DOCUMENTATION 》 TOFFEE (and TOFFEE-DataCenter) deployment in Large Infrastructure and or ISP Networks

Demo TOFFEE_DataCenter WAN Optimization VM (in VirtualBox) Test Setup

Here is my power-consumption measurements of various devices deployed within my home lab. I measured via my kill-a-watt sort of power-meter which is fairly reliable and accurate. I checked its accuracy with various standard load such as Philips LED laps and other constant power-consuming devices to make sure that the power-meter is precise.

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.

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.

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.

Network Packet Queue or Buffer - Packet Flow Control, Fragmentation and MTU

TOFFEE-Butterscotch Documentation :: TOFFEE-Butterscotch-1.0.11-rpi2-23-nov-2016

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.