Документация :: Документация :: Руководство по топологии развертывания TOFFEE

Written by: Kiran Kankipati - Published: 14-Dec-2017

язык :: английский
ПРИМЕЧАНИЕ. Эта страница автоматически переводится с помощью Google Translate. Пожалуйста, игнорируйте любые ошибки.

Типичная настройка (для пользователей DIY, SOHO и т. д.): Предположим, что у вас есть два сайта (например, Site-A и Site-B), подключенные через медленную / критическую WAN-связь, как показано ниже. Вы можете оптимизировать эту ссылку, сохранив пропускную способность, а также, возможно, увеличив скорость. Однако скорость WAN может быть оптимизирована только в том случае, если скорость линии WAN ниже скорости обработки вашего установленного оборудования TOFFEE. Предположим, что ваша WAN-связь составляет 12 Мбит / с, и предположим, что максимальная скорость / емкость WAN-оптимизации для малины Pi составляет 20 Мбит / с, то ваша ссылка также получит оптимизацию скорости. И в другом случае предположим, что ваша ссылка WAN составляет 50 Мбит / с, то использование малины Pi в качестве устройства оптимизации WAN фактически увеличит задержку (т. е. замедляет WAN-соединение). Но во всех случаях экономия полосы пропускания должна быть одинаковой независимо от скорости линии WAN. Другими словами, если вы хотите сократить затраты на WAN-связь через эту оптимизацию WAN, вы всегда можете получить его, так как он снижает общую пропускную способность практически во всех случаях (включая зашифрованные и предварительно сжатые данные).
Для получения более подробной информации об оборудовании TOFFEE обратитесь: Руководство по выбору оборудования TOFFEE

Другие сценарии развертывания TOFFEE (или или TOFFEE-DataCenter):

TOFFEE (и или TOFFEE-DataCenter) с использованием VPN-устройств: здесь
TOFFEE (и / или TOFFEE-DataCenter) с кэшем веб-прокси: здесь
TOFFEE-DataCenter a TOFFEE variant for Data Center applications: здесь
TOFFEE-DataCenter как VNF для NFV: здесь
TOFFEE (или или TOFFEE-DataCenter) в крупных инфраструктурах и / или сетях ISP: здесь
TOFFEE (и / или TOFFEE-DataCenter) оптимизированный спутник (inflight / marine / defense) Сети ISP: здесь
TOFFEE (и / или TOFFEE-DataCenter) оптимизировал мобильные беспроводные сети: здесь
TOFFEE (и или TOFFEE-DataCenter) оптимизировал беспроводные сети Mesh - B.A.T.M.A.N [open-mesh.org (Open Mesh)]: здесь
TOFFEE-DataCenter с кластером хранения GlusterFS: здесь
TOFFEE Развертывание WAN-центра обработки данных в Big Data Analytics: здесь
TOFFEE Оптимизированный Интернет-центр (IoT) для центров обработки данных: здесь
TOFFEE-Butterscotch TOFFEE для доступа к Интернет / глобальной сети SOHO: здесь

Вот краткая архитектурная перспектива того, как TOFFEE-DataCenter оптимизирует входящие дискретные пакеты:
Оптимизация пакетов с помощью TOFFEE-DataCenter [CDN]

Предлагаемые темы:

TOFFEE - Оптимизация WAN

Categories

TOFFEE-DataCenter - WAN Optimization ↗

TOFFEE - WAN Optimization ↗

TOFFEE-Mocha - WAN Emulator ↗

TOFFEE-Butterscotch - Save and Optimize your Internet/WAN bandwidth ↗

💎 TOFFEE-MOCHA new bootable ISO: Download

💎 TOFFEE Data-Center Big picture and Overview: Download PDF

Рекомендуемые темы:

WAN Optimization iPhone and Android - Mobile App ↗
Saturday' 13-Mar-2021

Advantages of CDN - Content Delivery Networks or Content Distribution Networks ↗
Saturday' 13-Mar-2021

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.

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 µ-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.

Demo TOFFEE-DataCenter WAN Optimization packaging feature ↗
Saturday' 13-Mar-2021

Raspberry Pi as a Networking Device ↗
Saturday' 13-Mar-2021

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.

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

Live demo - Data Transfer - High bandwidth to Low bandwidth ↗
Saturday' 13-Mar-2021

I always wanted to do some real experiments and research on packet flow patterns from High-bandwidth to Low-bandwidth networks via networking devices. This is something can be analyzed via capturing Network stack buffer data and other parameters, bench-marking, and so on. But eventually the data-transfer nature and other aspects is often contaminated due to the underlying OS and the way Network stack is implemented. So to understand the nature of packet flow from Higher to Lower bandwidth and vice-versa such as Lower to higher bandwidth, I thought I experiment with various tools and things which physically we can observe this phenomena.

TOFFEE-DataCenter - First Live Demo and software development - Update: 26-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 I do not need two devices for this purpose.

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 ↗

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).

Off-Grid Solar Power System for Raspberry Pi ↗
Saturday' 13-Mar-2021

When you choose to use your Raspberry Pi device as your IoT based remote weather station or if you are building Linux kernel (like kernel compilation) within the same, you need a good uninterrupted power source (UPS). But if you are using it on site or in some research camping location you can choose to power your Raspberry Pi device with your custom off-grid solar power source.

TOFFEE-Butterscotch Bandwidth saver software development - Update: 17-Nov-2016 ↗
Saturday' 13-Mar-2021

Here is my second software development update of TOFFEE-Butterscotch. In the previous update (28-Oct-2016) I discussed about the Alerts, etc. Whereas in my first TOFFEE-Butterscotch news update I have introduced about TOFFEE-Butterscotch research, project specifications, use-cases, etc.

Network Latency in WAN Networks and performance optimization ↗
Saturday' 13-Mar-2021

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.

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

💎 TOFFEE-MOCHA new bootable ISO:	Download

💎 TOFFEE Data-Center Big picture and Overview:	Download PDF