2010 IEEE Sixth International Conference on e-Science最新文献

Electrochemical Parameter Optimization Using Scientific Workflows 基于科学工作流的电化学参数优化

2010 IEEE Sixth International Conference on e-Science Pub Date : 2010-12-07 DOI: 10.1109/ESCIENCE.2010.38

C. Enticott, T. Peachey, D. Abramson, E. Mashkina, Chong‐Yong Lee, A. Bond, G. Kennedy, D. Gavaghan, D. Elton

引用次数: 6

Institutional Infrastructure to Support Translational Research 支持转化研究的机构基础设施

2010 IEEE Sixth International Conference on e-Science Pub Date : 2010-12-07 DOI: 10.1109/eScience.2010.50

Airong Luo, Kai Zheng, S. Bhavnani, M. W. Collexis, D. Gunter, Michael Warden

引用次数: 3

Fault Tolerance and Scaling in e-Science Cloud Applications: Observations from the Continuing Development of MODISAzure 电子科学云应用中的容错和扩展:来自MODISAzure持续发展的观察

2010 IEEE Sixth International Conference on e-Science Pub Date : 2010-12-07 DOI: 10.1109/ESCIENCE.2010.47

Jie Li, M. Humphrey, Y. Cheah, Y. Ryu, D. Agarwal, K. Jackson, C. Ingen

{"title":"Fault Tolerance and Scaling in e-Science Cloud Applications: Observations from the Continuing Development of MODISAzure","authors":"Jie Li, M. Humphrey, Y. Cheah, Y. Ryu, D. Agarwal, K. Jackson, C. Ingen","doi":"10.1109/ESCIENCE.2010.47","DOIUrl":"https://doi.org/10.1109/ESCIENCE.2010.47","url":null,"abstract":"It can be natural to believe that many of the traditional issues of scale have been eliminated or at least greatly reduced via cloud computing. That is, if one can create a seemingly well functioning cloud application that operates correctly on small or moderate-sized problems, then the very nature of cloud programming abstractions means that the same application will run as well on potentially significantly larger problems. In this paper, we present our experiences taking MODISAzure, our satellite data processing system built on the Windows Azure cloud computing platform, from the proof-of-concept stage to a point of being able to run on significantly larger problem sizes (e.g., from national-scale data sizes to global-scale data sizes). To our knowledge, this is the longest-running eScience application on the nascent Windows Azure platform. We found that while many infrastructure-level issues were thankfully masked from us by the cloud infrastructure, it was valuable to design additional redundancy and fault-tolerance capabilities such as transparent idempotent task retry and logging to support debugging of user code encountering unanticipated data issues. Further, we found that using a commercial cloud means anticipating inconsistent performance and black-box behavior of virtualized compute instances, as well as leveraging changing platform capabilities over time. We believe that the experiences presented in this paper can help future eScience cloud application developers on Windows Azure and other commercial cloud providers.","PeriodicalId":441488,"journal":{"name":"2010 IEEE Sixth International Conference on e-Science","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120978615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 28

Metabolic Flux Analysis in the Cloud 云中的代谢通量分析

2010 IEEE Sixth International Conference on e-Science Pub Date : 2010-12-07 DOI: 10.1109/ESCIENCE.2010.20

T. Dalman, Tim Dörnemann, Ernst Juhnke, M. Weitzel, Matthew Smith, W. Wiechert, K. Nöh, Bernd Freisleben

引用次数: 19

Bridging the Gap between Business and Scientific Workflows: Humans in the Loop of Scientific Workflows 弥合业务和科学工作流之间的差距:科学工作流循环中的人

2010 IEEE Sixth International Conference on e-Science Pub Date : 2010-12-07 DOI: 10.1109/eScience.2010.12

M. Sonntag, D. Karastoyanova, E. Deelman

引用次数: 38

A Semantic eScience Platform for Chemistry 化学语义科学平台

2010 IEEE Sixth International Conference on e-Science Pub Date : 2010-12-07 DOI: 10.1109/ESCIENCE.2010.18

Mark Borkum, C. Lagoze, J. Frey, S. Coles

引用次数: 14

COVE: A Visual Environment for Multidisciplinary Ocean Science Collaboration COVE:多学科海洋科学合作的视觉环境

2010 IEEE Sixth International Conference on e-Science Pub Date : 2010-12-07 DOI: 10.1109/eScience.2010.13

Keith Grochow, M. Stoermer, J. Fogarty, Charlotte P. Lee, B. Howe, Ed Lazowska

{"title":"COVE: A Visual Environment for Multidisciplinary Ocean Science Collaboration","authors":"Keith Grochow, M. Stoermer, J. Fogarty, Charlotte P. Lee, B. Howe, Ed Lazowska","doi":"10.1109/eScience.2010.13","DOIUrl":"https://doi.org/10.1109/eScience.2010.13","url":null,"abstract":"Advances in cyber infrastructure for virtual observatories are poised to allow scientists from disparate fields to conduct experiments together, monitor large collections of instruments, and explore extensive archives of observed and simulated data. Such systems, however, focus on the ‘plumbing’ and frequently ignore the critical importance of rich, 3D interactive visualization, asset management, and collaboration necessary for interdisciplinary communication. The NSF Ocean Observatories Initiative (OOI) is typical of modern observatory-oriented projects–its goal is to transform ocean science from an expeditionary science to an observatory science. This paper explores the design of an interactive tool to support this new way of conducting ocean science. Working directly with teams of scientists, we designed and deployed the Collaborative Ocean Visualization Environment (COVE). We then carried out three field evaluations of COVE: a multi-month deployment with the scientists and engineers of an observatory design team and two deployments at sea as the primary planning and collaboration platform on expeditionary cruises to map observatory sites and study geothermal vents.","PeriodicalId":441488,"journal":{"name":"2010 IEEE Sixth International Conference on e-Science","volume":"6 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122796247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Realising an eScience Platform to Support Climate Change Adaptation in Victoria 在维多利亚州实现支持气候变化适应的eScience平台

2010 IEEE Sixth International Conference on e-Science Pub Date : 2010-12-07 DOI: 10.1109/eScience.2010.32

C. Pettit, A. Russel, A. Michael, J. Aurambout, Subhash Sharma, Steve Williams, D. Hunter, Pang Choung Chan, Ann Borda, I. Bishop, D. Abramson

{"title":"Realising an eScience Platform to Support Climate Change Adaptation in Victoria","authors":"C. Pettit, A. Russel, A. Michael, J. Aurambout, Subhash Sharma, Steve Williams, D. Hunter, Pang Choung Chan, Ann Borda, I. Bishop, D. Abramson","doi":"10.1109/eScience.2010.32","DOIUrl":"https://doi.org/10.1109/eScience.2010.32","url":null,"abstract":"Our research is focused on developing an ecoinformatics platform to support climate change adaptation in Victoria. A multidisciplinary, cross-organisational approach is taken in developing adaptation strategies to deal with the ‘diabolical’ policy problem of climate change. The platform comprises a number of components including: (i) a metadata discovery tool to support modelling, (ii) a workflow engine for connecting climate change models, (iii) geographical visualisation tools for communicating landscape and farm impacts, (iv) a landscape object library for storing and sharing digital models, and (v) a landscape constructor tool to support participatory decision-making, and (vi) a virtual organisation for collaboration and sharing information. In this paper we will discuss the platform as it has been developed to support collaborative research and to inform stakeholders of the likely impacts of climate change in South West Victoria, Australia. We will discuss some of the drivers for research in developing the ecoinformatics platform and its components. The paper concludes by identifying some future research directions in better connecting researchers and communicating science outcomes associated with climate change impact and adaptation.","PeriodicalId":441488,"journal":{"name":"2010 IEEE Sixth International Conference on e-Science","volume":"38 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126213564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Enhancing the Quality and Trust of Citizen Science Data 提高公民科学数据的质量和可信度

2010 IEEE Sixth International Conference on e-Science Pub Date : 2010-12-07 DOI: 10.1109/ESCIENCE.2010.33

A. Alabri, J. Hunter

引用次数: 74

NG-TEPHRA: A Massively Parallel, Nimrod/G-enabled Volcanic Simulation in the Grid and the Cloud NG-TEPHRA:网格和云中的大规模并行，Nimrod/ g支持的火山模拟

2010 IEEE Sixth International Conference on e-Science Pub Date : 2010-12-07 DOI: 10.1109/eScience.2010.27

Santiago Nunez, B. Bethwaite, J. Brenes, Gustavo Barrantes, José Castro, E. Malavassi, D. Abramson

{"title":"NG-TEPHRA: A Massively Parallel, Nimrod/G-enabled Volcanic Simulation in the Grid and the Cloud","authors":"Santiago Nunez, B. Bethwaite, J. Brenes, Gustavo Barrantes, José Castro, E. Malavassi, D. Abramson","doi":"10.1109/eScience.2010.27","DOIUrl":"https://doi.org/10.1109/eScience.2010.27","url":null,"abstract":"Volcanoes are a principal factor of hazard across the Pacific Rim, with their focus of interest mostly divided into pyroclastic flows and ash deposition. The latter has significantly more impact due to its widespread geographical reach and prolonged effects in human activities and health. TEPHRA is a volcanic ash dispersion model based on a simple version of the advection-diffusion Suzuki model, which has been revisited and modified for the Iraz'u volcano in Costa Rica. A full parameter exploration is necessary in this particular case (albeit not sufficient) due to scarce observational data. We present in this paper the model, its assumptions and limitations as well as application lifecycle with resulting ash distribution graphics. The computational experimental settings are described, in particular the use of Nimrod/G with respect to non-homogeneous parameter sweeps and its impact on execution time. We also analyze the implementation of a new parameter discard mechanism common to e-Science experiments where sequential generation of new parameter sets has to be complemented with an early verification in order to avoid allocation of CPU time to non-valid scenarios. Finally four sample 100K-scenario runs are analyzed for both traditional HPC clustering and Cloud computing resources in the Amazon EC2 Cloud.","PeriodicalId":441488,"journal":{"name":"2010 IEEE Sixth International Conference on e-Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128667959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10