Recently
there has been a progress in data technology such as commodity
processing components, hierarchical memory architectures, multicore,
increased density, quick communications, Virtualization and other
middleware software and tools, and new paradigms such as grid and
cloud computing. This has the scope to allow the techniques and tools
of High Performing Computing (HPC) clusters to attain a wider
acceptable in various domains of industry and research than before.
On the other hand quick changes are happening are also resulting in
new challenges in the technological areas that need to be addressed
to facilitate wider deployment and acceptance of the new paradigms
and technologies.
An
essential aspect in this regards is resource scheduling in difficult
distributed systems such as High Performance Computing clusters,
clouds and grids. Over the last two decades the schedulers have set
up in a way to primarily optimize packing of jobs as a medium to
enhance scheduling metrics. These packaging based mechanisms are
“context aware” i.e. taking into consideration the user
interaction. Context aware scheduling, such as user aware scheduling
brings forth new means of research taking into account context,
admission control, resource management, pricing strategy and so on.
Furthermore,
the development of new raw materials and production procedures,
depending on high-technologies needs a solution of increasingly
complex computing problems. Even as a data storage
server,
Network
Server
computer power and the communication speed continues to enhance
exponentially, the accessible computing resources most often fail to
keep up with what the end users demand. As a result high
performance computing clusters
have become an important resource for development and research and
business applications. Conventionally HPC applications got oriented
on the use of high-end computer systems that is the so called
“supercomputers” Prior to considering the rapid progress in this
field, the focus needs to be given to the classification that is
present in computer infrastructures.
Today
service providers of unified storage
solution
have introduced innovative built-to-order HPC clusters that can
assist end users in having speed access to data, minimize risk and
manage the growth smoothly. By its design, a wide of range of
application platform will benefit, comprising those optimized for
industrial design and manufacturing, life sciences, financial
services, government and education. Regardless of whether your work
requires huge complex clusters or a cluster in your office, the
service providers will assist you to establish a well integrated and
dynamic HPC cluster that is simple to implement and monitor.
The
modern day service providers of HPC clusters have alliances with
multiple hardware providers. HPC middleware and GPU technologies.
Thus when merged with integrated services and assistance helps the
consumers to attain benefit from the single point-of-contact for the
total cluster solution and minimizes the risk capacity for the entire
business.
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