Security principles for public-resource modeling research

Stainforth, David A.; Martin, Andrew; Simpson, Andrew; Christensen, C.; Kettleborough, J.; Aina, T.; Allen, Myles

doi:10.1109/enabl.2004.54

Cited by 10 publications

(11 citation statements)

References 9 publications

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“…It received funding from the Natural Environment Research Council as part of its e-Science Programme, and from the Department of Trade and Industry (now the Technology Strategy Board). As mentioned above, it has two overriding goals (Stainforth et al 2002).…”

Section: The Climatepredictionnet Projectmentioning

confidence: 99%

Retaining volunteers in volunteer computing projects

Darch

Carusi²

2010

Phil. Trans. R. Soc. A.

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Volunteer computing projects (VCPs) have been set up by groups of scientists to recruit members of the public who are asked to donate spare capacity on their personal computers to the processing of scientific data or computationally intensive models. VCPs serve two purposes: to acquire significant computing capacity and to educate the public about science. A particular challenge for these scientists is the retention of volunteers as there is a very high drop-out rate. This paper develops recommendations for scientists and software engineers setting up or running VCPs regarding which strategies to pursue in order to improve volunteer retention rates. These recommendations are based on a qualitative study of volunteers in a VCP (climateprediction.net). A typology of volunteers has been developed, and three particularly important classes of volunteers are presented in this paper: for each type of volunteer, the particular benefits they offer to a project are described, and their motivations for continued participation in a VCP are identified and linked to particular strategies. In this way, those setting up a VCP can identify which types of volunteers they should be particularly keen to retain, and can then find recommendations to increase the retention rates of their target volunteers.

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Section: The Climatepredictionnet Projectmentioning

confidence: 99%

Retaining volunteers in volunteer computing projects

Darch

Carusi²

2010

Phil. Trans. R. Soc. A.

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“…Often an old application cannot be completely rewritten to fit into the SOA paradigm. A good example is the HadCM3 AOGCM climate model used by the desktop Grid project climateprediction.net [1] which consists of millions of lines of Fortran code that have been developed over 13 years. Due to the pressing issues of climate change there is no time to rewrite and validate the model.…”

Section: Componentizing Legacy Applicationsmentioning

confidence: 99%

“…Even now, the energy consumption limits the increase of computational power of single core CPUs, which is why multi-core CPUs are becoming available on the market. When increases in CPU performance will get smaller, distributed computing gets more and more important because applications like climate and weather simulations [1] or the CERN Large Hadron Collider [2] but also all other kinds of applications still demand more and more power. The Grid offers computational power and storage on demand and can be viewed as a huge virtual computer.…”

Section: Introductionmentioning

confidence: 99%

DougFlow Offering Scientific Applications via Web Services

Pöcher

Batraev

Norbisrath

et al. 2009

2009 Fourth International Conference on Internet and Web Applications and Services

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Scientific computation applications often consist of very different components that produce (or take as an input) huge amounts of data. Wrapping such components into web services to form a combined service for the scientific community has an additional complexity to deal with: how to organize data transfer within the web service framework efficiently enough to form high quality services that do not suffer in performance. In this paper we propose a method for processing large amounts of data transferred between different components of a compound web service. For this we develop a full workflow consisting of three separate components around an existing open-source package DOUG, a parallel black-box solver for large sparse systems of linear equations. We demonstrate the feasibility of the concept on an example of solving the steady state heat equations within design problems. The workflow involves a full production cycle, starting with the design of the geometry of the underlying problem domain with appropriate boundary conditions and other parameters, formation of the discretized system to be solved by DOUG and visualization of the heat distribution as a result.

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“…Leaving aside any possible problems with the scientific methodology or accuracy of the executable model, the greatest threat to the project was that it should finish with insufficient data to make useful forecasts [40]. To this end, one of the greatest security priorities was that participants should join in large num-bers, and be retained: there must be no taint of compromise to participants' privacy or the integrity of their machines.…”

Section: Climatepredictionnetmentioning

confidence: 99%

Grid security: Next steps

Martin

Yau

2007

Information Security Technical Report

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One of the more mature instances of a serviceoriented architecture is the model known as Grid Computing. Computational Grids and Data Grids are becoming commonplace in certain sectors, yet the style of security they implement is suitable only for a fairly small subset of possible user communities. Using some case studies and experience, we describe the existing Grid security models, explain why they represent shortcomings for some applications, and describe some emerging architectures, Trusted Computing and virtualisation, which help address the problems.

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Security principles for public-resource modeling research

Cited by 10 publications

References 9 publications

Retaining volunteers in volunteer computing projects

Retaining volunteers in volunteer computing projects

DougFlow Offering Scientific Applications via Web Services

Grid security: Next steps

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