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DOCUMENTATION 》 TOFFEE-DataCenter License

TOFFEE-DataCenter provides dual licenses, designed to meet the usage and distribution requirements of different types of users.

GPLv2 License: Copyright (C) (2016-2023) Kiran Kankipati. All Rights Reserved.
TOFFEE-DataCenter is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License Version 2, and not any other version, as published by the Free Software Foundation. TOFFEE-DataCenter is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with TOFFEE-DataCenter; see the file COPYING. If not, write to the Free Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.

BSD License (2-clause license): Copyright (2016-2023) Kiran Kankipati. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

THIS SOFTWARE IS PROVIDED BY KIRAN KANKIPATI ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL KIRAN KANKIPATI OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

The views and conclusions contained in the software and documentation are those of the authors and should not be interpreted as representing official policies, either expressed or implied, of Kiran Kankipati.

  • This license is applicable exclusive to the TOFFEE-DataCenter components. TOFFEE-DataCenter may bundle or include other third-party open-source components. Kindly refer these component README and COPYRIGHT/LICENSE documents, released by its respective authors and project/module owners.

For more details kindly contact: Kiran



Suggested Topics:


TOFFEE-DataCenter - WAN Optimization


Categories

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


Recommended Topics:

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).

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.

Benchmark Raspberry Pi and other embedded SoC with TrueBench ↗
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. With TrueBench Raspberry Pi 3, Raspberry Pi 2B and Raspberry Pi 2 are benchmarked and you can do a comparative analysis with standard mainstream x86 devices.

TOFFEE-Butterscotch a TOFFEE for Home/SOHO Internet/WAN bandwidth ↗
Saturday' 13-Mar-2021
TOFFEE-Butterscotch a TOFFEE for Home/SOHO Internet/WAN bandwidth

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

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



Bitcoin Mining - Blockchain Technology - Network Optimization via TOFFEE Data-Center WAN Optimization ↗
Saturday' 13-Mar-2021
Bitcoin Mining - Blockchain Technology - Network Optimization via TOFFEE Data-Center WAN Optimization

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

Setting up a WAN Emulator within VirtualBox ↗
Saturday' 13-Mar-2021

My Lab HDD and SSD logs for research ↗
Saturday' 13-Mar-2021



Featured Educational Video:
Watch on Youtube - [430//1] x26b libpcap Library | Sample example libpcap C code | User-space Network Stack Framework - Part 1 ↗

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.

Network MTU research and optimization of WAN Links ↗
Saturday' 13-Mar-2021
Network MTU research and optimization of WAN Links

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

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).




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.



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