November 28, 2012
CHICAGO, Ill., Nov. 28 – The Open Cloud Consortium (OCC) is pleased to announce that the Geographic Information Systems Research Center (GIS) out of Feng Chia University, Taiwan is now a member of the OCC. The Open Cloud Consortium (OCC) has been providing cloud infrastructure for researchers with big data needs since 2009. The Open Cloud Consortium (OCC) is a 501(c)(3) not-for-profit supporting the scientific community by operating cloud infrastructure to support scientific, environmental, medical, and healthcare research.
GIS Research Center at Feng Chia University will primarily be participating in two of the OCC’s working groups: Project Matsu and the PIRE program.
Project Matsu is a collaboration between NASA and the OCC to develop open source technology for cloud-based processing of satellite imagery to support the earth sciences. One of the primary goals is to assist first responders at disaster sites. More information can be found on the Project Matsu homepage.
GIS Research Center at Feng Chia University will also be a featured Foreign Partner in the PIRE program. The PIRE Program provides international research and education experiences through training and study at universities and research institutes around the world with leading scientists in the field of computing. The goal of the project is to increase the participants’ expertise in managing and analyzing data. The creation of a strong cadre of students with a global perspective on scientific data management will support research endeavors in many other areas vital to US. International Collaboration. More information on how to get involved in PIRE can be found on the PIRE homepage.
The OCC manages and operates the Open Science Data Cloud (OSDC), which is a multi-petabyte distributed cloud-based infrastructure for managing, analyzing, integrating and sharing scientific data. Over the past four years of operations, the OSDC has developed the expertise to set up and operate open source science clouds over geographically distributed data centers connected with 10G high performance networks.
The OCC currently distributes approximately 1 PB of scientific data to interested users and plans in each of the next several years to roughly double the amount of data that it distributes.
For more information about joining the Open Cloud Consortium and our expanding membership roster, go to: http://opencloudconsortium.org/members/
For more information on getting an account on the Open Science Data Cloud, go to:
http://www.opensciencedatacloud.org/
About the Open Cloud Consortium
The Open Cloud Consortium (OCC) is a not-for-profit organization that: supports the development of standards for cloud computing and frameworks for interoperating between clouds; develops benchmarks for cloud computing; supports reference implementations for cloud computing; manages a testbed for cloud computing called the Open Cloud Testbed; and, sponsors workshops and other events related to cloud computing.
-----
Source: The Open Cloud Consortium
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.
Read more...
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)...
Read more...
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.
Read more...
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.
Read more...
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.
Read more...
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.
Read more...
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.
Read more...
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.