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DOCUMENTATION 》 TOFFEE-DataCenter with GlusterFS Storage Cluster

TOFFEE-DataCenter with GlusterFS Storage Cluster: GlusterFS Storage Cluster (cloud storage) is a distributed cluster network-attached storage file system often used in cloud computing, streaming media services, and content delivery networks (CDN). GlusterFS can be implemented as file-based mirroring and replication, file-based striping, file-based load balancing, volume failover, scheduling and disk caching, storage quotas, and volume snapshots. And this can span across tens and hundreds of servers. GlusterFS is open-source, incredibly powerful, easy to scale and relatively easy to setup and because of these reasons the biggest players in IT world such as Facebook, and many others are building their entire IT storage infrastructure with GlusterFS. With TOFFEE-DataCenter you can optimize huge data volumes of GlusterFS servers connected between the main data-center(s) and remotely connected remote disaster recovery site(s) as shown below.

TOFFEE-DataCenter WAN Optimization with GlusterFS Storage Cluster

For example here is TOFFEE-DataCenter (or TOFFEE) optimized ISP networks(tunnels) between countries. In this case there is an ISP in Libya having slow backbone Internet, hence he can establish a TOFFEE based optimized tunnel between Romania Data-center (having high-speed internet) and Libya. Similarly there is another ISP in Argentina is able to boost his backbone Internet services by establishing a tunnel between his ISP and US West-Coast (California) Data-center. For more details click HERE.
TOFFEE-DataCenter optimized ISP network tunnels between countries [CDN]

ISPs can also build multiple TOFFEE optimized tunnels for redundancy, load-share, etc. And in this case the ISP in Argentina established two tunnels. One between Argentina ISP to US West-Coast (California) Data-center and the other between Argentina ISP Romania Data-center as shown below.
TOFFEE-DataCenter optimized ISP network tunnels between countries2 [CDN]

Learn more about: TOFFEE WAN Optimization deployment



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:

Streaming CDN Types ↗
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).

Amazon Prime video - Video Acceleration No more Buffering Problems - WAN Acceleration ↗
Saturday' 13-Mar-2021

Building my own CDN - Google PageSpeed Insights - Update: 22-Jul-2016 ↗
Saturday' 13-Mar-2021
Ever since after I launched my new The TOFFEE Project website on 1-May'2016, I can see there is a steep increase in traffic. Soon after the launch when I monitored its Alexa rankings it was reporting about 12 Million or so. But once it is getting more and more traffic the Alexa rankings shot up and now currently it shows around 2 Million (as on 22-July-2016). Alexa is an excellent tool to monitor your overall website global ranking and indirectly its performance. Unlike Google Analytics which is bound one or other way into Google's SEO. Alexa gives you a second opinion about your website's growth.

Network Packet Queue or Buffer - Packet Flow Control, Fragmentation and MTU ↗
Saturday' 13-Mar-2021
Network Packet Queue or Buffer - Packet Flow Control, Fragmentation and MTU

Internet optimization through TOFFEE-DataCenter WAN Optimization Demo ↗
Saturday' 13-Mar-2021



TOFFEE-Mocha WAN Emulation software development - Update: 1-July-2016 ↗
Saturday' 13-Mar-2021
Today I got a feature request from Jonathan Withers. Jonathan is from a company called MultiWave Australia. He said he is able to get the TOFFEE-Mocha Raspberry Pi setup up and with that he is able to emulate geostationary satellite link. But he requested me is there a way to extend the constant packet delay from 40mS to 500mS. So as a part of his request I supported the same in the current ongoing development version of TOFFEE-Mocha.

My Lab Battery Purchase and Service logs for Research ↗
Saturday' 13-Mar-2021
Here is a complete log of my lab battery purchase, service record which I maintain in Google drive. These I use for my home (or my family generic use) as well as a part of my home lab. I maintain a detailed log this way to monitor the failure rate of these batteries. This will allow me to select a specific brand/model which has higher success rate and to monitor any premature failure/expiry. The service log helps me to monitor and schedule the next service routine so that I can maintain these batteries in tip-top condition.

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 hardware selection guide ↗
Saturday' 13-Mar-2021
When you build a WAN Optimization device with TOFFEE the entire packet processing (data optimization) takes place in software layer or in other words more precisely Operating System kernel space. However if you have any compression or encryption hardware accelerator hardware card the parts of the TOFFEE packet processing modules can be offloaded to hardware layer and thus improving its efficiency.



Featured Educational Video:
在YouTube上观看 - [8613//1] x254 Kernel Init Code without Kernel Module - Kernel Programming Tip #linode ↗

TOFFEE-Mocha WAN Emulation software development - Update: 17-June-2016 ↗
Saturday' 13-Mar-2021
Now I supported and finished complete GUI support of these parameters so that you can configure, store, reboot and the same will restore upon reboot. Besides I complete the TOFFEE-Mocha Big-Picture page. The Big picture is an interface where you can find all the configuration (or settings) of the TOFFEE-Mocha. This is almost similar to CISCO device show all command but in graphical representation. Sometimes a network admin can also print the Big Picture page and paste it near to the device to refer its settings.

CDN Content Delivery Networks - Types ↗
Saturday' 13-Mar-2021

TOFFEE-DataCenter screenshots on a Dual CPU - Intel(R) Xeon(R) CPU E5645 @ 2.40GHz - Dell Server ↗
Saturday' 13-Mar-2021

TOFFEE-DataCenter - First Live Demo and software development - Update: 26-Aug-2016 ↗
Saturday' 13-Mar-2021
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 I do not need two devices for this purpose.



在YouTube上观看 - [889//1] 280 WAN Optimization - Animated demo of Packet Optimization in TOFFEE-DataCenter ↗

Internet optimization through TOFFEE-DataCenter WAN Optimization Demo ↗
Saturday' 13-Mar-2021
Internet optimization through TOFFEE-DataCenter WAN Optimization Demo



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 [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