November 15, 2004
Oracle notified its customers that it has implemented a new security patch process, based on quarterly Critical Patch Updates. The service will begin in 2005.
The comprehensive set of well-integrated patches will more efficiently address security vulnerabilities for Oracle and may include patches for Oracle Application Server, Oracle Database, Oracle E-Business Suite, Oracle Enterprise Manager and Oracle Collaboration Suite. The updates are scheduled to be issued to customers simultaneously via MetaLink, Oracle's support Web site, next year on Jan. 18, April 12, July 12 and Oct. 18.
"Organizations prefer regular, planned schedules for patching their information technology systems," said Mary Ann Davidson, chief security officer of Oracle Corp. "After surveying customers across a variety of industries it became evident that a quarterly process would best meet our customers' needs. The quarterly schedule strikes a balance between issuing patches often enough to protect customers from serious vulnerabilities while making it easier for customers to manage the maintenance process."
The move to a quarterly schedule allows Oracle to satisfy customer demand while delivering three key benefits. Under the new program, organizations can plan configuration management rather than reacting to unscheduled "surprise" patch alerts. The fixed schedule also is designed to avoid common blackout dates, the time when customers will not update their systems. For example, many organizations are not allowed to update systems at the end of the quarter when they are closing their books. And, Critical Patch Updates help lower the cost of applying patches by delivering a single, well-integrated and well-tested patch that fixes multiple, high-priority vulnerabilities.
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 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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.