January 30, 2012
Jan. 30 — The International Workshop on Clouds for Business and Business for Clouds (C4BB4C) will be held at the 10th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA2012).
Description
Cloud Computing has acquired enough maturity to expand its field of application to business. Yet there are not only institutions which use this paradigm in their production line but there are also those which are offering services through the Cloud.
This workshop intends to put together efforts done from service producers and consumers in order to make Cloud Computing provide an added value to the economy of any kind of institution. Technologies, policies and heuristics will be shared, not discarding those coming from other areas that would benefit cloud computing.
The Workshop intends also to focus on how services are delivered through the cloud as a popular strategic technology choice for businesses that provides a flexible, ubiquitous and consistent platform accessible from anywhere at any time.
The interface of software services and cloud computing provides a rich area for research and experience to give a unique insight into how cloud-based service can be achieved in practice. We encourage submissions of research papers on work in the area of Cloud Computing, Service Engineering, and especially welcome papers describing developments in cloud-enabled business process management and all related areas, such as deployment techniques, business models for cloud-based enterprises and experience reports from practitioners.
Selected Papers
Extended version of selected papers will be included in a special issue of Scientific Computing: Practice and Experience.
Topics
Important Dates
Online coverage
Twitter hashtag: #C4BB4C
DSA-Research blog: International Workshop on Clouds for Business and Business for Clouds (C4BB4C)
Acknowledgments
This Workshop couldn't be possible without the following projects: MEDIANET (Comunidad de Madrid S2009/TIC-1468), HPCcloud (MICINN TIN2009-07146) and 4CaaSt (Gr. Agree. 258862).
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Source: DSA Research Group at Complutense University of Madrid
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.
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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).
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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.
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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.
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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.
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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.