November 20, 2006
Unisys Corporation has announced the Unisys SOA Vision suite, a set of payment processing products comprising web services that, according to the company, enable clients to build, maintain and capitalize on the benefits of service-oriented architecture (SOA) in a distributed environment.
SOA Vision, implemented with web services, is designed to enable clients to incorporate new products and services within their enterprise faster while reducing IT complexity and overall cost of maintenance.
"Our strategy is to initially deploy SOA Vision for our distributed capture line. Because the Web Device and Web Perfect Image Suites are based upon service-oriented architectures, the door is open to expand our offerings into other non-payment-specific products," says Gary Wallen, vice president and general manager, Unisys Payment Systems.
The Unisys SOA Vision suite is designed to offer the following advantages over traditional approaches to distributed computing:
Unisys says its SOA Vision Suite provides "building blocks" within an SOA environment. The SOA Vision suite comprises two primary modules -- collections of integrated web services that enable operating system interdependency and help ensure suitability of images for electronic exchange:
Web Perfect Image Suite aims to simplify the management of Unisys Image Quality, Security, Usability and Recognition products, streamlining secure image analysis and providing near-perfect images prior to presentment.
Web Device Suite manages distributed capture devices, such as the Unisys SourceNDP, MyVision X, and UEC Series payment processing systems with a single interface driving those devices, with the intention of reducing implementation time and associated costs. Web Device Suite is designed to respond to client demands for centrally managed networks and address client requirements for thin client solutions. Also, Web Device Suite offers the PerfectMICR capability, which yields near-perfect MICR read rates up to 99.7 percent, according to the company.
Unisys has deployed more than 20,000 SourceNDP worldwide, with 13,500 in Europe. Athic, a European service company responsible for the implementation of thousands of SourceNDP with very large banks, believes web services will accelerate the development of thin client solutions. "We feel the Unisys web service suite will further enhance our distributed capture solutions and optimize seamless integration into thin client networks," says Jacques Bourget, Athic General Manager.
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.
Jun 06, 2013 |
The San Diego Supercomputer Center launched a public cloud system for universities in the area designed specifically to run on commodity hardware with high performance solid-state drives. The center, which currently holds 5.5 PB of raw storage, is open to educational and research users in the University of California.
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.