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NEWS & UPDATES 》 Introducing TOFFEE-DataCenter

Since past couple of days I was having sleepless nights as I was working on a new TOFFEE WAN Optimization software variant called as TOFFEE Data-Center. Unlike existing 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.

The new upcoming TOFFEE Data-Center will have basic minimal kernel module plus TOFFEE user-space components. The entire packet processing is done within user-space. And these modules can be spawned according to the load, and system's hardware capabilities. In a typical scenario you can have 10-100 such threads executing simultaneously at any given point of time. If due to any reason if one thread crashes/fails, the other threads will continue to operate. And if required based on the load, new threads can be spawned dynamically. With high-speed load balancing systems, you can build a complete WAN Optimization hardware cluster(s) based on TOFFEE Data-Center variant.

Here is an example of TOFFEE Data-Center deployment in which TOFFEE Data-Center is deployed in one more many servers with optional load-balancers. Click HERE to know more about TOFFEE deployment scenarios and topology.
TOFFEE-DataCenter WAN Optimization

Initial Prototyping and Feasibility tests: A basic prototype and PoC (proof of concept) software is built to test this idea. With the prototype various scenarios are tested with different hardware platforms such as low-end mini-PC, an extreme Core i7 Gaming Desktop, and Intel Xeon server(s). With Xeon Server and Core i7 we can process up to 1-Gigabit Network speeds thus achieving almost wire-speed performance everything within software layer. Making it to work smoothly within software layer is a challenge but it is required for VM, SDN based WAN Optimization device builds.

Software Development standpoint: Unlike the existing TOFFEE, since the new TOFFEE Data-Center is user-space centric, I can do code build, compile, test, debug, bug-fix cycles at much higher rates. Since the architecture is discrete, in future any new components can be plugged in it on demand basis with/without significant code changes. TOFFEE Data-Center (like TOFFEE) can also be used with any hardware compression/acceleration cards. This way you can offload some amount of packet processing load and improve overall system performance.

TOFFEE Data-Center for VM/SDN/Cloud Applications: The TOFFEE Data-Center with its modular architecture is well suited for VM based builds, SDN and Cloud deployments. TOFFEE Data-center is highly portable code which makes it easier to port for any hardware platforms such as ARM, MIPS besides x86.

Hardware Requirements TOFFEE vs TOFFEE Data-Center: TOFFEE needs a good CPU with excellent per-core performance. Traditionally Linux Kernel itself (kernel space modules) is not good at scaling in multi-core/multi-cpu CPU platforms. Instead the user-space apps in a Linux System is good at scaling in multi-core/multi-cpu CPU scenarios. This is the main drawback which can degrade the performance of TOFFEE. But TOFFEE Data-Center is modular so it prefers average single core CPU performance, but more CPU cores since it works in user-space and the load is shared across multiple TOFFEE Data-Center user-space computing modules.

Release schedule of the new upcoming TOFFEE Data-Center: TOFFEE Data-Center is just started (as on 4-Aug-2016) and its a huge project. Once a basic, stable version is developed, as a part of initial first phase the same will be released soon once it is mature and stable. Here is my Youtube VLOG of the same:



Suggested Topics:


TOFFEE-DataCenter - WAN Optimization


Categories

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


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VPN Networks may degrade network performance due to various packet processing overheads such as encryption and by adding extra network protocol header(s) (such as IPv4/IPv6, IPSec, etc). This may inflate near MTU sized packets and causes excessive packet fragmentation. Here are the few examples of packet processing involved in a VPN (or a VPN like) Tunnel. With TOFFEE you can optimize these packets even before they get processed on to a VPN device. TOFFEE optimizes packet contents (application payload and transport headers) so that these TOFFEE optimized packets when they get processed by VPN devices (or VPN software stack) they may never need further packet fragmentation. Here is a deployment scenario of TOFFEE with VPN devices.

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If you want to deploy TOFFEE along with a web-proxy cache (such as Squid Proxy) you can deploy the same as shown below. TOFFEE does not cache files. TOFFEE does packet level network optimization. So if you want caching your web content you can use transparent mode web-proxy cache intercepting your WAN links. A web-proxy may reduce amount of data being processed (optimized) within these TOFFEE devices and so reduce the CPU overheads and improve its performance.

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Featured Educational Video:
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Assume you have two sites (such as Site-A and Site-B) connected via slow/critical WAN link as shown below. You can optimize this link by saving the bandwidth as well possibly improve the speed. However, the WAN speed can be optimized only if the WAN link speeds are below that of the processing latency of your TOFFEE installed hardware. Assume your WAN link is 12Mbps, and assume the maximum WAN optimization speed/capacity of Raspberry Pi is 20Mbps, then your link will get speed optimization too. And in another case, assume your WAN link is 50Mbps, then using the Raspberry Pi as WAN Optimization device will actually increase the latency (i.e slows the WAN link). But in all the cases the bandwidth savings should be the same irrespective of the WAN link speed. In other words, if you want to cut down the WAN link costs via this WAN Optimization set up, you can always get it since it reduces the overall bandwidth in almost all the cases (including encrypted and pre-compressed data).

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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