RELEASE 》 TOFFEE-DataCenter WAN Optimization :: TOFFEE-DATACENTER-1.3.25-1-portable

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).

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.

Today I finally completed building my own private CDN. As I discussed so far in my earlier topics (Building my own CDN), I want to custom build the same step-by-step from scratch. And I don't want to for now use/buy third-party CDN subscriptions from Akamai, CloudFlare, Limelight, etc as I discussed earlier.

TOFFEE-Butterscotch is an open-source software which can be used to save and optimize your 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.

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.

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-Butterscotch is a 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.

Here is a step-by-step DIY to build your own Intel based Mini PC WAN Optimization Device with TOFFEE. I chose this below Intel Celeron Mini PC since it is fan-less aluminium case and as well it has 2 dedicated inbuilt Gigabit Ethernet ports. You can use one for LAN Network and one for WAN Network.

The TOFFEE Project website is hosted on Inmotion Hosting. And so I am looking for alternate hosting provider to build my first CDN node. My plan is to make multiple sub-domains of my website such as cdn1.the-toffee-project.org, cdn2.the-toffee-project.org and point each of this corresponding subdomain(s) to various alternative web hosting servers geographically spread across the world. Sometimes choosing the same vendor for multiple CDN nodes may result multiple servers existing in the data-center. And this becomes an issue if there is some catastrophic network disaster.

Today I have done a test setup so that I can able to connect my Android Samsung Tab via TOFFEE DataCenter. Below is my complete test topology of my setup. For demo (and research/development) context I configured TOFFEE DataCenter in engineering debug mode. So that I do not need two devices for this purpose.

Here is a list of TOFFEE-DataCenter features supported. TOFFEE-DataCenter currently supports some of the important features such as loss-less network data compression, Packet Deduplication (protocols/applications supported), Application Acceleration, TCP Acceleration, dynamic MTU optimization, data packaging, hardware offload support, etc.