I would ammend your definition with the following requirement.  In a grid,
there is no single point of control over the the resources on the Grid.  In
other words, you use the resources, but have no control over their policies.
This really is why a cluster is not a Grid and not every distributed
computing environment is a Grid.

A highly desirable feature of an effective grid is interoperability.  You
want a common infrastructure that spans architectures.   As much as i'd like
people to always use IA based systems, for example, if a Grid is going to be
sucessful, it must encompass Sun, IBM pSeries, and other architectures.

--Tim

-----Original Message-----
From: Joe Greenseid [mailto:[EMAIL PROTECTED]]
Sent: Wednesday, February 05, 2003 7:05 AM
To: VINOD
Cc: [EMAIL PROTECTED]
Subject: Re: [Oscar-users] Beowulf Vs Grid Computing


Hi Vinod,

Well, as my current job is in this "Grid Computing" field I guess I should
hazard a guess.  :)

I think the best explanation of Grid computing I can come up with is the
sharing of resources in a large, distributed environment.  A lot of times,
this may be across physical locations -- this part is the key --
basically, and simply, you could think of a grid as a cluster of clusters,
with all of the "middleware" that is needed to cross networks, physical
locations, different security and authentication methods, and so on. 

I personally would not consider a cluster to be able to exist with 2 sets
of nodes, one in, say New York, and the other in California.  Things like
high speed interconnects and such are key for clusters these days -- speed
is everything, and there's no grid software substitute for having 2 boxes
being plugged into the same myrinet switch.  :)

Anyway, I hope this was somewhat helpful...

--Joe

---
Joe Greenseid

[EMAIL PROTECTED]  |  http://lcic.org
[EMAIL PROTECTED]       |  http://www.ncsa.uiuc.edu/~jgreen



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