February 04, 2013
PORTLAND, Ore., Feb. 4 – The Distributed Management Task Force (DMTF), the organization bringing the IT industry together to collaborate on systems management standards development, validation, promotion and adoption, today announced it has established a Chapter in China to provide support for its growing international efforts and to drive adoption of DMTF standards in the Chinese marketplace, including cloud management.
DMTF has made recent efforts to promote IT management standards in China by forming partnerships with the China Communications Standards Association (CCSA) and the China Electronics Standardization Institute (CESI), the leading organizations involved in China’s IT standardization work. The development of the China Chapter is another step forward in fostering DMTF’s global standards.
“DMTF is proud to announce the formation of the China Chapter to promote our IT management standards in China,” said Jeff Wheeler, VP of Regional Chapters, DMTF. “As China continues to be a major hub for cloud computing, it is important that we expand our presence in this region and align our future strategies and activities.”
DMTF’s China Chapter will help facilitate the active participation among Chinese companies in open standards addressing cloud computing, virtualization and advanced datacenter technologies. The Chapter will be responsible for driving broad industry adoption of DMTF standards and specifications throughout the business community in China, including the recently released Cloud Infrastructure Management Interface (CIMI v1.0) Specification, a self-service interface for cloud infrastructure management. The Chapter will also work to educate the Chinese vendor community by providing localized DMTF documents, resources and guidelines to assist in regional adoption and inclusion of DMTF standards in local products and services. The China Chapter will also provide input on new and existing DMTF standards, based on known requirements from China-based users and vendors.
“Chinese companies are continuing to influence the IT management sector, particularly as cloud computing gains international industry momentum,” said Zhou Ping, Chair, DMTF China Chapter. “The DMTF China Chapter will drive collaboration among these companies and will support local promotion and adoption of current and future DMTF standards with an emphasis on cloud management.”
China Chapter members currently include CATR, CESI, China Mobile, HP, Huawei, IBM, Fujitsu, Lenovo, Microsoft, Oracle, VMware and ZTE.
DMTF enables more effective management of millions of IT systems worldwide by bringing the IT industry together to collaborate on the development, validation and promotion of systems management standards. The group spans the industry with 160 member companies and organizations, and more than 4,000 active participants crossing 43 countries. The DMTF board of directors is led by 17 innovative, industry-leading technology companies. They include Advanced Micro Devices (AMD); Broadcom Corporation; CA Technologies.; Cisco; Citrix Systems, Inc.; EMC; Fujitsu; HP; Huawei; IBM; Intel Corporation; Microsoft Corporation; NetApp; Oracle; Red Hat; SunGard Availability Services and VMware, Inc. With this deep and broad reach, DMTF creates standards that enable interoperable IT management. DMTF management standards are critical to enabling management interoperability among multi-vendor systems, tools and solutions within the enterprise.
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.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
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.
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.