December 10, 2007
ATLANTA, Dec. 3 -- Racemi Inc. announced today support
for Solaris Dynamic Tracing (DTrace), an advanced tracing tool in
the Solaris 10 Operating System (OS), allowing IT personnel to
define coherent and accurate policies based on a far broader set of
instrumentation than is available in any other operating system.
Enterprises seeking scalable application performance have
traditionally deployed dedicated servers with CPU and memory capacities
exceeding expected peak demands. With server infrastructures often
drastically underutilized, IT organizations are consolidating them to
reduce costs, making server mobility one of the more promising areas
within the virtualization space.
Racemi's DynaCenter is a server mobility solution that allows IT
organizations to repurpose servers in minutes. DynaCenter allows IT
organizations to capture and modify server images and store them in a
NAS or SAN-based image repository. DynaCenter's policy engine then
leverages user-defined rules to decide where and when server
repurposing is necessary to meet application processing demand. As
demand increases, an application can be booted onto a larger server. If
deployed in an environment utilizing server farms, additional servers
can be quickly deployed to meet rising demands. DynaCenter provides IT
organizations with cost effective solutions for initiatives such as disaster recovery, datacenter consolidation and rapid recovery.
The Solaris Dynamic Tracing framework provides a comprehensive view
of the operating system and application behavior with an unprecedented
level of detail giving access to over 30,000 probes built into the OS
kernel. DTrace provides insight to the server's applications, operating
system and infrastructure that expedites troubleshooting, monitoring
and performance tuning. Solaris Dynamic Tracing is safe to use on
development, test, and production systems and makes it very easy to
monitor valuable execution parameters that are specific to enterprise
applications' operating environment and connect the application
behavior to the underlining infrastructure. When used in support of
scalable performance requirements, DTrace helps enhance the ability to
react efficiently when an application requires additional processing
"The combination of DynaCenter and DTrace allows IT personnel to
define coherent and accurate policies using a far broader set of
instrumentation than is available in any other operating system, thanks
to the visibility DTrace gives of the overall infrastructure and
application behavior," said Richard Stansbury, CEO of Racemi. "In short,
we deliver on-demand server scalability through more sophisticated
policies based on far deeper levels of application and OS
instrumentation delivered by DTrace. As a result IT organizations gain
a truly cost effective means of providing scalable processing power in
support of critical business applications based on highly sophisticated
"Sun puts a lot of effort and resources into creating the best
instrumented and manageable platform available to customers today,"
said Amir Raz, market segment manager at Sun Microsystems. "We expect
the combination of Solaris manageability and Racemi's DynaCenter
capabilities to enable datacenter managers and application owners to
maximize their investment in infrastructure."
Racemi provides certainty to enterprises seeking to optimize datacenter operations by maximizing the utilization, reliability, agility and cost-effectiveness of their IT assets. DynaCenter, the company's flagship systems management software solution, is ideal for alternative use of idle disaster recovery assets, datacenter relocations, lab and test environments, managed hosting and utility computing. For more information, visit www.racemi.com.
Source: Racemi Inc.
Researchers from the Suddhananda Engineering and Research Centre in Bhubaneswar, India developed a job scheduling system, which they call Service Level Agreement (SLA) scheduling, that is meant to achieve acceptable methods of resource provisioning similar to that of potential in-house systems. They combined that with an on-demand resource provisioner to ensure utilization optimization of virtual machines.
Experimental scientific HPC applications are continually being moved to the cloud, as covered here in several capacities over the last couple of weeks. Included in that rundown, Co-founder and CEO of CloudSigma Robert Jenkins penned an article for HPC in the Cloud where he discussed the emergence of cloud technologies to supplement research capabilities of big scientific initiatives like CERN and ESA (the European Space Agency)...
When considering moving excess or experimental HPC applications to a cloud environment, there will always be obstacles. Were that not the case, the cost effectiveness of cloud-based HPC would rule the high performance landscape. Jonathan Stewart Ward and Adam Barker of the University of St. Andrews produced an intriguing report on the state of cloud computing, paying a significant amount of attention to the problems facing cloud computing.
Jun 19, 2013 |
Ruan Pethiyagoda, Cameron Boehmer, John S. Dvorak, and Tim Sze, trained at San Francisco’s Hack Reactor, an institute designed for intense fast paced learning of programming, put together a program based on the N-Queens algorithm designed by the University of Cambridge’s Martin Richards, and modified it to run in parallel across multiple machines.
Jun 17, 2013 |
With that in mind, Datapipe hopes to establish themselves as a green-savvy HPC cloud provider with their recently announced Stratosphere platform. Datapipe markets Stratosphere as a green HPC cloud service and in doing so partnering with Verne Global and their Icelandic datacenter, which is known for its propensity in green computing.
Jun 12, 2013 |
Cloud computing is gaining ground in utilization by mid-sized institutions who are looking to expand their experimental high performance computing resources. As such, IBM released what they call Redbooks, in part to assist institutions’ movement of high performance computing applications to the cloud.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.