December 04, 2006
Invirtus Inc. announced the beta availability of a new product: Enterprise VM Converter, an enterprise-class platform conversion application that transforms physical machines into virtual machines.
Invirtus VM Converter allows users to convert any number of Windows host operating systems running on a physical machine(s) into a guest operating system on a virtual machine(s). Users can convert host operating systems one-by-one or simultaneously by scheduling automated batches without requiring a user to be present at the machine being converted, and there are never any reboots. In addition, VM Converter does not require any software to be installed on the machine being converted. IT professionals interested in becoming Beta testers should sign up at www.invirtus.com.
VM Converter Beta provides the following features:
- VM Optimizer is designed to work with vmdk files from all versions of VMware Workstation, VMware Server, VMware ACE, VMware GSX Server, VMware ESX Server.
- VM Optimizer is also designed to work with vhd files from Microsoft Virtual PC 2004, Microsoft Virtual PC 2007, and Microsoft Virtual Server 2005.
"IT managers who need a cost-effective, simple but powerful way to migrate physical systems into virtual machines will find that Invirtus is a valuable part of any Enterprise migration strategy!" said Tom Edwards, Invirtus CEO. "By using VM Maker and VM Optimizer, our customers can maximize their return on investment with virtualization."
VM Maker is the first in a series of additional virtualization tools that Invirtus will offer during Q1 2007. When used in conjunction with Invirtus VM Optimizer 2.5, the combined products provide ease of conversion and the creation of smaller, faster VMs, according to the company.
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.
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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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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.