November 21, 2005
Ohio Savings Bank's mortgage system -- which
processes hundreds of millions of dollars of transactions daily --
relies on an integrated Oracle Database 10g and Microsoft .NET
Founded in 1889, Ohio Savings Bank has grown from a savings and loan
with a single branch office in Cleveland and $20,000 in assets to one
of the nation's largest mortgage lenders. In 2004, the bank adopted an
Oracle Database 10g Grid computing infrastructure to improve its
information technology (IT) utilization and deliver a higher quality of
service. Ohio Savings Bank's Grid supports a number of mission-critical
systems including the heart and soul of its business -- a mortgage
wholesale and retail application transaction processing system.
Comprised of an Oracle Database and Microsoft middle-tier applications,
the bank's transaction heavy mortgage system manages the lifecycle of
loans from origination to funding. It is used by internal branches,
loan processing offices, and brokers that originate loans across
country and sell the loans to Ohio Savings Bank.
A three-node cluster using Oracle Real Application Clusters on
two-way HP ProLiant DL 380 servers with Intel Xeon processors running
Red Hat Enterprise Linux v. 3 powers Ohio Savings Bank's mortgage
system. This clustered Oracle Database is fully integrated with
Microsoft Visual Studio .NET 2003 applications running on Windows.
A key component in the bank's integration of Oracle and Microsoft
environments is their use of Oracle Data Provider for .NET (ODP.NET), a
driver that delivers optimized data access to Oracle Database
functionality from a .NET environment. ODP.NET enables developers to
take advantage of advanced Oracle Database features, including Oracle
Real Application Clusters, Oracle XML DB, and advanced security
functionality, among many others. It enables the bank to easily and
flexibly use XML throughout its applications and interface and with
Oracle Database. ODP.NET can be used from any .NET language, including
C# and Visual Basic .NET.
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.