DOCUMENTATION 》 TOFFEE deployment topology guide

Language :: Portuguese Russian Spanish Chinese

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

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:

A study on Deep Space Networks (DSN) ↗
Saturday' 13-Mar-2021

When you are dealing Deep Space Networks (DSN) one among the most challenging parts is the Interplanetary distances and communicating data across such vast distances. This is where we are not dealing with common Internet type traffic such as HTTP/FTP/VoIP/etc but it is completely different when it comes to DSN so far. So optimizing data in DSN becomes mandatory. For example if you think one of the Mars Rovers, they have used LZO lossless compression.

Off-Grid Solar Power System for Raspberry Pi ↗
Saturday' 13-Mar-2021

When you choose to use your Raspberry Pi device as your IoT based remote weather station or if you are building Linux kernel (like kernel compilation) within the same, you need a good uninterrupted power source (UPS). But if you are using it on site or in some research camping location you can choose to power your Raspberry Pi device with your custom off-grid solar power source.

TOFFEE-Mocha Documentation :: TOFFEE-Mocha-1.0.14-1-x86_64 ↗
Saturday' 13-Mar-2021

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.

Off-Grid Home Lab Research Solar Installation ↗
Saturday' 13-Mar-2021

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

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

My sample Wireshark packet capture files for research ↗
Saturday' 13-Mar-2021

I have a huge repository (or collection) of sample Wireshark packet capture files for reference. I use them extensively for research and development of TOFFEE as well to understand various protocol PDUs and protocol standards. I personally collected various test captures via Wireshark during my test and experimental research setup during the course of TOFFEE development. Say if you are a student and learning Networking and or say VoIP data and VoIP packets, you can analyse my VoIP sample Wireshark captures. Or in other case assume you are doing some quick research (or development) and want to refer few handful of VoIP packets then you can download and analyse my sample packet capture files.

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

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.

Why TOFFEE is forked from TrafficSqueezer ↗
Saturday' 13-Mar-2021

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.

Featured Educational Video:

Watch on Youtube - [89//1] B.E and M.E Final Year Projects - Form your Team ↗

TOFFEE-Mocha WAN Emulation software development - Update: 17-June-2016 ↗
Saturday' 13-Mar-2021

Now I supported and finished complete GUI support of these parameters so that you can configure, store, reboot and the same will restore upon reboot. Besides I complete the TOFFEE-Mocha Big-Picture page. The Big picture is an interface where you can find all the configuration (or settings) of the TOFFEE-Mocha. This is almost similar to CISCO device show all command but in graphical representation. Sometimes a network admin can also print the Big Picture page and paste it near to the device to refer its settings.

TOFFEE (and TOFFEE-DataCenter) deployment with VPN devices ↗
Saturday' 13-Mar-2021

In case if you need to deploy TOFFEE along with your existing VPN devices you can deploy the same as shown below. This will allow your VPN devices to encrypt your TOFFEE WAN Optimized network data. NOTE: Make sure about the VPN deployment topology done in the right order. Else TOFFEE (LAN side) may get VPN encrypted packets which may not be possible (and or difficult) to further optimize. Hence always make sure to deploy them in a topology suggested below so that TOFFEE devices are out of VPN tunnel.

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

Communication data network standards and data transfer speeds :: Chart ↗
Saturday' 13-Mar-2021

Here is a complete chart comprising popular communication data network standards and their respective transfer rates. I hope this reference chart will help network engineers and network software developers while performing networking tests and experiments, building WAN/network products, building WAN simulated networks of a specific standard and so on. This may also helps us to track technological advancements of communication data networks.

TOFFEE deployment topology guide ↗
Saturday' 13-Mar-2021

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).

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 [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

💎 TOFFEE-MOCHA new bootable ISO:	Download

💎 TOFFEE Data-Center Big picture and Overview:	Download PDF