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DOCUMENTATION 》 TOFFEE with Hardware Compression and Decompression Accelerator Cards

You can build a basic TOFFEE WAN Optimization hardware completely in software layer (i.e its networking data-plane and control-plane). And if you are a product manufacturer you can make commercial WAN Optimization products with TOFFEE with software layer alone. And if you choose to improve its performance, you can use any third-party PCIe Compression Accelerator cards.

Here is the TOFFEE system architecture with and without hardware accelerator card (i.e Hardware offload). Hardware offload will greatly reduce the load on general purpose CPU (which is your software/OS layer) and the core data optimization operation such as loss-less compression (sometimes even encryption) is done within a dedicated Hardware Accelerator card (or chip) as shown below.
TOFFEE Architecture with Compression and Decompression Accelerator Card [CDN]

In this case TOFFEE will work as an WAN Optimization framework. With this framework you can architect your entire commercial WAN Optimization product series. You need to modify TOFFEE Linux kernel modules (and APIs) so that it no longer choose kernel's LZ77, LZO or LZ4 software compression libraries (which is CPU bound), instead point to the hardware accelerator card vendor provided kernel's driver/library APIs. This makes packet data compression within TOFFEE Linux Kernel module CPU bound to dedicated co-processor hardware compression accelerator card bound.

It is a well known fact that Linux Kernel's Kernel modules are not great at scaling with multiple CPU Processor Cores. So in a systems architecture point of having more CPU cores in a TOFFEE WAN Optimization device gives no significant advantage. The per-core CPU performance is what required for a workload like TOFFEE packet data optimization. So if architect a high-end WAN Optimization device you need to consider hardware acceleration offload if feasible.

For example: Here is a general purpose AHA AHA363PCIE0301G 5Gbs GZIP Compression/Decompression Accelerator Card. Typical applications (or use-cases) of this card could be Storage Arrays, Load Balancers, WAN Optimization, Web Servers, Data Analytics, etc.
Comtech AHA AHA363PCIE0301G 5Gbs GZIP Compression/Decompression Accelerator Card
Image courtesy/link: https://images-na.ssl-images-amazon.com/images/I/61kMl1v4BmL._SL1500_.jpg



Intel FPGA PAC D5005 High-end Drop-in Accelerator: Here is yet another but general purpose FPGA Accelerator card can be used for processing high-bandwidth Network and Storage Data Processing (hardware offload). Read the complete article here.
Intel FPGA PAC D5005 On HPE ProLiant DL380 Gen10
Image courtesy/link: https://www.servethehome.com/wp-content/uploads/2019/08/Intel-FPGA-PAC-D5005-on-HPE-ProLiant-DL380-Gen10.jpg
Intel FPGA PAC D5005
Image courtesy/link: https://www.servethehome.com/wp-content/uploads/2019/08/Intel-FPGA-PAC-D5005-Diagram.jpg


References:



建议主题:


TOFFEE - 广域网优化


Categories

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


推荐主题:

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.

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Saturday' 13-Mar-2021

How to check a website using CDN ? ↗
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TOFFEE-Mocha Documentation :: TOFFEE-Mocha - Jitter feature ↗
Saturday' 13-Mar-2021

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 Data-Center optimized Internet of Things (IoT) Platform ↗
Saturday' 13-Mar-2021



TOFFEE-Mocha Documentation :: TOFFEE-Mocha-1.0.32-1-x86_64 and TOFFEE-Mocha-1.0.32-1-i386 ↗
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

Timelapse Screen Capture of TOFFEE-DataCenter Network Acceleration - with new RRDtool graph support ↗
Saturday' 13-Mar-2021
Timelapse Screen Capture of TOFFEE-DataCenter Network Acceleration - with new RRDtool graph support

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).



Featured Educational Video:
在YouTube上观看 - [171//1] 169 Q&A - Add additional HardDrive or storage space in Linux VirtualBox VM ↗

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

IP Header Compression in WAN Links and TOFFEE-DataCenter WAN Optimization ↗
Saturday' 13-Mar-2021

TOFFEE-Mocha WAN Emulation software development - Update: 17-June-2016 ↗
Saturday' 13-Mar-2021
Now I supported and finished complete GUI support of these parameters so that you can configure, store, reboot and the same will restore upon reboot. Besides I complete the TOFFEE-Mocha Big-Picture page. The Big picture is an interface where you can find all the configuration (or settings) of the TOFFEE-Mocha. This is almost similar to CISCO device show all command but in graphical representation. Sometimes a network admin can also print the Big Picture page and paste it near to the device to refer its settings.

TOFFEE-Mocha WAN Emulation software development - Update: 18-June-2016 ↗
Saturday' 13-Mar-2021
In the previous update (17-Jun-2016) I discussed about the upcoming new Random Packet drop feature along with other completed features. Now I completed the entire TOFFEE-Mocha Random packet drop feature. I completed all the kernel components and the UI support of the same. And to make GUI settings more organized I split the earlier Basic-Settings page into two separate pages namely: Packet Drop and Packet Delay. So this way it is simple to understand settings according to their functionality.




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.



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