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DOCUMENTATION 》 TOFFEE Benchmarks :: TOFFEE-1.1.28

Here is the TOFFEE WAN Optimization benchmarks of the TOFFEE version: TOFFEE-1.1.28. This is the current TOFFEE development version till date (2-Jul-2016). This is a HPC TOFFEE variant meant for high-end custom build servers and high-end desktops (i.e High Performance Computing a.k.a HPC). TOFFEE built this way often needs customized kernel compilation and build such as processor specific and hardware specific tune-ups since it is highly CPU intensive (if not offloaded via Hardware Accelerator Cards).

For the same reason, the generic TOFFEE releases are done always for selective hardware configuration, such as Intel Mobile computing platforms, Intel NUC, Intel Atom series, Raspberry Pi, etc. Based on each individual processor computational capabilities TOFFEE is customized and released. But a HPC TOFFEE always custom made, custom compiled on-demand for OEMs, Hardware vendors, etc after collecting their complete deployment hardware specifications. So based on the CPU computational power TOFFEE is scaled up and or scaled down for optimal performance. Without proper customization, kernel tuneup, kernel customization, and TOFFEE tuneup it may cause system performance related issues or worse a kernel crash!

So here are some of the few popular protocols are benchmarked with and without TOFFEE Optimized Network. The gray bar represent the % of data transferred without TOFFEE and the orange bars represents the % of data transferred with TOFFEE. The difference between the gray and orange bars represents the overall % of savings in bandwidth with TOFFEE WAN Optimization. The data collected specific to each protocol type is an overall average of more than 30 tests comprising simulated tests, synthetic tests and real world tests.



Tópicos sugeridos:


TOFFEE - Otimização de WAN


Categories

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


Tópicos recomendados:

My Lab HDD and SSD logs for research ↗
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.

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

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.

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.

CDN Content Delivery Networks - Types ↗
Saturday' 13-Mar-2021



Off-Grid Home Lab Research Solar Installation ↗
Saturday' 13-Mar-2021

TOFFEE-DataCenter as a VNF for NFV ↗
Saturday' 13-Mar-2021

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.

My Lab Battery Purchase and Service logs for Research ↗
Saturday' 13-Mar-2021
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.



Featured Educational Video:
Assista no Youtube - [8613//1] x254 Kernel Init Code without Kernel Module - Kernel Programming Tip #linode ↗

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-Mocha WAN Emulation software development - Update: 20-Oct-2016 ↗
Saturday' 13-Mar-2021
I was doing some specific tests in my TOFFEE and TOFFEE-DataCenter (WAN optimization) scenarios such as variable upload and download speeds. And I was also doing some experiments with speedtest.net and I did some of these tests with TOFFEE-Mocha. I realized there is a case that I can introduce asymmetric constant delays so that you can get different download speed and a different upload speed. And in some cases much faster download speeds and relatively slower upload speeds.

TOFFEE-Mocha Documentation :: TOFFEE-Mocha-1.0.18-1-x86_64 ↗
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.



Assista no Youtube - [466//1] 158 VLOG - TOFFEE WAN Optimization Software Development live update - 6-Nov-2016 ↗

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.



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