December 04, 2006
CA has announced Unicenter Advanced
Systems Management (Unicenter ASM) r11.1, a platform-agnostic solution
that provides centralized management for virtualized and clustered
server environments -- enabling customers to continuously assess,
manage and optimize system resources to ensure service availability and
Unicenter ASM automatically balances workloads in complex environments that include clusters and virtualized platforms. Through pre-defined business policies, it performs centralized dynamic resource brokering across virtualized server resources. If the performance of a mission-critical application begins to degrade and additional memory or CPU capacity is required, Unicenter ASM can automatically reallocate available resources to that application. Unicenter ASM can also make resources available by moving the least critical application on the virtual machines to a different server. If and when the demands of the mission-critical application diminish, Unicenter ASM will then automatically reallocate resources to other applications as necessary.
Unicenter ASM is a keystone product of CA's Virtual Platform Management solution, which helps organizations simplify the management of their physical, virtual and clustered server environments. It supports CA's EITM vision by unifying and simplifying the management of multi-vendor, heterogeneous virtual platform environments, and by improving service while reducing cost.
"Virtualization is enabling us to achieve great efficiency in our data center, but it has added a new level of complexity," said Andreas Becker, systems engineer, VHV Group, one of Germany's largest insurance firms. "CA's Unicenter ASM has enabled us to successfully cope with that complexity -- while also giving us the freedom to embrace whichever vendor's virtualization or clustering platform offers us the best value."
Unicenter ASM is compatible wide range of virtualization technology -- including HP MC Service Guard, IBM HACMP and pSeries LPAR-capable eServers (P4 and P5), Microsoft Virtual Server and Cluster, Red Hat Advanced Server cluster, Sun Enterprise and Mid-Range servers, as well as Sun Cluster and Sun Fire, Veritas Cluster Servers running Solaris and Windows, and VMware ESX/GSX Servers.
"As data center virtualization grows, enterprises will wind up with virtual environments that incorporate technology from multiple vendors," said Andi Mann, senior research analyst at Enterprise Management Associates. "A truly vendor-neutral solution like Unicenter ASM will therefore become essential for keeping data center operations running smoothly."
Unicenter ASM automatically discovers virtual and clustered resources and creates intuitive visual "maps" of those resources. By enabling managers to define role-based control of these resources, it also enables organizations to streamline workflow and direct routine remedial functions to lower-cost staff, while limiting access to sensitive administrative functions required to maintain compliance.
In addition, by documenting how much capacity is available within a virtualized server environment, Unicenter ASM helps organizations make more informed capital expenditure decisions.
Additional features of Unicenter ASM include:
ASM shares information about virtual/clustered resources with CA and
third-party management solutions, providing IT organizations with a
"single version of the truth." It works with Unicenter NSM (Network and
Systems Management) to provide a common user interface for all
Unicenter components, greatly simplifying root-cause analysis and
accelerating mean- time-to-repair (MTTR).
"To get the most out of their virtualized environments, IT organizations must apply consistent management to both their virtual and physical resources," said John Kane, senior vice president and product line manager at CA. "By intelligently automating these management tasks across hardware and software platforms, CA is uniquely able to help customers fulfill this critical data center requirement."
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.