The TOFFEE Project
HOMEDOCUMENTATIONUPDATESVIDEOSRESEARCHDOWNLOADSPONSORSCONTACT


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


Recommended Topics:

TOFFEE-DataCenter as a VNF for NFV ↗
Saturday' 13-Mar-2021

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.

IP Header Compression in WAN Links and TOFFEE-DataCenter WAN Optimization ↗
Saturday' 13-Mar-2021

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.

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

Tracking Live Network Application Data - in a WAN Acceleration (WAN Optimization) Device ↗
Saturday' 13-Mar-2021

Watch on Youtube - [466//1] 158 VLOG - TOFFEE WAN Optimization Software Development live update - 6-Nov-2016 ↗


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

CDN Introduction - Content Delivery Networks or Content Distribution Networks ↗
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 (and TOFFEE-DataCenter) deployment in SD-WAN Applications ↗
Saturday' 13-Mar-2021
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.



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 ↗

TrueBench - Linux CPU Benchmarking system ↗
Saturday' 13-Mar-2021
TrueBench is an unique open-source benchmarking system in which the core system performance and efficiency parameters are measured at extreme high resolution in the order of several million/billion ยต-seconds for a given specific task. TrueBench is a part of The TOFFEE Project research.

TOFFEE Data-Center WAN Optimization deployment in Big Data Analytics ↗
Saturday' 13-Mar-2021

Grid Hosting vs CDN Hosting ↗
Saturday' 13-Mar-2021

TOFFEE-DataCenter WAN Optimization software development - Update: 13-Aug-2016 ↗
Saturday' 13-Mar-2021
Earlier the TOFFEE is intended to work on IoT devices, Satellite Networks, branch office/SOHO deployments. In most cases the users may deploy just one or couple of TOFFEE devices per site. But in the case of TOFFEE-DataCenter, users can scale-up deploying the same in multiple servers in a sort of distributed cluster computing scenario. Besides the core TOFFEE-DataCenter components (such as packet processing engine/framework), I need to do lot of changes in its Graphical User Interface (GUI) too to address these new requirements.




Introducing TOFFEE-Fudge - Network Packet Generator ↗
Saturday' 13-Mar-2021
TOFFEE Fudge is a simple intuitive Network Packet Generator which can be used to create custom test synthetic Network Packets and can be used in various applications such as networking research, network infrastructure troubleshooting, ethical hacking, as a network software development tool and so on.



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