January 30, 2013
PALO ALTO, Calif., Jan. 30 – Hortonworks, a leading contributor to Apache Hadoop, today announced that the Hortonworks Data Platform (HDP), the industry’s only enterprise-ready, 100-percent open source platform powered by Apache Hadoop, has achieved certification for Rackspace Private Cloud. As a part of The Rackspace Open Cloud platform, the company launched the Rackspace Private Cloud Software in August 2012, with thousands of organizations in over 125 countries spanning all continents downloading the product. HDP is the only Apache Hadoop distribution to have received this certification. Combining the power of enterprise-class Apache Hadoop in HDP with Rackspace Private Cloud, organizations now have a secure, scalable environment to refine, explore and enrich their data using Hadoop.
With HDP, data can be processed from applications that are hosted on Rackspace Private Cloud environments, allowing organizations to quickly and easily obtain additional business insights from this information. The provisioning, monitoring and management components of HDP are important enablers for the integration with the Rackspace Private Cloud, providing an easy path for getting data into and out of the cloud.
“The Hortonworks Data Platform powered by Apache Hadoop assessed and certified for Rackspace Private Cloud, enables enterprise organizations to test the open source big data platform’s compatibility with OpenStack-powered private clouds,” said Paul Rad, vice president, Private Cloud, Rackspace. “As a consistent, supportable and proven platform, Rackspace Private Cloud is now enabling Hortonworks Data Platform customers to quickly and easily access and analyze data from across their private cloud-powered deployments in Apache Hadoop.”
After a detailed testing and validation process, Hortonworks Data Platform is now certified for building private clouds based on Rackspace Private Cloud Software v2.0. HDP qualifies for the Rackspace Private Cloud Open Reference Architecture “Mass Compute with External Storage”, signifying that it has met specific integration and interoperability standards and works effectively with Rackspace Private Cloud Software.
“The Hortonworks Data Platform is emerging as the de facto Apache Hadoop distribution for cloud providers, and the certification for Rackspace Private Cloud is another significant step in the enterprise viability of Hadoop,” said Herb Cunitz, president, Hortonworks. “Our commitment to the 100-percent open source model ensures that cloud providers will avoid any vendor lock-in when deploying HDP and Rackspace Private Cloud, and further extends the Apache Hadoop ecosystem to the private cloud, providing another method for exploring and enriching enterprise data with Hadoop.”
Hortonworks is a leading commercial vendor of Apache Hadoop, the preeminent open source platform for storing, managing and analyzing big data. Our distribution, Hortonworks Data Platform powered by Apache Hadoop, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big data solutions. Hortonworks is the trusted source for information on Hadoop, and together with the Apache community, Hortonworks is making Hadoop more robust and easier to install, manage and use. Hortonworks provides unmatched technical support, training and certification programs for enterprises, systems integrators and technology vendors.
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.
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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.