May 28, 2007
SANTA CLARA, Calif., May 21 -- Salesforce.com, the market and technology leader in on-demand business services, today announced Salesforce SOA, taking service-oriented architectures on demand for the first time. Salesforce SOA will deliver SOA as a service, heralding the end of complex and expensive software-based SOA solutions for intelligent Web services integration. Salesforce SOA is a powerful new capability of the Apex programming language that will allow developers to focus on innovation, not infrastructure, while building a new class of on-demand applications. Salesforce SOA was unveiled and demonstrated at the Salesforce Developer Conference.
"The journey to SOA shouldn't be slowed by the baggage of legacy software," said Marc Benioff, chairman and CEO of salesforce.com. "In 1999, salesforce.com enabled customer CRM success with our award-winning Salesforce applications delivered on-demand via the Internet. Salesforce SOA will radically accelerate the kinds of applications that are available on demand by continuing to remove the barriers of software infrastructure that have been imposed by SAP, Oracle and Microsoft."
"The new Salesforce SOA capabilities in Apex will streamline the development required to create new kinds of enterprise applications," said Glenn Wilson, co-founder and CEO of CRMFusion. "With Apex, we were able to prototype a new version of our on-demand application in less than three weeks. Our new Apex-built applications will further enhance the success we've achieved with salesforce.com and our more than 750 customers on the AppExchange to date."
"Many companies have invested considerable time and expense chasing the promise of software-based SOA," said David Linthicum, CEO of Linthicum Group LLC., a noted SOA author. "Salesforce SOA will marry SaaS and SOA to make possible new kinds of business processes and applications. Developers, IT departments and CIOs will be able to harness business logic spanning multiple applications to mashup and create thousands of new applications."
Salesforce SOA: Enabling SaaS and SOA
Software-based SOA has required deploying and maintaining costly software and infrastructure, spurring lengthy, high-risk implementations that generate mixed results. Salesforce SOA will enable SOA as a service, run on salesforce.com's on-demand platform, removing the cost and complexity associated with deploying and managing infrastructure.
Salesforce SOA will provide the ability to mashup salesforce.com's multi-tenant on-demand service with enterprise workflow and business processes to enable new kinds of enterprise applications on demand. As a new capability of the Apex programming language, Salesforce SOA will enable SOA-based business processes, such as enterprise applications, to be created, maintained and leveraged on demand. SOA business processes will become virtual and sharable, and benefit from the scalability and agility of the on-demand model. With Salesforce SOA, developers will be able to:
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.