Comments on: In grid computing syatem ..how processor of one computer searching the another computer memory? http://cloudcomputingapps.org/in-grid-computing-syatem-how-processor-of-one-computer-searching-the-another-computer-memory.html CloudComputingApps.org & the Future of Computing Thu, 09 Sep 2010 02:23:29 +0000 hourly 1 http://wordpress.org/?v=3.0 By: chicago computer repair http://cloudcomputingapps.org/in-grid-computing-syatem-how-processor-of-one-computer-searching-the-another-computer-memory.html/comment-page-1#comment-2893 chicago computer repair Thu, 11 Mar 2010 20:29:38 +0000 #comment-2893 I had to read it twice because my mind wondered off for some reason. I think it is because of lack of sleep. I do think you for taking the time to post this. I had to read it twice because my mind wondered off for some reason. I think it is because of lack of sleep. I do think you for taking the time to post this.

]]> By: minus71 http://cloudcomputingapps.org/in-grid-computing-syatem-how-processor-of-one-computer-searching-the-another-computer-memory.html/comment-page-1#comment-2876 minus71 Wed, 10 Mar 2010 22:17:07 +0000 #comment-2876 That is the gist about grid computing ... sharing resources, and locking them properly. There are different solutions with different grid. The most simple 'grid' is multi processor system, in which resources are simply accessible in the same manner by each processor (windows and linux do that already). More complex grid use network communication to transfer data between different machines, to replicate resources present on one machine in others. Most of those system use modified OS to virtualize resources to decouple them from their hardware type (file, network stream ... ecc) and location. You can also read wiki at this URL http://en.wikipedia.org/wiki/Grid_computing or simply read the previous answer which is an excerpt. That is the gist about grid computing … sharing resources, and locking them properly.

There are different solutions with different grid.
The most simple ‘grid’ is multi processor system, in which resources are simply accessible in the same manner by each processor (windows and linux do that already).

More complex grid use network communication to transfer data between different machines, to replicate resources present on one machine in others.

Most of those system use modified OS to virtualize resources to decouple them from their hardware type (file, network stream … ecc) and location.

You can also read wiki at this URL http://en.wikipedia.org/wiki/Grid_computing or simply read the previous answer which is an excerpt.

]]> By: Robert S http://cloudcomputingapps.org/in-grid-computing-syatem-how-processor-of-one-computer-searching-the-another-computer-memory.html/comment-page-1#comment-2875 Robert S Wed, 10 Mar 2010 21:57:01 +0000 #comment-2875 Grid computing offers a model for solving massive computational problems by making use of the unused resources (CPU cycles and/or disk storage) of large numbers of disparate computers, often desktop computers, treated as a virtual cluster embedded in a distributed telecommunications infrastructure. Grid computing's focus on the ability to support computation across administrative domains sets it apart from traditional computer clusters or traditional distributed computing. This approach implies the use of secure authorization techniques to allow remote users to control computing resources. Grid computing involves sharing heterogeneous resources (based on different platforms, hardware/software architectures, and computer languages), located in different places belonging to different administrative domains over a network using open standards. In short, it involves virtualizing computing resources. Functionally, one can classify Grids into several types: Computational Grids (including CPU scavenging Grids) which focuses primarily on computationally-intensive operations. Data Grids or the controlled sharing and management of large amounts of distributed data. Equipment Grids which have a primary piece of equipment e.g. a telescope, and where the surrounding Grid is used to control the equipment remotely and to analyse the data produced. Grid computing offers a model for solving massive computational problems by making use of the unused resources (CPU cycles and/or disk storage) of large numbers of disparate computers, often desktop computers, treated as a virtual cluster embedded in a distributed telecommunications infrastructure. Grid computing’s focus on the ability to support computation across administrative domains sets it apart from traditional computer clusters or traditional distributed computing.

This approach implies the use of secure authorization techniques to allow remote users to control computing resources.

Grid computing involves sharing heterogeneous resources (based on different platforms, hardware/software architectures, and computer languages), located in different places belonging to different administrative domains over a network using open standards. In short, it involves virtualizing computing resources.

Functionally, one can classify Grids into several types:

Computational Grids (including CPU scavenging Grids) which focuses primarily on computationally-intensive operations.

Data Grids or the controlled sharing and management of large amounts of distributed data.
Equipment Grids which have a primary piece of equipment e.g. a telescope, and where the surrounding Grid is used to control the equipment remotely and to analyse the data produced.

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