TOFFEEプロジェクト
ホームドキュメンテーション更新ビデオ研究ダウンロードスポンサー接触


DOCUMENTATION 》 LoRaWAN - Network Optimization via TOFFEE WAN Optimization

LoRaWAN - Network Optimization:
LoRaWAN is a very promising technology where it allows us to establish long range networks making it suitable for IoT and other such applications. With LoRaWAN now it is possible to collect data metric/analytics from the sensors scattered across a large area (typically many miles 5-10 Kms or a bit more). The only drawback of LoRa is that although it provides long range its network data rate is far too low. In a way that is sufficient for IoT or such sensor based data, but it is way too less (almost impractical) for any effective communication channel (such as internet browsing, etc). The speed you get is around 1kbps to 2.5kbps depending upon the range, signal strength and so on.

So here is a scenario where few sensors are attached to a LoRaWAN Network. Let us assume in this case few of these sensors are not themselves LoRa capable, hence they are connected to an intermediate LoRaWAN Aggregator. This in turn connected backend to a LoRaWAN Gateway through which it gets internet connectivity.

LoRaWAN Network

We can now improve its performance by incorporating TOFFEE-DataCenter within this hardware infrastructure. Thus improving its total overall network bandwidth. We can now squeeze a lot more data through this long-range network channel than it is possible earlier with LoRaWAN Technology (hardware) alone.
LoRaWAN Network Optimization via TOFFEE WAN Optimization

Kindly watch my in-depth video covering about LoRaWAN Technology and Network Optimization potential of the same:

Learn more about LoRaWAN and LoRaWAN based hardware:
Wiki: LoRa - https://en.wikipedia.org/wiki/LoRa#LoRaWAN
LoRa Alliance - https://lora-alliance.org
LoRa Alliance - About - https://lora-alliance.org/about-lorawan
LoRaWAN Overview - https://www.thethingsnetwork.org/docs/lorawan
De la technologie LoRa au réseau LoRaWAN - http://www.frugalprototype.com/technologie-lor ...
Mbed OS - Arm Mbed OS provides a native network stack for LoRaWAN - https://os.mbed.com/docs/latest/reference/lora ...
Building your own private LoRa network - https://docs.mbed.com/docs/lora-with-mbed/en/l ...
LoRa Gateways and Concentrators - https://loriot.io/lora-gateways.html
MatchX - LoRa Hardware - https://matchx.io/hardware
Green House LoRaWAN Experiment - https://www.green-house.co.jp/en/pdt/lorawan-n ...



Suggested Topics:


TOFFEE - WAN Optimization


Categories

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


おすすめトピック:

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.

Moon Base and Space Colonization - First we need fast InterPlanetary Internet ↗
Saturday' 13-Mar-2021

VPN Network Optimization via TOFFEE WAN Optimization ↗
Saturday' 13-Mar-2021
VPN Networks may degrade network performance due to various packet processing overheads such as encryption and by adding extra network protocol header(s) (such as IPv4/IPv6, IPSec, etc). This may inflate near MTU sized packets and causes excessive packet fragmentation. Here are the few examples of packet processing involved in a VPN (or a VPN like) Tunnel. With TOFFEE you can optimize these packets even before they get processed on to a VPN device. TOFFEE optimizes packet contents (application payload and transport headers) so that these TOFFEE optimized packets when they get processed by VPN devices (or VPN software stack) they may never need further packet fragmentation. Here is a deployment scenario of TOFFEE with VPN devices.

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.

My Lab Battery Purchase and Service logs for Research ↗
Saturday' 13-Mar-2021
Here is a complete log of my lab battery purchase, service record which I maintain in Google drive. These I use for my home (or my family generic use) as well as a part of my home lab. I maintain a detailed log this way to monitor the failure rate of these batteries. This will allow me to select a specific brand/model which has higher success rate and to monitor any premature failure/expiry. The service log helps me to monitor and schedule the next service routine so that I can maintain these batteries in tip-top condition.

First TOFFEE-Butterscotch Code Release ↗
Saturday' 13-Mar-2021
TOFFEE-Butterscotch is a variant of TOFFEE can be used to save and optimize your Home/SOHO Internet/WAN bandwidth. Unlike TOFFEE (and TOFFEE-DataCenter) TOFFEE-Butterscotch is a non peer-to-peer (and asymmetric) network optimization solution. This makes TOFFEE-Butterscotch an ideal tool for all Home and SOHO users.

Youtubeで見る - [1888//1] Deep Space Communication - Episode1 - Introduction ↗


Introducing TOFFEE-DataCenter ↗
Saturday' 13-Mar-2021
TOFFEE TOFFEE Data-Center is specifically meant for Data Center, Cluster Computing, HPC applications. TOFFEE is built in Linux Kernel core. This makes it inflexible to adapt according to the hardware configuration. It does sequential packet processing and does not scale up well in large multi-core CPU based systems (such as Intel Xeon servers, Core i7 Extreme Desktop systems,etc). Apart from this since it is kernel based, if there is an issue in kernel, it may crash entire system. This becomes a challenge for any carrier grade equipment (CGE) hardware build.

TOFFEE-Mocha-1.0.32-1-x86_64 and TOFFEE-Mocha-1.0.32-1-i386 Code Release ↗
Saturday' 13-Mar-2021
This is my first TOFFEE-Mocha combined x86-64 and i386 (Intel x86 64-bit and 32-bit) code release.

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.

TOFFEE-Mocha WAN Emulation software development - Update: 20-Oct-2016 ↗
Saturday' 13-Mar-2021
I was doing some specific tests in my TOFFEE and TOFFEE-DataCenter (WAN optimization) scenarios such as variable upload and download speeds. And I was also doing some experiments with speedtest.net and I did some of these tests with TOFFEE-Mocha. I realized there is a case that I can introduce asymmetric constant delays so that you can get different download speed and a different upload speed. And in some cases much faster download speeds and relatively slower upload speeds.



Featured Educational Video:
Youtubeで見る - [435//1] 0x1d3 Who gets Laid off (or Fired) during a recession ? #TheLinuxChannel #KiranKankipati ↗

TEST CASES :: TEST RESULTS :: TOFFEE-Mocha-1.0.32 asymmetric constant packet delay feature ↗
Saturday' 13-Mar-2021

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.

Communication data network standards and data transfer speeds :: Chart ↗
Saturday' 13-Mar-2021
Here is a complete chart comprising popular communication data network standards and their respective transfer rates. I hope this reference chart will help network engineers and network software developers while performing networking tests and experiments, building WAN/network products, building WAN simulated networks of a specific standard and so on. This may also helps us to track technological advancements of communication data networks.

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




Replacing in Lab Intel Core i7 5820K Desktop PC with Intel Celeron 1037U Mini-PC ↗
Saturday' 13-Mar-2021
As a research experiment I replaced my Intel Core i7 5820K desktop PC with my Intel Celeron 1037U Mini-PC as my everyday desktop system. This is an attempt to reduce my overall monthly power consumption. As well an attempt to do feasibility tests and research to know how far Mini PC will dominate the market in future and to study the real potential of Mini PCs.



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