El proyecto TOFFEE
CASADOCUMENTACIÓNACTUALIZACIONESVIDEOSINVESTIGACIÓNDESCARGARPATROCINADORESCONTACTO


DOCUMENTATION 》 TOFFEE hardware selection guide

Language :: Portuguese

When you build a WAN Optimization device with TOFFEE the entire packet processing (data optimization) takes place in software layer or in other words more precisely Operating System kernel space. However if you have any compression or encryption hardware accelerator hardware card the parts of the TOFFEE packet processing modules can be offloaded to hardware layer and thus improving its efficiency.

But the focus and assumption in this guide is that you are using a generic computing platform such as PC/server/IoT device to build a WAN Optimization device with TOFFEE platform, since hardware offload option is only feasible for large OEMs and other such commercial equipment manufacturers. So it is important that based on your WAN speeds within which these TOFFEE devices are to be deployed, you need to choose your hardware specifications as suggested in this guide.

Understanding CPU Benchmarks:
Introducing TrueBench - a high resolution CPU benchmarking system:
TrueBench
TrueBench is an unique 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. For more details: visit TrueBench

Applications(use-cases) of TrueBench:

  • building low-latency high performance networking devices
  • embedded/SoC CPU (platform) evaluation
  • server and datacenter hardware evaluation
  • new product design/architecture evaluation
  • scientific applications (such as HPC, Super-Computers, etc)

Choosing the CPU for your TOFFEE device:
Here is a definitive guide which will help you to choose the CPU for your TOFFEE WAN Optimization device. TOFFEE source-code is highly modular. It can scale-up or scale-down its optimization level based on your hardware and more precisely CPU processing potential. Having said that lets assume you have enabled all optimization levels. In that context here is the table which gives an idea to choose your CPU according to your deployment specific WAN network speeds:

NOTE: This table is derived after extensive trials, testing and research over several years. And as well a co-relation between CPU's benchmarks (such as TrueBench) single thread performance benchmarks vs standard multi-thread benchmarks vs TOFFEE's real-time performance during extensive high-load packet processing.

CPU / Hardware Specs TrueBench Score WAN Speeds
Raspberry Pi3 Model B 1.2GHz 64-bit quad-core ARMv8; 1GB RAM 1,310,619,137 <= 5-10Mbps
ARM Cortex-A53(ARMv8 64bit) (ODROID-C2) 1.50 GHz, Quad Core, ODROID-C2 - IoT single board computer(SBC) 949,003,080 <= 10-20Mbps
Intel Atom D525 1.80 GHz, Dual Core, 13 W TDP 874,076,069 <= 20-30Mbps
High-end Server:
Intel Xeon E3-1240 v3
91,632,198 <= 300-600Mbps
High-end Desktop:
Intel core i7 6700K
44,200,382 <= 700-900Mbps (1Gbps approx)

So in case if you are building your own WAN Optimization device (or in general any networking device), you can benchmark with TrueBench (as suggested in the TrueBench website) and submit me your results (screen output).

TOFFEE-DataCenter: For the same/similar above specs, TOFFEE-DataCenter should provide only half the performance (WAN speeds) as compared to TOFFEE. The reason being TOFFEE-DataCenter does user-space packet processing and it is lot more versatile, flexible and modular. Due to this TOFFEE-DataCenter is capable of optimizing the data far more than TOFFEE.

Choosing the RAM/memory for your TOFFEE device:
TOFFEE device just like any typical Linux system needs just minimum amount of RAM. The entire data processing of packets will take place in your RAM. By no means TOFFEE uses your harddisk (or any secondary storage) space for packet processing. So whether it is Gigabit WAN or within 100Mbps speeds, choose RAM which has around 4-8GB of overall capacity.

However to achieve maximum optimal performance especially for high-speed WAN links, I highly recommend you to choose RAM with maximum speed. Such as DDR4 (with 2.8GHz or so). This gives the best CPU<>Memory bus interconnect speeds and improves your packet processing capabilities of your TOFFEE device. This is also sometimes applicable not just TOFFEE hardware build, but any such network devices which deals with real-time data/packet processing.

Choosing server hardware for Gigabit speeds (1G/10G and so on):Here are some examples:

Lanner FW-8894 :: 1U High Performance x86 (Dual CPU) Network Appliance for Enterprise Firewall, UTM and IPS
Lanner FW-8894
Lanner FW-8894

Lanner NCA-5210 :: 1U Mid-range Modular x86 (Single CPU) Network Appliance for Next Generation Firewall, UTM and Web Security
Lanner NCA-5210
Lanner NCA-5210

Lanner NCA-5510 :: 1U High Performance x86 (Single CPU) Network Appliance for Enterprise Firewall, UTM and IPS
Lanner NCA-5510
Lanner NCA-5510
* image courtesy Lanner Electronics Inc.

A sample low-performance TOFFEE Hardware which I built:

Intel Celeron C1037U fanless hardware
Intel Celeron C1037U fanless hardware

Intel Celeron C1037U fanless hardware

Intel Celeron C1037U fanless hardware

References:



Temas sugeridos:


TOFFEE - Optimización WAN


Categories

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


Temas recomendados:

TOFFEE-DataCenter Live Demo with Clash of Clans game data - 30-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 that I do not need two devices for this purpose.

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.

CDN Hosting ↗
Saturday' 13-Mar-2021
It is quite interesting that there are few web hosting firms are offering direct CDN based hosting services. Since it is a direct CDN based hosting, it is cheap, extremely easy or transparent CDN service. It is transparent, since each time you publish your content in the hosting web-server (origin server), it is immediately is in sync automatically in the user-serving CDN caching machines. Since the hosting vendor and the CDN vendor are all the same, it is also easy to use their services. There is no incompatibility issues, interoperability issues, and better integrated analytics, are all the benefits of CDN Hosting services.

Building my own CDN - Google PageSpeed Insights - Update: 22-Jul-2016 ↗
Saturday' 13-Mar-2021
Ever since after I launched my new The TOFFEE Project website on 1-May'2016, I can see there is a steep increase in traffic. Soon after the launch when I monitored its Alexa rankings it was reporting about 12 Million or so. But once it is getting more and more traffic the Alexa rankings shot up and now currently it shows around 2 Million (as on 22-July-2016). Alexa is an excellent tool to monitor your overall website global ranking and indirectly its performance. Unlike Google Analytics which is bound one or other way into Google's SEO. Alexa gives you a second opinion about your website's growth.

Network Latency and Bandwidth Assessment - for Network Admins and Infrastructure Architects ↗
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.



TOFFEE-Mocha WAN Emulation software development - Update: 16-June-2016 ↗
Saturday' 13-Mar-2021
I started TOFFEE-Mocha WAN Emulation software development on 1-June-2016. I took the existing TOFFEE components as a base. Although the TOFFEE-Mocha is entirely an independent fresh Open-Source WAN Emulation solution. Ever since I am in the process of defining and inventing features. So far I come up with the most important feature which is expected to be present in any WAN Emulation software is the packet delay option.

Riverbed and Silver Peak WAN Optimization vs TOFFEE-DataCenter (TOFFEE and or TrafficSqueezer) - FAQ ↗
Saturday' 13-Mar-2021

DIY TOFFEE WAN Optimization Device with Intel Celeron Mini PC ↗
Saturday' 13-Mar-2021
Here is a step-by-step DIY to build your own Intel based Mini PC WAN Optimization Device with TOFFEE. I chose this below Intel Celeron Mini PC since it is fan-less aluminium case and as well it has 2 dedicated inbuilt Gigabit Ethernet ports. You can use one for LAN Network and one for WAN Network.

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



Featured Educational Video:
Watch on Youtube - [943//1] x23e TrueNAS ZFS Pool Resilver over and over again issue | ZFS NAS Storage | Forever Resilver ↗

WAN Optimization Network Stack Architecture - Linux Kernel vs Intel DPDK vs Custom Packet Forward ↗
Saturday' 13-Mar-2021

Internet optimization through TOFFEE-DataCenter WAN Optimization Demo ↗
Saturday' 13-Mar-2021
Internet optimization through TOFFEE-DataCenter WAN Optimization Demo

TOFFEE (and TOFFEE-DataCenter) deployment in Large Infrastructure and or ISP Networks ↗
Saturday' 13-Mar-2021
Large Infrastructure or ISP setup: In case if you are an ISP and interested in deploying a large customer WAN Optimized network or an add-on enhanced (WAN Optimized) network for select few customers, then you can deploy something as shown below. Although this case is not meant for hobby/DIY users. This is a feasible solution for high-end professional application and the same can be deployed.

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-Butterscotch Bandwidth saver software development - Update: 28-Oct-2016 ↗
Saturday' 13-Mar-2021
Here is my first software development update of TOFFEE-Butterscotch. In my first TOFFEE-Butterscotch news update I have introduced about TOFFEE-Butterscotch research, project specifications, use-cases, etc. Introducing TOFFEE-Butterscotch Alerts: These are simple packet counters which corresponds to the filter type. For example if the incoming TCP-SYN packets are blocked then its corresponding alert counter will increment whenever such a packet arrives and gets filtered (dropped).



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 [CDN]


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