Optimización WAN


Categories

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


Temas recomendados:

Tracking Live TCP Sessions (connections) - WAN Optimization Device ↗
Saturday' 13-Mar-2021

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

Bitcoin Mining - Blockchain Technology - Network Optimization via TOFFEE Data-Center WAN Optimization ↗
Saturday' 13-Mar-2021
Bitcoin Mining - Blockchain Technology - Network Optimization via TOFFEE Data-Center WAN Optimization

TOFFEE-DataCenter Live Demo with Clash of Clans game data - 30-Aug-2016 ↗
Saturday' 13-Mar-2021
Today I have done a test setup so that I can able to connect my Android Samsung Tab via TOFFEE DataCenter. Below is my complete test topology of my setup. For demo (and research/development) context I configured TOFFEE DataCenter in engineering debug mode. So that I do not need two devices for this purpose.

The TOFFEE Project :: TOFFEE-DataCenter :: WAN Optimization ↗
Saturday' 13-Mar-2021
The TOFFEE Project :: TOFFEE-DataCenter :: Linux Open-Source WAN Optimization

LoRaWAN - Network Optimization via TOFFEE WAN Optimization ↗
Saturday' 13-Mar-2021
LoRaWAN - Network Optimization via TOFFEE WAN Optimization

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


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

iPerf Network Optimization - WAN Optimization Demo ↗
Saturday' 13-Mar-2021

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

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.



Featured Educational Video:
Watch on Youtube - [943//1] x23e TrueNAS ZFS Pool Resilver over and over again issue | ZFS NAS Storage | Forever Resilver ↗

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.

Recording Lab Monthly off-grid power-consumption readings for research ↗
Saturday' 13-Mar-2021

TOFFEE-Mocha Documentation :: TOFFEE-Mocha - Jitter feature ↗
Saturday' 13-Mar-2021

iPerf Network Optimization - WAN Optimization Demo ↗
Saturday' 13-Mar-2021




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.



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