Distributed And Parallel Computing: 6th International Conference On Algorithms And Architectures For Parallel Processing, Ica3pp, Melbourne, ... Computer Science And General Issues)
by Michael Hobbs /
2005 / English / PDF
11.7 MB Download
There are many applications that require parallel and distributed
processing to allow complicated engineering, business and research
problems to be solved in a reasonable time. Parallel and
distributed processing is able to improve company profit, lower
costs of design, production, and deployment of new technologies,
and create better business environments. The major lesson learned
by car and aircraft engineers, drug manufacturers, genome
researchers and other specialist is that a computer system is a
very powerful tool that is able to help them solving even more
complicated problems. That has led computing specialists to new
computer system architecture and exploiting parallel computers,
clusters of clusters, and distributed systems in the form of grids.
There are also institutions that do not have so complicated
problems but would like to improve profit, lower costs of design
and production by using parallel and distributed processing on
clusters. In general to achieve these goals, parallel and
distributed processing must become the computing mainstream. This
implies a need for new architectures of parallel and distributed
systems, new system management facilities, and new application
algorithms. This also implies a need for better understanding of
grids and clusters, and in particular their operating systems,
scheduling algorithms, load balancing, heterogeneity, transparency,
application deployment, which is of the most critical importance
for their development and taking them by industry and business.
There are many applications that require parallel and distributed
processing to allow complicated engineering, business and research
problems to be solved in a reasonable time. Parallel and
distributed processing is able to improve company profit, lower
costs of design, production, and deployment of new technologies,
and create better business environments. The major lesson learned
by car and aircraft engineers, drug manufacturers, genome
researchers and other specialist is that a computer system is a
very powerful tool that is able to help them solving even more
complicated problems. That has led computing specialists to new
computer system architecture and exploiting parallel computers,
clusters of clusters, and distributed systems in the form of grids.
There are also institutions that do not have so complicated
problems but would like to improve profit, lower costs of design
and production by using parallel and distributed processing on
clusters. In general to achieve these goals, parallel and
distributed processing must become the computing mainstream. This
implies a need for new architectures of parallel and distributed
systems, new system management facilities, and new application
algorithms. This also implies a need for better understanding of
grids and clusters, and in particular their operating systems,
scheduling algorithms, load balancing, heterogeneity, transparency,
application deployment, which is of the most critical importance
for their development and taking them by industry and business.