February 06, 2013
BOSTON & CORK, Ireland, Feb. 6 – In a move that underscores the benefits of open source cloud computing, MPSTOR today released a private cloud edition of its Orkestra cloud platform. Orkestra ‘All-in-One’ transforms low cost, off-the-shelf servers into fully-featured private clouds, in a single-step, ‘plug and boot’ install process.
“The Orkestra ‘All-in-One’ Cloud is a low-cost, easy-to-use cloud computing platform”, said Tony McEnroe, MPSTOR’s CEO. “It radically reduces the cost of IT for small and medium-sized companies who want the performance and functionality of multi-site or distributed computer and storage networks but who do not have the IT budget or staff to manage these costly and complex alternatives.”
The Orkestra suite of private and public cloud services platforms are built around OpenStack, the ubiquitous open-source cloud computing platform, founded by Rackspace and Nasa in 2010 and which is now supported by most of the world’s leading IT companies.
“MPSTOR has integrated all of its acclaimed storage virtualization and storage array management capability into the Orkestra Private Cloud Platform”, said William Oppermann, MPSTOR’s Founder and CTO. “This results in a private cloud solution, which has all of the enterprise features of a public cloud platform, including policy-driven SLAs, storage virtualization, multi-tiered storage support, multi-tenant management and much more.”
Located in Ireland, the US and Taiwan, privately held MPSTOR is a designer and supplier of cloud services platforms and data storage management software. MPSTOR’s flagship open-platform storage management software, MPStackware scales from entry level to enterprise performance at cost effective prices and runs on standard x86 platforms.
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 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.
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.
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.