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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

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



Suggested Topics:


TOFFEE - WAN Optimization


Categories

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


おすすめトピック:

INDEX :: Content Delivery Networks or Content Distribution Networks (CDN) ↗
Saturday' 13-Mar-2021

TOFFEE (and TOFFEE-DataCenter) deployment in Large Infrastructure and or ISP Networks ↗
Saturday' 13-Mar-2021
Large Infrastructure or ISP setup: In case if you are an ISP and interested in deploying a large customer WAN Optimized network or an add-on enhanced (WAN Optimized) network for select few customers, then you can deploy something as shown below. Although this case is not meant for hobby/DIY users. This is a feasible solution for high-end professional application and the same can be deployed.

TOFFEE-Mocha WAN Emulation software development - Update: 16-June-2016 ↗
Saturday' 13-Mar-2021
I started TOFFEE-Mocha WAN Emulation software development on 1-June-2016. I took the existing TOFFEE components as a base. Although the TOFFEE-Mocha is entirely an independent fresh Open-Source WAN Emulation solution. Ever since I am in the process of defining and inventing features. So far I come up with the most important feature which is expected to be present in any WAN Emulation software is the packet delay option.

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

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

TOFFEE-DataCenter as a VNF for NFV ↗
Saturday' 13-Mar-2021

Youtubeで見る - [466//1] 158 VLOG - TOFFEE WAN Optimization Software Development live update - 6-Nov-2016 ↗


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

Bufferbloat in a Networking Device or an Appliance ↗
Saturday' 13-Mar-2021

TOFFEE-DataCenter :: Features Supported ↗
Saturday' 13-Mar-2021
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.

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.



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

My Lab HDD and SSD logs for research ↗
Saturday' 13-Mar-2021

First TOFFEE Code Release ↗
Saturday' 13-Mar-2021
I started working on the new TOFFEE project (which is the fork of my earlier TrafficSqueezer open-source project) starting from 1st January 2016 onwards. Ever since I was busy in research and altering certain old features so that it is more minimal than TrafficSqueezer, a more focused agenda, deliver refined code and a broader vision. I have lined up more things to follow in the upcoming months. I want to focus about all aspects of WAN communication technologies not just on core WAN Optimization research and technology.

Bitcoin Mining - Blockchain Technology - Network Optimization via TOFFEE Data-Center WAN Optimization ↗
Saturday' 13-Mar-2021
Bitcoin Mining - Blockchain Technology - Network Optimization via TOFFEE Data-Center WAN Optimization

TOFFEE-Mocha WAN emulator Lab deployment and topology guide ↗
Saturday' 13-Mar-2021




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.



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


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