Проект TOFFEE
ГЛАВНАЯДОКУМЕНТАЦИЯОБНОВЛЕНИЕВИДЕОИССЛЕДОВАНИЕСКАЧАТЬСПОНСОРЫконтакт


RESEARCH 》 Optimization of network data (WAN Optimization) at various levels

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.

Network Packet level optimization: You can optimize your network data down to individual packets. This may be useful to optimize discrete network data such as VoIP and streaming networking applications. So depending on your network you can do frame level optimization in case if it is a Layer-2 switched network something like MPLS/VPLS scenarios. And in case it is a IP based routed networks you can do IP packet level optimization. So that the IP-header is intact where-as its other protocol headers and the payload is optimized. Hence packet level optimization suits for discrete network data and corresponding network applications.
Network Packet level network data WAN Optimization

Session level optimization: Session level (or session based) optimization is suited for complete/full sessions bound by a network connection. For example TCP-connection. A remote MySQL or Oracle database access involves a TCP-connection (or a session). So in this case we are not talking about discrete packet level access (although a session will always comprise multiple packet transfers to and fro) and we are not talking about individual file-level access, instead it is a session-level bulk data transfers. In this case we can employ different network optimization strategy so that the entire session can be optimized.
Network Session level network data WAN Optimization

File level optimization: Last but not least a file-level optimization involves a typical file-download/file-upload scenario such as HTTP, FTP and so on. In this case in general even before sending across the wire we can do lossy (and lossless) compression of these files depending on its contents. But when it is being transferred across the network we can employ a network optimization strategy where an entire file transfer is optimized. We can also implement both above discussed techniques such as network packet-level and session-level to optimize file-level network data transfer. Some of the examples which comes in this category are CDN networks, HTTP Cache Proxy (such as Squid-Cache) and so on.
Network File level network data WAN Optimization

Case study :: Dolby Servers in movie theaters: Movie theaters these days get digitized extremely high-quality movie files from film producers/distributor channels. Since these files are so huge they are transferred via high-speed wire (fibre-optic) networks. But in case if the movie theaters lack high-speed network connectivity then they ship these movie copies on a regular computer hard-drive. This is a good case study and use-case where file-level network data optimization can be deployed.
Here are some interesting videos on Digital Cinema movie servers and projection technology:


Here is my detailed video of the same:

In case if you are having a company and if you are looking for ways to optimize your network, performance tune-up and or building network optimization product(s) (which may or may not include porting/integrating TOFFEE on to your product), in that case I can offer my technical consultation services. If you are interested you can contact me for the same.



Suggested Topics:


WAN Optimization and Network Optimization

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


Рекомендуемые темы:

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

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

Demo TOFFEE_DataCenter WAN Optimization VM (in VirtualBox) Test Setup ↗
Saturday' 13-Mar-2021
Demo TOFFEE_DataCenter WAN Optimization VM (in VirtualBox) Test Setup

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.

TOFFEE (and TOFFEE-DataCenter) deployment in Large Infrastructure and or ISP Networks ↗
Saturday' 13-Mar-2021
Large Infrastructure or ISP setup: In case if you are an ISP and interested in deploying a large customer WAN Optimized network or an add-on enhanced (WAN Optimized) network for select few customers, then you can deploy something as shown below. Although this case is not meant for hobby/DIY users. This is a feasible solution for high-end professional application and the same can be deployed.

Upgrading Ubuntu 17.10 to 18.04 via TOFFEE-DataCenter WAN Optimization Screenshots ↗
Saturday' 13-Mar-2021

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


TOFFEE-DataCenter screenshots on a Dual CPU - Intel(R) Xeon(R) CPU E5645 @ 2.40GHz - Dell Server ↗
Saturday' 13-Mar-2021

TOFFEE-Butterscotch Bandwidth saver software development - Update: 17-Nov-2016 ↗
Saturday' 13-Mar-2021
Here is my second software development update of TOFFEE-Butterscotch. In the previous update (28-Oct-2016) I discussed about the Alerts, etc. Whereas in my first TOFFEE-Butterscotch news update I have introduced about TOFFEE-Butterscotch research, project specifications, use-cases, etc.

Streaming CDN Types ↗
Saturday' 13-Mar-2021

Recording Lab Monthly power-consumption readings for Research ↗
Saturday' 13-Mar-2021
Here is my home lab monthly power-consumption readings for research. This will help to measure and monitor the overall power usage and assess the power requirements. This will help me in future purchases such as UPS, battery upgrades and so on. And as well remove replace old obsolete hardware with new less power-consuming devices.



Featured Educational Video:
Watch on Youtube - [171//1] 169 Q&A - Add additional HardDrive or storage space in Linux VirtualBox VM ↗

Internet optimization through TOFFEE-DataCenter WAN Optimization Demo ↗
Saturday' 13-Mar-2021

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

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.

Bulk Ping Tests - WAN Acceleration ↗
Saturday' 13-Mar-2021




Internet optimization through TOFFEE-DataCenter WAN Optimization Demo ↗
Saturday' 13-Mar-2021
Internet optimization through TOFFEE-DataCenter WAN Optimization Demo



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