November 21, 2005
- Virtualization Support -- enables on-demand resource allocation across Linux, UNIX, and Windows platforms through support for virtualized, clustered and Grid environments.
- Common and Continuous Discovery -- maintains an up-to-the-minute catalog of IT assets and easily brings new systems under management by adding them to a management database (MDB) for enhanced control and security.
- Adaptive Configuration -- automatically determines a roving baseline for thresholds for critical components, generating alerts only when conditions deviate from normal behavior.
- Advanced Event Correlation -- dramatically improved performance of the analytics facilitates analysis of network, system, application, database, security and storage event information to isolate root causes from multiple related events.
- Policy-based Notification -- creates alerts, using intelligent event filtering, that escalate only critical issues for IT management's attention and action. Simplifies and automates notification, sending alerts via IM, pager, text messaging, phone, email or wireless device.
- Service Aware -- embedded self-management capabilities enable proactive and automated trouble ticket processing with Unicenter Service Desk and help desks from third parties.
- Management Databases -- leverages the MDB in CA's Integration Platform to maintain IT asset status information gathered from CA and third party products. Associates assets with the business services they support, enabling the correlation of heterogeneous and cross-stack infrastructure events to determine business impact as well as the optimization of repair efforts.
- Command Center -- delivers a unified, correlated, and prioritized view of events from networks, systems, applications, databases, security and storage. Provides a single, customizable console with advanced visualization so that relevant information is shown in context and non-critical information is filtered out.
- Improved Third-Party Integration -- through CA's Integration Platform, enables customers and partners to leverage their existing investments by simplifying and accelerating integration with third-party management tools.
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)...
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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.
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Cloud computing has become mainstream in today’s HPC world. In order to enable the HPC researchers who currently work with large distributed computing systems, to bring their expertise to cloud computing, it is essential to provide them with easier means of applying their knowledge.
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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.
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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.
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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.
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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.