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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.



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:

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.

TEST CASES :: TEST RESULTS :: Raspberry Pi WAN Emulator TOFFEE-Mocha-1.0.14-1-rpi2 ↗
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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.

Setting up a WAN Emulator within VirtualBox ↗
Saturday' 13-Mar-2021

Optimization of network data (WAN Optimization) at various levels ↗
Saturday' 13-Mar-2021
WAN Network data can be optimized at various levels depending upon the network applications, protocols, topology and use-cases. So the amount of data you can optimize will depend on the strategy you choose to optimize. Such as: Network Packet level optimization, Session level optimization, File level optimization, etc.

TEST CASES :: TEST RESULTS :: TOFFEE-Mocha-1.0.32 asymmetric constant packet delay feature ↗
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A study on Deep Space Networks (DSN) ↗
Saturday' 13-Mar-2021
When you are dealing Deep Space Networks (DSN) one among the most challenging parts is the Interplanetary distances and communicating data across such vast distances. This is where we are not dealing with common Internet type traffic such as HTTP/FTP/VoIP/etc but it is completely different when it comes to DSN so far. So optimizing data in DSN becomes mandatory. For example if you think one of the Mars Rovers, they have used LZO lossless compression.

TOFFEE-Mocha Documentation :: TOFFEE-Mocha-1.0.14-1-x86_64 ↗
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YouTube Video Network Traffic Optimization - WAN Optimization Demo ↗
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TEST CASES :: TEST RESULTS :: Raspberry Pi WAN Emulator TOFFEE-Mocha-1.0.14-1-rpi2 ↗
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Featured Educational Video:
在YouTube上观看 - [8613//1] x254 Kernel Init Code without Kernel Module - Kernel Programming Tip #linode ↗

Multi-dimensional (Multi-universe) Internet Technology - A Proposal ↗
Saturday' 13-Mar-2021
Currently what we have is a single homogeneous (sort of) WWW Internet. Which we can consider as a single-dimensional network. What I propose is that we can create complete independent multiple Internets with each Internet having its own IP-address space, Domain namespace and an authority to manage Domain names. And these networks/Internets can be entirely IPv4 only based or IPv6 only based.

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This is my next software development update of TOFFEE-DataCenter which I am working since past few weeks. I was very busy in implementing the core TOFFEE-DataCenter components along with prototyping, benchmarking, implementing and testing the same. However today is the first time ever I did a fresh new CLI interface for the upcoming new TOFFEE-DataCenter.

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Today I completed doing all the changes which are meant for the new upcoming TOFFEE-Mocha release. I have increased the resolution and the range of all factor variables. Instead 1 to 10 range now they have a range of 1 to 30. Unlike before the value 1 means it is lot more intense (or in some cases less intense) and the uppermost value 30 means lot less intense (or in some cases lot intense).




TOFFEE Documentation :: TOFFEE-1.1.24-3-rpi2 ↗
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Here is my VLOG Youtube video of the same which includes details about version release notes, future road-map and so on. The TOFFEE release is highly optimized and customized for hardware platforms such as x86-64 based Intel NUC and other Intel mobile computing platforms such as laptops and so on. This version (or release) is not suited and so not recommended to be used for high-end desktop and server hardware platform.



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


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