December 05, 2005
Sun Microsystems Inc.
in partnership with InTechnology Plc, a data
management company headquartered in the United Kingdom, unveiled
two new services for the upcoming Sun Grid Storage Utility: Sun
Grid Remote Backup and Restore Service (RBR) and Sun Grid Remote File
Vault (RFV) for United Kingdom-based customers. Sun Grid RBR provides secure,
centralized and remote data backup, offered through usage-based
monthly billing. The complementary service, Sun Grid RFV, runs on the
Solaris 10 Operating System and enables long-term remote archiving
without a formal backup process.
Sun also announced that Virtual Compute Corp. (vCompute), a
high-performance computing service provider, has extended its agreement
to use over 2 million hours of central processing units (CPUs) on the
Sun Grid Compute Utility. In only three weeks, vCompute agreed to
purchase and subsequently used its first million CPU hours on the Sun
Grid, demonstrating the incredible efficiency and flexibility of the
Sun Grid Utility model. Sun Grid helps customers and partners derive
immediate benefits from an open, Grid-based computing infrastructure on
a utility basis by giving them more choice and control over how they
purchase and leverage IT.
The operational and financial implications of losing data can be
catastrophic to companies. Yet many organizations still trust the
backup and archival of data to a fragmented and often ineffective
policy of distributed devices and manual routines. Sun Grid RBR and Sun
Grid RFV eliminate the risks and costs of internal backup
and archival infrastructure and processes, while providing services
that will scale with a customer's unique and evolving storage needs.
Additionally, customers pay only for the services they
use, receiving monthly statements and access to a portal detailing
"This new model of storage on demand addresses the challenges of
limited budgets and dispersed data center staff -- prompting companies
in every industry to reexamine data center management," said Stuart
Wells, executive vice president utility computing at Sun Microsystems.
"We're seeing explosive demand for utility computing from major
financial institutions, oil and gas companies like vCompute, and small
to medium-sized businesses across industries -- and are working with
innovators like InTechnology to ensure we're staying ahead of the
incredible industry demand every step of the way. These new product
offerings, combined with Sun's recent acquisition of StorageTek,
underscore Sun's commitment to data management."
"We are delighted to partner with Sun on this important next step in
the Sun Grid utility computing initiative," said Peter Wilkinson, CEO
and founder of InTechnology. "Our proven expertise and delivery
infrastructure, combined with Sun's strong brand, technical excellence
and unquestionable commitment to utility computing will be a compelling
proposition to end users wrestling with the challenges of data storage,
data protection and data management."
"With Sun Grid, we've thrown open the doors to a new era of utility
computing -- and after proving to our customers that we can extend our
compute capacity with the Sun Grid, many clients have rushed in to book
time," said Edward Hawes, chief executive officer of Virtual Compute
Corp. "Our immediate need to scale from 1 million to 2
million CPU hours speaks volumes about the validity of our utility
computing model. The new Sun Grid Storage Utility that is being linked
to the Sun Grid Compute Utility empowers vCompute to provide more
robust business continuity services to our high performance computing
Sun Grid RBR provides centralized backups of desktops, laptops, file
servers and applications/database servers ending the delays, risks and
high cost of traditional tape and data replication processes. All
services are delivered via a secure telecommunications link, ensuring
data is regularly copied to a remote data center facility for immediate
restoration. Benefits to Sun Grid RBR customers include: secure, data
protection; best practice and dedicated backup process; regular
updates; and enhanced protection of business critical data.
For customers requiring long-term data archiving, Sun Grid RFV is
available as a complementary storage service to Sun Grid RBR or as a
standalone service. The service introduces a pay-per-use approach to
storing key files at a remote, secure facility, while retaining easy
access for restoration. Customers store only what they need, without
the costs of running extensive backup processes on a user's system. Sun
Grid RFV customers will enjoy: added security; best practice and
dedicated file storage service; and redundancy of data.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
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.