O projeto TOFFEE
CASADOCUMENTAÇÃOATUALIZAÇÕESVÍDEOSPESQUISADESCARREGARPATROCINADORESCONTATO


RESEARCH 》 Replacing in Lab Intel Core i7 5820K Desktop PC with Intel Celeron 1037U Mini-PC

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 (such as Intel NUC, Intel Compute stick and so on). For few cases I can still choose to use my high-end desktop such as kernel builds via remote SSH terminal connection, etc. But choose to use Mini-PC as a regular desktop for all basic workloads. And sometimes for simple software development such as user-space components and GUI modules.

A laptop can be used instead of a Mini-PC, but the laptops in my lab are being used as a dedicated compact test systems already. And sometimes a Mini-PC is a better choice than a laptop, since when you purchase a laptop you need to buy entire package (such as the RAM, Harddrive, inbuilt monitor/screen etc). But a Mini-PC gives the choice, flexibility and it is modular unlike a laptop. Hence a Mini-PC is cost effective.

As a part of my research I am recording my lab's monthly power consumption. And I hope after this change I can see the difference in the power consumption. For more details visit the article: Recording Lab Monthly power-consumption readings for research

I measured with a kill-a-watt meter the power-consumption characteristics of this Mini-PC vs Core i7 desktop. When you compare there is huge difference between Mini-PC vs high end desktop especially a simple regular work-load. So for extreme work-loads a high-end desktop is perfect such as kernel builds, etc but for everyday casual computing a Mini-PC is just perfect. For more details visit the article: Power consumption of my Home Lab devices for research

For more details kindly watch my Youtube VLOG below:

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


Tópicos recomendados:

Moon Base and Space Colonization - First we need fast InterPlanetary Internet ↗
Saturday' 13-Mar-2021

CDN Introduction - Content Delivery Networks or Content Distribution Networks ↗
Saturday' 13-Mar-2021

TOFFEE Benchmarks :: TOFFEE-1.1.28 ↗
Saturday' 13-Mar-2021
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).

TOFFEE-Mocha Documentation :: TOFFEE-Mocha-1.0.32-1-x86_64 and TOFFEE-Mocha-1.0.32-1-i386 ↗
Saturday' 13-Mar-2021

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

TOFFEE (and TOFFEE-DataCenter) deployment with web-proxy cache ↗
Saturday' 13-Mar-2021
If you want to deploy TOFFEE along with a web-proxy cache (such as Squid Proxy) you can deploy the same as shown below. TOFFEE does not cache files. TOFFEE does packet level network optimization. So if you want caching your web content you can use transparent mode web-proxy cache intercepting your WAN links. A web-proxy may reduce amount of data being processed (optimized) within these TOFFEE devices and so reduce the CPU overheads and improve its performance.



Tracking Live TCP Sessions (connections) - WAN Optimization Device ↗
Saturday' 13-Mar-2021

Benchmark Raspberry Pi and other embedded SoC with TrueBench ↗
Saturday' 13-Mar-2021
TrueBench is an unique open-source 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. With TrueBench Raspberry Pi 3, Raspberry Pi 2B and Raspberry Pi 2 are benchmarked and you can do a comparative analysis with standard mainstream x86 devices.

TOFFEE-Mocha - WAN Emulator :: TOFFEE-MOCHA-2.0.3-0-10-nov-2018-x86-64.iso ↗
Saturday' 13-Mar-2021
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.

Introducing TOFFEE-Butterscotch - Save and Optimize your Internet/WAN bandwidth ↗
Saturday' 13-Mar-2021
TOFFEE-Butterscotch yet another variant of TOFFEE can be used to save and optimize your Home/SOHO Internet/WAN bandwidth. Unlike TOFFEE (and TOFFEE-DataCenter) TOFFEE-Butterscotch is a non peer-to-peer (and asymmetric) network optimization solution. This makes TOFFEE-Butterscotch an ideal tool for all Home and SOHO users.



Featured Educational Video:
Assista no Youtube - [17445//1] 294 - VRF - Virtual Routing and Forwarding - Introduction ↗

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

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).

TCP Tune-up and Performance Analysis Graphs - Congestion Control - Research - Dos and Don'ts ↗
Saturday' 13-Mar-2021

Introducing TOFFEE-Fudge - Network Packet Generator ↗
Saturday' 13-Mar-2021
TOFFEE Fudge is a simple intuitive Network Packet Generator which can be used to create custom test synthetic Network Packets and can be used in various applications such as networking research, network infrastructure troubleshooting, ethical hacking, as a network software development tool and so on.



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

TEST CASES :: TEST RESULTS :: Raspberry Pi WAN Emulator TOFFEE-Mocha-1.0.14-1-rpi2 ↗
Saturday' 13-Mar-2021



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