October 19, 2010
The Handbook of Cloud Computing which was just released by Springer Publishing provides insights from experts in cloud from academia, laboratories and enterprise and covers a broad range of issues; from the high-level approach to understanding of cloud as concept and practical model to in-depth conversations about high performance computing in the cloud and data-intensive supercomputing applications in a virtualized or on-demand environment, it leaves few stones unturned.
There are a number of books that have come to market this year alone that attempt to tackle the complex topic of cloud computing, but most of them, at least from a cursory browse are either far too general and one-size-fits-all in their approach or they are extremely niche (i.e., simply about CRM, BPM, SOA, etc.).
The books that offer the “big picture” but still manage to branch out to all applicable areas are not easy to come by, but at over 600 pages and supplemented by chapter subheadings that include, “Scientific Data Management in the Cloud” and “High Performance Computing on Competitive Cloud Resources” not to mention a number of case studies, it could very well be one of the more valuable publications for HPC cloud folks this year.
The publisher states that what they’ve released is, “a reference book intended for advanced-level students and researchers in computer science and electrical engineering” and that it can also be “beneficial to computer and system infrastructure designers, developers, business managers, entrepreneurs and investors within the cloud computing-related industry.”
The book was edited by Armando Escalante, CTO of LexisNexis Risk Solutions and Dr. Borko Furht, Chair at the Department of Computer Science and Engineering at Florida Atlantic University.
Full story at Florida Atlantic University
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.
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.