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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


Recommended Topics:

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Saturday' 13-Mar-2021
Today I refined the first page consolidated report graphs. TOFFEE-Mocha (unlike TOFFEE) is a WAN Emulator, so the graphs are supposed to highlight this purpose and should display the overall network activity. Unlike TOFFEE, the TOFFEE-Mocha report should contain in general what is received versus what is sent across the wire. In case if the packet drop feature is enabled, you should see few missing bytes and packets. Similarly in future I may support packet duplication feature, in that case you may see more packets/bytes sent versus the packets/bytes actually received.

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Raspberry Pi is often used as a single board computer for applications such as IoT, hobby projects, DIY, education aid, research and prototyping device. But apart from these applications Raspberry Pi can be used for real-world applications such as in making a full-fledged networking devices. Raspberry Pi is a single board ARM based hardware which is why it is also classified as ARM based SoC. Since it is ARM based it is highly efficient, tiny form-factor and lower in power consumption with moderate computational power. This will allow it to work several hours on emergency battery backup power supply such as low-cost domestic UPS and or some renewable energy source, which is a prerequisite for a typical networking device.

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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-Mocha WAN Emulation software development - Update: 15-July-2016 ↗
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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).

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Recording Lab Monthly power-consumption readings for Research ↗
Saturday' 13-Mar-2021
Here is my home lab monthly power-consumption readings for research. This will help to measure and monitor the overall power usage and assess the power requirements. This will help me in future purchases such as UPS, battery upgrades and so on. And as well remove replace old obsolete hardware with new less power-consuming devices.

The TOFFEE Project :: TOFFEE-Mocha :: WAN Emulator ↗
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The TOFFEE Project :: TOFFEE-Mocha :: Linux Open-Source WAN Emulator

Why TOFFEE is forked from TrafficSqueezer ↗
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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.



Featured Educational Video:
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TOFFEE Data-Center WAN Optimization deployment in Big Data Analytics ↗
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Research :: Optimization of network data (WAN Optimization) at various levels:
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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