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Matchmaking, Datasets and Physics Analysis

H. Stockinger, F. Donno, G. Eulisse, M. Mazzucato, C. Steenberg
2005 International Conference on Parallel Processing Workshops (ICPPW'05)  
r accessing data, they prefer to use datasets rather in their physics analysis.  ...  We have improved the current WMS (in particular the Matchmaker) to allow physicists to express their analysis job requirements in terms of datasets.  ...  Simply put, a physical dataset is a set of physical files that needs to be available as an atomic unit of data for a physics analysis job. A dataset itself can be replicated to several sites.  ... 
doi:10.1109/icppw.2005.48 dblp:conf/icppw/StockingerDEMS05 fatcat:o2r3bjfrq5eepn2fj4synwqa3a

A Hybrid Semantic Matchmaker for IoT Services

Gilbert Cassar, Payam Barnaghi, Wei Wang, Klaus Moessner
2012 2012 IEEE International Conference on Green Computing and Communications  
We propose a hybrid semantic service matchmaking method that combines our previous work on probabilistic service matchmaking using latent semantic analysis with a weighted-link analysis based on logical  ...  Semantic service matchmaking process is the fundamental construct for providing higher level service-oriented functionalities such as service recommendation, composition, and provisioning in Internet of  ...  The second and third authors are also funded by the EU ICT Iot.est project (www.Ict-Iot.est.eu) contract number: 288385.  ... 
doi:10.1109/greencom.2012.40 dblp:conf/greencom/CassarBWM12 fatcat:yjabg5g3xrfxpbqa2hvy3tx4ra

Comparative Analysis of Multidimensional, Quantitative Data

A Lex, M Streit, C Partl, Karl Kashofer, Dieter Schmalstieg
2010 IEEE Transactions on Visualization and Computer Graphics  
The Caleydo Matchmaker technique allows users to split multidimensional datasets into subgroups, cluster them separately and analyze relations between the resulting clusters.  ...  Typical sources of such data are experiments in biology, physics or engineering, which are conducted in different configurations and use replicates to ensure statistically significant results.  ...  and the Austria Wirtschaftsservice GmbH.  ... 
doi:10.1109/tvcg.2010.138 pmid:20975140 fatcat:wchcyytt6zgyzbeevyl6tjg34a

Creating a Robust Desktop Grid using Peer-to-Peer Services

Jik-Soo Kim, Beomseok Nam, Michael Marsh, Peter Keleher, Bobby Bhattacharjee, Derek Richardson, Dennis Wellnitz, Alan Sussman
2007 2007 IEEE International Parallel and Distributed Processing Symposium  
The initial target application areas for the desktop grid system are in astronomy and space science simulation and data analysis.  ...  Fortunately, these problems can be addressed through the capabilities promised by new techniques and approaches in Peer-to-Peer (P2P) systems.  ...  and physics.  ... 
doi:10.1109/ipdps.2007.370505 dblp:conf/ipps/KimNMKBRWS07 fatcat:uwh6fpaz5zhtpafcg7pywjimx4

QTL MatchMaker: a multi-species quantitative trait loci (QTL) database and query system for annotation of genes and QTL

K. V. Star
2006 Nucleic Acids Research  
It combines and organizes information from relevant public databases and publications and integrates QTL, physical, genetic and cytogenetic maps across human, mouse and rat.  ...  QTL MatchMaker is accessible at  ...  ACKNOWLEDGEMENTS We thank Drs Bernice Morrow, Joe Locker, Katalin Susztak and Barbara Birshtein for critical reading and advice.  ... 
doi:10.1093/nar/gkj027 pmid:16381937 pmcid:PMC1347390 fatcat:cyqbin6r7ngdpcpbh6skhxa4pm

Resource Optimisation in IoT Cloud Systems by Using Matchmaking and Self-management Principles [chapter]

Martin Serrano, Danh Le-Phuoc, Maciej Zaremba, Alex Galis, Sami Bhiri, Manfred Hauswirth
2013 Lecture Notes in Computer Science  
vendors and use the results from the analysis as mechanism to control applications and services deployment in Cloud systems.  ...  We illustrate a Cloud service management approach based on matchmaking operations and self-management principles which enable improved distribution and management of IoT services across different Cloud  ...  from computing applications) and user requirements (i.e. annotated data as streaming data analysis).  ... 
doi:10.1007/978-3-642-38082-2_11 fatcat:cgqiysdweffefcsqexqm7roiwq

Evolution of the CMS Global Submission Infrastructure for the HL-LHC Era

Antonio Perez-Calero Yzquierdo
2019 Zenodo  
Cloud and HPC resources are expected to be dominant relative to resources provided by traditional Grid sites, being also much more diverse and heterogeneous.  ...  New mechanisms for enhanced customization and control over resource allocation and usage, mandatory in this future scenario, will be also presented.  ...  Acknowledgement: We wish to thank the GlideinWMS and HTCondor developers as well as CERN IT teams for their continued support and close collaboration  ... 
doi:10.5281/zenodo.3598817 fatcat:3cehmybymbckjitzbhzamlv7jq

A semantic-based approach for Machine Learning data analysis

Agnese Pinto, Floriano Scioscia, Giuseppe Loseto, Michele Ruta, Eliana Bove, Eugenio Di Sciascio
2015 Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)  
Pervasive applications and services are increasingly based on the intelligent interpretation of data gathered via heterogeneous sensors dipped in the environment.  ...  This paper introduces a early proposal for a semantic-enhanced machine learning analysis on data of sensors streams, performing better even on resource-constrained pervasive smart objects.  ...  ACKNOWLEDGMENTS The work was supported by the Italian PON project Puglia@Service and E.T.C.P. Greece-Italy ARGES (pAssen-geRs and loGistics information Exchange System) project.  ... 
doi:10.1109/icosc.2015.7050828 dblp:conf/semco/PintoSLRBS15 fatcat:tqm6nyklebhx5l6wlu6qultpte

LcgCAF: CDF access method to LCG resources

Gabriele Compostella, Matteo Bauce, Simone Pagan Griso, Donatella Lucchesi, Massimo Sgaravatto, Marco Cecchi
2011 Journal of Physics, Conference Series  
Second generation physics measurements, like precision determinations of top properties or searches for the Standard Model higgs, require increasing computing power for data analysis and events simulation  ...  Instead of expanding its set of dedicated Condor based analysis farms, CDF moved to Grid resources.  ...  Such a large dataset allows to perform high precision physics measurements and wide ranges of searches for new phenomena: for example, the CDF collaboration has recently released a very accurate top quark  ... 
doi:10.1088/1742-6596/331/7/072009 fatcat:gczvzufzifbrdg33ic6qjg6z7y

Linked Open Data for Public Procurement [chapter]

Vojtěch Svátek, Jindřich Mynarz, Krzysztof Węcel, Jakub Klímek, Tomáš Knap, Martin Nečaský
2014 Lecture Notes in Computer Science  
structured sources, support for matchmaking the demand and supply on the procurement market, and aggregate analytics.  ...  LOD2 project covered several aspects of applying linked data on public contracts: ontological modeling of relevant concepts (Public Contracts Ontology), data extraction from existing semi-structured and  ...  datasets.  ... 
doi:10.1007/978-3-319-09846-3_10 fatcat:3kfxbauw2zbf7bzki3qygkvm7i

Sharing economy: seeing through the fog

Daniel Trabucchi, Laurent Muzellec, Sébastien Ronteau
2019 Internet Research  
Based on this matrix, our study reveals four archetypes of sharing economy businesses: "On-Demand renters", "Lifecycle extenders", "Seller aggregators" and "Ephemeral matchmakers".  ...  Design/Methodology/Approach: A systematic literature on the sharing economy was conducted, resulting in the analysis of 114 articles in the management literature.  ...  Concentrating on physical goods, the second level of analysis focuses on the temporality of the transaction and the newness of the asset, used in this transaction.  ... 
doi:10.1108/intr-03-2018-0113 fatcat:oijy3wtosvd6timhf3ino6u6wa

Scheduling in Data Intensive and Network Aware (DIANA) Grid Environments [article]

Richard McClatchey, Ashiq Anjum, Heinz Stockinger, Arshad Ali, Ian Willers, Michael Thomas
2007 arXiv   pre-print
The job scheduler provides a global ranking of the computing resources and then selects an optimal one on the basis of this overall access and execution cost.  ...  The scheduler can then make informed decisions by taking into account the changing state of the network, locality and size of the data and the pool of available processing cycles.  ...  We use the GILDA testbed to run physics analysis applications as a proof-of-concept demonstrator.  ... 
arXiv:0707.0862v1 fatcat:eovohg6yancslieqktkvvl5sea

Body Posture Recognition as a Discovery Problem: A Semantic-Based Framework [chapter]

Michele Ruta, Floriano Scioscia, Maria di Summa, Saverio Ieva, Eugenio Di Sciascio, Marco Sacco
2014 Lecture Notes in Computer Science  
This framework has been implemented in a prototypical tool and preliminary experimental tests have been carried out w.r.t. a reference dataset.  ...  Anyway, often innovative analysis methods applied to data extracted by off-the-shelf detection peripherals can return acceptable outcomes.  ...  Automated analysis of surveillance video is one of the most frequent applications of ontology-based activity recognition and annotation [6] [7] [8] [9] .  ... 
doi:10.1007/978-3-319-09912-5_14 fatcat:2aumm6q7szbivae4dystphmaja

Automated Matchmaking to Improve Accuracy of Applicant Selection for University Education System [article]

Oludayo O. Olugbara, Manish Joshi, Michael M. Modiba, and Virendrakumar C. Bhavsar
2015 arXiv   pre-print
Empirical comparisons of the results, calculated by automated matchmaking and two other selection methods, show matchmaking to be a viable alternative for accurate selection of applicants.  ...  The accurate applicant selection for university education is imperative to ensure fairness and optimal use of institutional resources.  ...  These methods can be classified into two main approaches: Statistical Machine Learning (SML) and Multi-criteria Decision Analysis (MDA).  ... 
arXiv:1507.02439v1 fatcat:ylkqg6mxc5gybjsjefez7ajiqy

Knowledge Representation in the Internet of Things: Semantic Modelling and its Applications

Wei Wang, Suparna De, Gilbert Cassar, Klaus Moessner
2013 Automatika  
The design follows the widely recognised best practices in knowledge engineering and ontology modelling.  ...  Semantic modelling provides a potential basis for interoperating among different systems and applications in the Internet of Things (IoT).  ...  Individual link analysis makes it possible to dissect the degree of match between a service and request in a finer grained way than IO matchmaking filters [39] .  ... 
doi:10.7305/automatika.54-4.414 fatcat:ldpjoywtcbcaxi7ggwoems6j6a
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