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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 [CDN]



Suggested Topics:


TOFFEE - WAN Optimization


Categories

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


Recommended Topics:

CDN Introduction - Content Delivery Networks or Content Distribution Networks ↗
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How to check a website using CDN ? ↗
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TOFFEE-DataCenter Download :: TOFFEE-DATACENTER-1.2.2-1-portable ↗
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TOFFEE-Mocha WAN Emulation software development - Update: 18-June-2016 ↗
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In the previous update (17-Jun-2016) I discussed about the upcoming new Random Packet drop feature along with other completed features. Now I completed the entire TOFFEE-Mocha Random packet drop feature. I completed all the kernel components and the UI support of the same. And to make GUI settings more organized I split the earlier Basic-Settings page into two separate pages namely: Packet Drop and Packet Delay. So this way it is simple to understand settings according to their functionality.

TOFFEE-Mocha WAN Emulation software development - Update: 19-July-2016 ↗
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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.

Streaming CDN Types ↗
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IP Header Compression in WAN Links and TOFFEE-DataCenter WAN Optimization ↗
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Introducing TOFFEE-Butterscotch - Save and Optimize your Internet/WAN bandwidth ↗
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TOFFEE-Butterscotch yet another 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.

TEST CASES :: TEST RESULTS :: TOFFEE-Mocha-1.0.32 asymmetric constant packet delay feature ↗
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Off-Grid Home Lab Research Solar Installation ↗
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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 ↗

My Lab HDD and SSD logs for research ↗
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TOFFEE-Mocha Documentation :: TOFFEE-Mocha-1.0.32-1-x86_64 and TOFFEE-Mocha-1.0.32-1-i386 ↗
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TOFFEE hardware selection guide ↗
Saturday' 13-Mar-2021
When you build a WAN Optimization device with TOFFEE the entire packet processing (data optimization) takes place in software layer or in other words more precisely Operating System kernel space. However if you have any compression or encryption hardware accelerator hardware card the parts of the TOFFEE packet processing modules can be offloaded to hardware layer and thus improving its efficiency.

TOFFEE Documentation :: TOFFEE-1.1.24-3-rpi2 ↗
Saturday' 13-Mar-2021
Here is my VLOG Youtube video of the same which includes details about version release notes, future road-map and so on. The TOFFEE release is highly optimized and customized for hardware platforms such as x86-64 based Intel NUC and other Intel mobile computing platforms such as laptops and so on. This version (or release) is not suited and so not recommended to be used for high-end desktop and server hardware platform.




Skype VOIP Data - WAN Acceleration ↗
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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


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