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Documentation :: Documentation :: Guía de topología de implementación de TOFFEE

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

Configuración típica (para usuarios de bricolaje, SOHO, etc.): suponga que tiene dos sitios (como Sitio-A y Sitio-B) conectados a través de un enlace WAN lento/crítico como se muestra a continuación. Puede optimizar este enlace al guardar el ancho de banda y posiblemente mejorar la velocidad. Sin embargo, la velocidad WAN puede optimizarse solo si las velocidades del enlace WAN están por debajo de la latencia de procesamiento de su hardware instalado TOFFEE. Suponga que su enlace WAN es de 12Mbps, y asuma que la velocidad/capacidad máxima de optimización WAN de Raspberry Pi es de 20Mbps, luego tu enlace también obtendrá optimización de velocidad. Y en otro caso, suponga que su enlace WAN es de 50Mbps, luego, usar Raspberry Pi como dispositivo de optimización WAN realmente aumentará la latencia (es decir, ralentizará el enlace WAN). Pero en todos los casos, el ahorro de ancho de banda debe ser el mismo independientemente de la velocidad del enlace WAN. En otras palabras, si desea reducir los costos del enlace WAN a través de esta configuración de optimización WAN, siempre puede obtenerlo, ya que reduce el ancho de banda general en casi todos los casos (incluidos los datos cifrados y precomprimidos).
Para obtener más detalles sobre el hardware de instalación de TOFFEE, consulte amablemente: Guía de selección de hardware de TOFFEE

Configuración de TOFFEE para usuarios de bricolaje

Otros escenarios de implementación de TOFFEE (y / o TOFFEE-DataCenter):

  • Implementación de TOFFEE (y / o TOFFEE-DataCenter) con dispositivos VPN: AQUÍ
  • Implementación de TOFFEE (y / o TOFFEE-DataCenter) con caché de proxy web: AQUÍ
  • TOFFEE-DataCenter una variante TOFFEE para aplicaciones de Data Center: AQUÍ
  • TOFFEE-DataCenter como un VNF para NFV: AQUÍ
  • Implementación de TOFFEE (y / o TOFFEE-DataCenter) en grandes infraestructuras o redes de ISP: AQUÍ
  • Las redes ISP de TOFFEE (y / o TOFFEE-DataCenter) optimizadas (en vuelo/marinas/defensa): AQUÍ
  • Las redes de backhaul inalámbricas móviles optimizadas de TOFFEE (y / o TOFFEE-DataCenter): AQUÍ
  • TOFFEE (y / o TOFFEE-DataCenter) redes inalámbricas de malla optimizadas - B.A.T.M.A.N [open-mesh.org (Open Mesh)]: AQUÍ
  • TOFFEE-DataCenter con GlusterFS Storage Cluster: AQUÍ
  • Implementación de TOFFEE Data-Center WAN Optimization en Big Data Analytics: AQUÍ
  • Plataforma TOFFEE Data-Center optimizada para Internet de las cosas (IoT): AQUÍ
  • TOFFEE-Butterscotch un TOFFEE para el ancho de banda Home/SOHO Internet/WAN: AQUÍ



Aquí hay una perspectiva arquitectónica rápida de cómo TOFFEE-DataCenter optimiza los paquetes discretos entrantes:
Optimización de paquetes con TOFFEE-DataCenter [CDN]



Suggested Topics:


TOFFEE - WAN Optimization


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


Recommended Topics:

The TOFFEE Project :: TOFFEE-Butterscotch :: Save and Optimize your Internet/WAN bandwidth ↗
Saturday' 13-Mar-2021
TOFFEE-Butterscotch is an open-source software which can be used to save and optimize your 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.

Power consumption of my Home Lab devices for research ↗
Saturday' 13-Mar-2021
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.

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

Network Latency and Bandwidth Assessment - for Network Admins and Infrastructure Architects ↗
Saturday' 13-Mar-2021

YouTube Video Network Traffic Optimization - WAN Optimization Demo ↗
Saturday' 13-Mar-2021

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.

Watch on Youtube - [1888//1] Deep Space Communication - Episode1 - Introduction ↗


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.

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

TOFFEE DataCenter WAN Optimization - Google Hangouts demo and VOIP Optimization ↗
Saturday' 13-Mar-2021
TOFFEE DataCenter WAN Optimization - Google Hangouts demo and VOIP Optimization

Network Packet Queue or Buffer - Packet Flow Control, Fragmentation and MTU ↗
Saturday' 13-Mar-2021
Network Packet Queue or Buffer - Packet Flow Control, Fragmentation and MTU



Featured Educational Video:
Watch on Youtube - [4073//1] 0x1c9 NAS OS | Expert's take on FreeNAS vs UNRAID | My two cents | Best Tips ↗

Building my own CDN - Finally Completed - Update: 17-Dec-2017 ↗
Saturday' 13-Mar-2021
Today I finally completed building my own private CDN. As I discussed so far in my earlier topics (Building my own CDN), I want to custom build the same step-by-step from scratch. And I don't want to for now use/buy third-party CDN subscriptions from Akamai, CloudFlare, Limelight, etc as I discussed earlier.

TOFFEE-DataCenter :: Features Supported ↗
Saturday' 13-Mar-2021
Here is a list of TOFFEE-DataCenter features supported. TOFFEE-DataCenter currently supports some of the important features such as loss-less network data compression, Packet Deduplication (protocols/applications supported), Application Acceleration, TCP Acceleration, dynamic MTU optimization, data packaging, hardware offload support, etc.

The TOFFEE Project :: TOFFEE :: WAN Optimization ↗
Saturday' 13-Mar-2021
TOFFEE is an open-source WAN Optimization (Network Performance Optimization) software which can be used to optimize your critical networks.

TCP Tune-up and Performance Analysis Graphs - Congestion Control - Research - Dos and Don'ts ↗
Saturday' 13-Mar-2021




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.



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 [CDN]


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