Are you a researcher, asking yourself "What is the difference between grid computing, supercomputing, cloud computing, volunteer computing and everything else? How do I know what is the right tool to use for my work?" If so, then attend the upcoming online discussion hosted by iSGTW - the weekly online computing magazine sponsored by Open Science Grid and the European Grid Initiative - called "Roundtable Q&A: Choose and use the right computing tool for your research, with feedback from the experts."
iSGTW is an international, weekly, on-line science-computing newsletter that shows the importance of distributed computing, cloud computing and supercomputing. It does so by reporting about the people and projects involved in these fields, and how these types of computing technologies are being applied to make scientific advances.
"Cloud computing comes in several different forms and this article documents how service, platform, and infrastructure forms of cloud computing have been used to serve library needs. Following an overview of these uses the article discusses the experience of one library in migrating IT infrastructure to a cloud environment and concludes with a model for assessing cloud computing."
Description: "The focus of this project was on computer-mediated or computational scientific knowledge discovery, taken broadly as any research processes enabled by digital computing technologies. Such technologies may include data mining, information retrieval and extraction, artificial intelligence, distributed grid computing, and others. These technological capabilities support computer-mediated knowledge discovery, which some believe is a new paradigm in the conduct of research. The emphasis was primarily on digitally networked data, rather than on the scientific, technical, and medical literature. The meeting also focused mostly on the advantages of knowledge discovery in open networked environments, although some of the disadvantages were raised as well."
e-Science is about global collaboration in key areas of science, and the next generation of computational infrastructure that will enable it. These two volumes contain selected papers from the UK e-Science All Hands Meeting, which was held in Oxford, UK, in December 2009. This meeting has become the annual event where computational scientists and technologists come together to share, discuss and advance the exciting research that has grown out of the UK e-Science Programme.
From the O'REilly Open Source conference (July 2009), featuring Simon Wardley of Canonical, Ltd. "cloud computing is a natural progression of industry maturity for IT ...whether your revenue can be enhanced by making your offerings available through cloud computing. "
DZero collaborators perform the data analysis for the experiment using a variety of computational resources, including Open Science Grid and EGEE.
"Computing resources are playing a very important role in particle physics with many exciting results, including di-muon charge asymmetry, obtained with heavy use of grid," Denisov said.
From the abstract: ", we propose a social framework based on crowdsourced annotations of scholars, designed to keep up with the rapidly evolving disciplinary and interdisciplinary landscape. We describe a system called Scholarometer, which provides a service to scholars by computing citation-based impact measures. This creates an incentive for users to provide disciplinary annotations of authors, which in turn can be used to compute disciplinary metrics. We first present the system architecture and several heuristics to deal with noisy bibliographic and annotation data. We report on data sharing and interactive visualization services enabled by Scholarometer. Usage statistics, illustrating the data collected and shared through the framework, suggest that the proposed crowdsourcing approach can be successful. Secondly, we illustrate how the disciplinary bibliometric indicators elicited by Scholarometer allow us to implement for the first time a universal impact measure proposed in the literature. Our evaluation suggests that this metric provides an effective means for comparing scholarly impact across disciplinary boundaries."
The Proceedings of the National Academy of Sciences (PNAS) published Tuesday a landmark paper entitled "Network architecture of the long-distance pathways in the macaque brain" (an open-access paper) by Dharmendra S. Modha (IBM Almaden) and Raghavendra Singh (IBM Research-India) with major implications for reverse-engineering the brain and developing a network of cognitive-computing chips. (Thanks to Garrett Eastman)
Computers and the web have transformed homes and businesses, and could do the same for education and training. Known as "eLearning," this can be as simple as accessing a school timetable online, or as complex as running virtual communities for sharing and creating knowledge.
The key to the Alzheimer's project was an agreement as ambitious as its goal: not just to raise money, not just to do research on a vast scale, but also to share all the data, making every single finding public immediately, available to anyone with a computer anywhere in the world.
"You go to the store to buy a television, and then you come home and you watch some television. But the television you buy isn't the television you watch, and the television you watch isn't the television you buy. We use the same word to refer to the object and the content flow, and nobody gets confused because we all know what television is. Now all of a sudden, we have video spilling out of phones and personal computers, and the question "Is that television?" becomes really complicated."
Scholarometer(beta) is a social tool to facilitate citation analysis and help evaluate the impact of an author's publications. Developed at Indiana University School of Informatics and Computing
What was highly significant, however, was the pace of discussion and analysis, carried out in real time on blogs and a wiki that had been quickly set up for the purpose of collectively analyzing the paper. This kind of collaboration has emerged only in recent years in the math and computer science communities. In the past, intense discussions like the one that surrounded the proof of the Poincaré conjecture were carried about via private e-mail and distribution lists as well as in the pages of traditional paper-based science journals.
IU Bloomington School of Informatics and Computing associate professor Johan Bollen and the National Information Standards Organization (NISO) will share the Mellon Foundation grant designed to build upon the Metrics from Scholarly Usage of Resources (MESUR) project that Bollen began in 2006
provides access to a comprehehsive set of software packages easing the exploration, modification, comparison, and extension of data mining and information visualization algorithms. Diverse software packages were bundled into learning modules. Access to a large-scale data repository, extensive compute resources, and a growing set of references are provided as well. It is our hope that the community will adopt this resource to foster Information Visualization education and research.
eScience refers to new science opportunities that require distributed collaborations and enabled by emerging internet technologies. These technologies include grid computing, distributed data management, and collaborative tools. Many tools are still in the process of rapid development, and in some cases standards are not yet established.
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