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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:



Tópicos sugeridos:


TOFFEE - Otimização de WAN


Categories

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


Tópicos recomendados:

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Bulk Ping Tests - WAN Acceleration ↗
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My Lab Battery Purchase and Service logs for Research ↗
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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.



TOFFEE-DataCenter a TOFFEE variant for Data Center applications ↗
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TOFFEE (and TOFFEE-DataCenter) optimized Mobile Wireless Backhaul Networks ↗
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TOFFEE can be used to optimize expensive Wireless backhaul network infrastructure. TOFFEE can be deployed over existing slow or often outdated old backhaul networks too. This will leverage mobile ISPs and network service providers to reduce their bulk IT CapEx and OpEx Costs.

Skype VOIP Data - WAN Acceleration ↗
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TOFFEE hardware selection guide ↗
Saturday' 13-Mar-2021
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.



Featured Educational Video:
Assista no Youtube - [89//1] B.E and M.E Final Year Projects - Form your Team ↗

TOFFEE (and TOFFEE-DataCenter) deployment with VPN devices ↗
Saturday' 13-Mar-2021
In case if you need to deploy TOFFEE along with your existing VPN devices you can deploy the same as shown below. This will allow your VPN devices to encrypt your TOFFEE WAN Optimized network data. NOTE: Make sure about the VPN deployment topology done in the right order. Else TOFFEE (LAN side) may get VPN encrypted packets which may not be possible (and or difficult) to further optimize. Hence always make sure to deploy them in a topology suggested below so that TOFFEE devices are out of VPN tunnel.

TOFFEE Download :: TOFFEE-1.1.70-1-portable ↗
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Communication data network standards and data transfer speeds :: Chart ↗
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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.

First TOFFEE Code Release ↗
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I started working on the new TOFFEE project (which is the fork of my earlier TrafficSqueezer open-source project) starting from 1st January 2016 onwards. Ever since I was busy in research and altering certain old features so that it is more minimal than TrafficSqueezer, a more focused agenda, deliver refined code and a broader vision. I have lined up more things to follow in the upcoming months. I want to focus about all aspects of WAN communication technologies not just on core WAN Optimization research and technology.



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TOFFEE-Mocha - WAN Emulator :: TOFFEE-MOCHA-2.0.3-0-10-nov-2018-x86-64.iso ↗
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Download TOFFEE-MOCHA-2.0.3-0-10-nov-2018-x86-64.iso via Google Drive share: Live bootable x86-64 Debian Stretch 9.5 with light-weight LXDE UI ISO (includes source-code): TOFFEE-MOCHA-2.0.3-0-10-nov-2018-x86-64.iso You can find the source tar-ball in the /root folder. To know more about the project kindly refer TOFFEE- Mocha: News and Updates - Documentation. To know more about current specific release, objectives, features, release notes/updates, quick demo and future road-map, you can watch my video below.



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 [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