C-Sharifi Cluster Engine: The Second Success Story on "Kernel-Level
Paradigm" for Distributed Computing Support
Contrary to two school of thoughts in providing system software support for
distributed computation that advocate either the development of a whole new
distributed operating system (like Mach), or the development of
library-based or patch-based middleware on top of existing operating systems
(like MPI, Kerrighed and Mosix), <mailto:[EMAIL PROTECTED]> Dr. Mohsen
Sharifi hypothesized another school of thought as his thesis in 1986 that
believes all distributed systems software requirements and supports can be
and must be built at the Kernel Level of existing operating systems;
requirements like Ease of Programming, Simplicity, Efficiency,
Accessibility, etc which may be coined as Usability. Although the latter
belief was hard to realize, a sample byproduct called DIPC was built purely
based on this thesis and openly announced to the Linux community worldwide
in 1993. This was admired for being able to provide necessary supports for
distributed communication at the Kernel Level of Linux for the first time in
the world, and for providing Ease of Programming as a consequence of being
realized at the Kernel Level. However, it was criticized at the same time as
being inefficient. This did not force the school to trade Ease of
Programming for Efficiency but instead tried hard to achieve efficiency,
alongside ease of programming and simplicity, without defecting the school
that advocates the provision of all needs at the kernel level. The result of
this effort is now manifested in the C-Sharifi Cluster Engine.
C-Sharifi is a cost effective distributed system software engine in support
of high performance computing by clusters of off-the-shelf computers. It is
wholly implemented in Kernel, and as a consequence of following this school,
it has Ease of Programming, Ease of Clustering, Simplicity, and it can be
configured to fit as best as possible to the efficiency requirements of
applications that need high performance. It supports both distributed
shared memory and message passing styles, it is built in Linux, and its
cost/performance ratio in some scientific applications (like meteorology and
cryptanalysis) has shown to be far better than non-kernel-based solutions
and engines (like MPI, Kerrighed and Mosix).
Best Regard
~Ehsan Mousavi
C-Sharifi Development Team
<http://1144762.sigclick.mailinfo.com/sigclick/08020105/0007034D/0D074903/19
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