November 27, 2006
Unisys Corporation has announced new
models of its ES7000/one Enterprise Server line employing the Dual-Core
Intel Xeon Processor 7100 Series -- codenamed "Tulsa." According to the
company, the new ES7000/one platform delivers a 48 percent improvement
in total cost of ownership (TCO) while improving service quality in a
virtualized computing environment, where multiple operating
environments and applications run simultaneously in multiple partitions
on a single server system.
Priced up to 35 percent lower than previous comparable ES7000/one models, the new systems capitalize on their virtualization capabilities to optimize application performance, resource utilization and power consumption, demonstrating advantages over complex, multi-system "scale-out-only" server deployments.
Unisys reports its ES7000/one models are ideal for deployment in a real-time infrastructure driven by enterprise business policies that directly and dynamically enable strategic business processes. Real-time infrastructure helps enterprises visualize, use and optimize IT assets while balancing the need for better quality, security, and predictability. This allows Unisys customers to allocate computing resources in real-time to meet continually evolving strategic business requirements.
Unisys says its tests proved that the ES7000/one enterprise server using 16 Dual-Core Intel Xeon Processor 7100 Series processors running VMware Infrastructure 3.0.1 can handle 2.7 times more virtual machines per processor than a four-socket commodity system. That translates into a 48 percent TCO improvement, with savings in hardware and software acquisition costs; data center operations including power, cooling, floor space and management; and connectivity to network and storage infrastructures.
The Unisys testing further shows that the ES7000/one is an efficient VMware Infrastructure host. Configured with the maximum processors and memory allowed by VMware Infrastructure, the Unisys system can handle peaks from variable workloads more efficiently than an aggregate of multiple, smaller 4-processor configurations typically used in VMware Infrastructure deployments.
"Before organizations adopt virtualization for their core applications and mission-critical workloads, their underlying server platform must be up to the challenge," said Colin Lacey, vice president and general manager, Enterprise Server Group, Unisys. "The new ES7000/one models meet that challenge and more, drawing on Unisys expertise in enterprise-class computing to deliver power and scalability for their most stringent workloads with quantifiable and dramatic economic advantages."
The new ES7000/one models represent entry-level, mid-range and high-end systems based on the Dual-Core Intel Xeon Processors 7110M, 7120M and 7140M, respectively. The systems are available immediately.
The new models represent another step in Unisys development of its next-generation server architecture, announced in June 2006 and designed to take advantage of scale up virtualization. Intended as a common platform for all Unisys enterprise servers, including the ES7000/one and the ClearPath mainframe family, Unisys next-generation server architecture will be capable of running Microsoft Windows, Linux and Unisys OS 2200 and MCP simultaneously with application workload sharing.
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.