DOCUMENTATION 》 Network Latency and Bandwidth Assessment - for Network Admins and Infrastructure Architects

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.

Here is my video article on Network Latency in WAN Networks (such as long distance Satellite links, etc) and how you can optimize the same to achieve better network performance.

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.

You can build a basic TOFFEE WAN Optimization hardware completely in software layer (i.e its networking data-plane and control-plane). And if you are a product manufacturer you can make commercial WAN Optimization products with TOFFEE with software layer alone. And if you choose to improve its performance, you can use any third-party PCIe Compression Accelerator cards.

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.

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 µ-seconds for a given specific task. TrueBench is a part of The TOFFEE Project research. With TrueBench Raspberry Pi 3, Raspberry Pi 2B, Raspberry Pi 2 and other embedded SoC devices are benchmarked and you can do a comparative analysis with standard mainstream x86 devices.

One of the suggestions Google PageSpeed Insights tool suggested for The TOFFEE Project website is to minify the css and java script files. Minify Script files: When you read online about minification of your web script files, often they highlight file size savings and thus resulting faster download time and better website performance.

Here is my first software development update of TOFFEE-Butterscotch. In my first TOFFEE-Butterscotch news update I have introduced about TOFFEE-Butterscotch research, project specifications, use-cases, etc. Introducing TOFFEE-Butterscotch Alerts: These are simple packet counters which corresponds to the filter type. For example if the incoming TCP-SYN packets are blocked then its corresponding alert counter will increment whenever such a packet arrives and gets filtered (dropped).

If you want to deploy TOFFEE along with a web-proxy cache (such as Squid Proxy) you can deploy the same as shown below. TOFFEE does not cache files. TOFFEE does packet level network optimization. So if you want caching your web content you can use transparent mode web-proxy cache intercepting your WAN links. A web-proxy may reduce amount of data being processed (optimized) within these TOFFEE devices and so reduce the CPU overheads and improve its performance.

Raspberry Pi is often used as a single board computer for applications such as IoT, hobby projects, DIY, education aid, research and prototyping device. But apart from these applications Raspberry Pi can be used for real-world applications such as in making a full-fledged networking devices. Raspberry Pi is a single board ARM based hardware which is why it is also classified as ARM based SoC. Since it is ARM based it is highly efficient, tiny form-factor and lower in power consumption with moderate computational power. This will allow it to work several hours on emergency battery backup power supply such as low-cost domestic UPS and or some renewable energy source, which is a prerequisite for a typical networking device.

This is my first TOFFEE-Mocha combined x86-64 and i386 (Intel x86 64-bit and 32-bit) code release.