August 26, 2010
ALISO VIEJO, Calif., August 26, 2010 -- Quest Software, Inc. (Nasdaq: QSFT) today announced the release of Quest Cloud Automation Platform 7.5, its next generation of enterprise-class cloud automation and management technology. Originally developed by recently acquired Surgient, Quest Cloud Automation Platform enables IT to maximize the utilization of cloud infrastructure, fully automate the delivery of complex IT services, and automatically reclaim unused infrastructure, driving down IT costs and delivering unmatched productivity gains across the enterprise. The Surgient acquisition is part of Quest’s greater virtualization and cloud strategy, which will be formally unveiled Aug. 31 at an invitation-only event for media and analysts during VMworld.
"The Quest platform (formerly Surgient) is designed to work alongside a customer's in-place helpdesk system, IT service catalog, CMDB, runbook automation framework, and so on. It assumes the presence of virtual infrastructure from VMware or Microsoft, and plays nicely with physical provisioning and automation from the likes of HP and Symantec,” said Rachel Chalmers, research director of infrastructure management at The 451 Group. “What it adds to these is a self-service portal backed by automated service delivery and recovery, just-in-time self-service and scalable, user-centric services. In practice, this means that IT operators can configure resources and policies, users can request services as needed, and [the platform] manages the provisioning, use and recovery of the underlying resources. Presto—private cloud."
Among the new features in Quest Cloud Automation Platform 7.5:
* Instant Cloud Insight with the Cloud Management Dashboard - graphical view of pooled infrastructure enables cloud administrators to easily manage live services and capacity
* Self-Service-enabled VM Migration - new graphical interface enables administrators to safely manage migration recommendations from performance management tools (i.e. VMware vMotion, DRS, DPM) while maintaining the integrity of a true self-service cloud
* In-Depth Reporting with Chargeback Support – fully redesigned reporting solution supports multiple chargeback methodologies and provides comprehensive data for inclusion in third-party business intelligence tools
* Enterprise Deployment Modes – New persistent and debug deployment modes enable long-running deployments and ease the development of new IT services
“With its robust, scalable infrastructure management and service delivery capabilities, Quest Cloud Automation Platform 7.5 enables IT to dramatically impact capital and operating expenses in the data center while driving unmatched business agility,” said Steve Stover, senior director of product management, Quest Virtualization Management. “Combined with Quest’s virtualization management portfolio, Quest Cloud Automation Platform is a truly comprehensive, enterprise-class solution for deploying and automating IaaS private clouds.”
Quest Cloud Automation Platform will become generally available after Sept. 30. It will be demonstrated in Quest booth 1113 at VMworld 2010, Aug. 30 – Sept. 2, at the Moscone Center in San Francisco.
Also available is Quest Cloud Express, the industry-unique package bundling Quest Cloud Automation Platform licensed for 30 managed CPUs with all the professional services, documentation, and support needed to go live with a private cloud in less than 30 days. Visit www.quest.com/cloudexpress for more information.
About Quest Software, Inc.
Now more than ever, organizations need to work smart and improve efficiency. Quest Software creates and supports smart systems management products—helping our customers solve everyday IT challenges faster and easier. Our innovative solutions for application monitoring, database management, Windows management and virtualization management help customers achieve better results, faster. Visit http://www.quest.com/ for more information.
Source: Quest Software, Inc.
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.