February 13, 2012
Free tool lets enterprises and service providers simply and easily utility meter any VMware-based virtualization environment
LAS VEGAS, Feb. 13 — 6fusion, a provider of utility-metered public, private and hybrid cloud infrastructure management software and services, today announced it will be previewing its free 6fusion Cloud Resource Meter for VMware vSphere at the VMware Partner Exchange (booth #504) and Santa Clara Cloud Connect (booth #910).
Understanding how many computing resources are being used (and by whom) is essential in infrastructure planning, upgrade planning and cost allocation or chargeback. 6fusion's patent pending metering algorithm, the Workload Allocation Cube (WAC), normalizes the way cloud infrastructure is metered both for suppliers and consumers. The UC6 web based console federates private data center and third party cloud operators, providing a single console to allow IT organizations of all types to access, meter, manage and optimize hybrid cloud infrastructures.
The Cloud Resource Meter will be available for download on the VMware Solution Exchange and 6fusion's web site upon final release. To pre-register for the tool, visit http://bit.ly/yhE8xP.
Cloud Resource Meter enables enterprises to:
Key Cloud Resource Meter features and functionality:
"6fusion is directly addressing the industry's evolution toward the consumption based pricing model, which VMware CEO Paul Maritz affirmed during VMworld in Copenhagen last October," said John Abbott, chief analyst at 451 Research. "The Cloud Resource Meter seeks to answer one of the industry's biggest questions: how much does cloud computing really cost?"
"6fusion's vision is to create the first truly global utility for cloud computing," said John Cowan, 6fusion co-founder and CEO. "Our new Cloud Meter for VMware vSphere makes it possible for enterprise customers to easily understand and compare the cost of running workloads internally or in the cloud regardless of country or region of the world."
To pre-register to download the Cloud Resource Meter, visit http://bit.ly/yhE8xP.
6fusion provides an end-to-end cloud management platform that enables global workload distribution by turning the public and private cloud into a pay-per-use billable utility. The unique metering algorithm, Workload Allocation Cube (WAC), creates a commercial standard to quantify supply and demand for compute resources. For IT service providers, enterprises and independent software vendors, and Infrastructure Owners/Operators, 6fusion simplifies and streamlines Infrastructure-as-a-Service (IaaS) via a single console that provides valuable insight into consumption, performance benchmarking and cost allocation without vendor lock-in.
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.
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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.
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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.