Проект TOFFEE
ГЛАВНАЯДОКУМЕНТАЦИЯОБНОВЛЕНИЕВИДЕОИССЛЕДОВАНИЕСКАЧАТЬСПОНСОРЫконтакт


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


Рекомендуемые темы:

TOFFEE-Mocha-1.0.32-1-x86_64 and TOFFEE-Mocha-1.0.32-1-i386 Code Release ↗
Saturday' 13-Mar-2021
This is my first TOFFEE-Mocha combined x86-64 and i386 (Intel x86 64-bit and 32-bit) code release.

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.

Tweaking Network Latency - Live Demo - via TOFFEE-DataCenter ↗
Saturday' 13-Mar-2021

Riverbed and Silver Peak WAN Optimization vs TOFFEE-DataCenter (TOFFEE and or TrafficSqueezer) - FAQ ↗
Saturday' 13-Mar-2021

Amazon Prime video - Video Acceleration No more Buffering Problems - WAN Acceleration ↗
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.



Network MTU research and optimization of WAN Links ↗
Saturday' 13-Mar-2021
Network MTU research and optimization of WAN Links

LoRaWAN - Network Optimization via TOFFEE WAN Optimization ↗
Saturday' 13-Mar-2021
LoRaWAN - Network Optimization via TOFFEE WAN Optimization

TOFFEE-Mocha WAN Emulation software development - Update: 15-July-2016 ↗
Saturday' 13-Mar-2021
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-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.



Featured Educational Video:
Watch on Youtube - [4073//1] 0x1c9 NAS OS | Expert's take on FreeNAS vs UNRAID | My two cents | Best Tips ↗

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

TOFFEE (and TOFFEE-DataCenter) optimized Wireless Mesh-Networks - B.A.T.M.A.N [open-mesh.org (Open Mesh)] ↗
Saturday' 13-Mar-2021
TOFFEE/TOFFEE-DataCenter can be used to optimize Ad-Hoc Mobile Wireless Mesh-Networks. To learn more about the same here are some references: B.A.T.M.A.N. - https://en.wikipedia.org/wiki/B.A.T.M.A.N. Mobile ad hoc network (MANET) - https://en.wikipedia.org/wiki/Mobile_ad_hoc_network Wireless ad hoc network (WANET) - https://en.wikipedia.org/wiki/Wireless_ad_hoc_network open-mesh.org (Open Mesh) Wiki - https://www.open-mesh.org/projects/open-mesh/wiki

TOFFEE Data-Center WAN Optimization deployment in Big Data Analytics ↗
Saturday' 13-Mar-2021

TOFFEE Documentation :: TOFFEE-1.1.24-3-rpi2 ↗
Saturday' 13-Mar-2021
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.




TOFFEE-DataCenter with GlusterFS Storage Cluster ↗
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 [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