January 29, 2013
MADRID, Jan. 29 – Continuing its strong commitment to open-source and to the OpenNebula community, the OpenNebula Project is pleased to announce the open-source release of OpenNebulaApps, a suite of tools for users and administrators of OpenNebula clouds to simplify and optimize multi-tiered application management. The new software has been released under Apache license and will be incorporated into the main distribution of OpenNebula. After the announcement made two weeks ago about the public distribution of OpenNebula Maintenance Updates and Service Packs, the incorporation of this innovative functionality consolidates OpenNebula's position as the most advanced, enterprise-ready open-source cloud management platform.
OpenNebulaApps provides a service management layer on top of OpenNebula infrastructure management capabilities by configuring the stack in the virtual machines, managing multi-tiered services, and building a private market to distribute appliances across several OpenNebula instances. Because Cloud applications consist of stacks of software components, OpenNebulaApps contributes to significantly reduce the time needed to build, distribute, and run new applications. The suite includes:
This new enterprise functionality, along with the existing production-ready processes for software release, Q&A and upgrade, and the availability of several support options directly from developers, reduces cost and complexity of building and operating OpenNebula clouds and ensures its long term stability and performance.
OpenNebula delivers the most feature-rich, customizable and open solution to build enterprise clouds and virtualized data centers. OpenNebula is an active project with a very large user base, with more than 5,000 downloads per month and thousands of deployments that include leading research and supercomputing centers like CERN, FermiLab, NASA, ESA and SARA; and industry leaders like RIM, China Mobile, Dell, Cisco, Akamai and Telefonica O2. All company and product names mentioned are used only for identification purposes and may be trademarks or registered trademarks of their respective companies.
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.
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.