All, Attached is an updated version of the ISV HTC primer following on from today's call. We believe we have reached consensus on this informational document providing advice on some specific scenarios relating to running applications and have identified some open issues for further discussion. Please review and provide feedback. We would like to reach group consensus on this document within the next few weeks. Regards, Steven
Minutes from the call are on gridforge. https://forge.gridforum.org/sf/go/doc15283?nav=1 (Thanks Andrew) I have also uploaded the V9 draft to https://forge.gridforum.org/sf/go/doc15209?nav=1 Andreas On Tue, 08 Jul 2008 14:16:24 +0900, Steven Newhouse <Steven.Newhouse@microsoft.com> wrote:
All,
Attached is an updated version of the ISV HTC primer following on from today's call. We believe we have reached consensus on this informational document providing advice on some specific scenarios relating to running applications and have identified some open issues for further discussion.
Please review and provide feedback. We would like to reach group consensus on this document within the next few weeks.
Regards,
Steven
-- Andreas Savva Fujitsu Laboratories Ltd
Appologize for the cross posting, please forward those information to anyone who interest to attend the conference. ----------------------------- CALL FOR PARTICIPANTS ------------------------ 10th International Conference on Data Warehousing and Knowledge Discovery (DaWaK '08) Turin, 1-5 September, 2008 http://www.dexa.org/dawak ---------------------------------------------------------------------------- DaWaK (Data Warehousing and Knowledge Discovery) series reach 10th age this year. From 121 full submitted papers out of 143 submitted abstracts, we accept only 40 papers, make the acceptance rate of 33,05%. The DaWaK program (include presentations from 40 accepted papers, 1 invited talk and discussions) will start with topics on Data Warehousing, and then continue with Data Mining and Knowledge Discovery topics. The detail program is already available at DEXA website (https://stdev.ifs.tuwien.ac.at/dexadriver/confdriver/program/19). We are looking forward to welcome you in Turin. Sincerely, DaWaK '08 Chair Il Yeol Song, Drexel University, Philadelphia, USA Johann Eder, University of Klagenfurt, Austria Tho Manh Nguyen, Vienna University of Technology, Austria ---------------------------------------------------------------------------- Programme of 10th International Conference on Data Warehousing and Knowledge Discovery (DaWaK '08 ) 2008-09-02 [09:15-09:30] : DaWaK 2008 Opening 2008-09-02 [09:30-11:00] : Session 1: Conceptual Design & Modeling UML-Based Modeling for What-If Analysis Matteo Golfarelli, Stefano Rizzi Model-driven OLAP Metadata from the Conceptual Models of Data Warehouses Jesús Pardillo, Jose-Norberto Mazón, Juan Trujillo An MDA Approach for the Development of Spatial Data Warehouses Octavio Glorio , Juan Trujillo 2008-09-02 [11:30-13:00] : Session 2: OLAP & Cube Processing Built-in indicators to discover interesting drill paths in a cube Jerôme Cubillé, Véronique Cariou, Christian Derquenne, Sabine Goutier, Françoise Guisnel, Henri Klajnmic Upper Borders for Emerging Cubes Sébastien NEDJAR, Alain CASALI, Rosine CICCHETTI, Lotfi LAKHAL An Aggregation Function for XML Document OLAP Analysis Franck Ravat, Olivier Teste, Ronan Tournier, Gilles Zurfluh 2008-09-02 [14:30-16:00] : Session 3: Distributed Data Warehouse Summarizing Distributed Data Streams for storage in Data Warehouses Chiky Raja, Hebrail Georges Efficient Data Distribution for DWS Raquel Almeida, Jorge Vieira, Marco Vieira, Henrique Madeira, Jorge Bernardino Horizontal Partitioning in Data Warehouse: Hardness Study, Selection Algorithms and Validation on ORACLE10G Kamel Boukhalfa, Ladjel Bellatreche, Pascal Richard 2008-09-02 [16:30-18:00] : Session 4: Data Privacy in Data Warehouse A Robust Sampling-based Framework for Privacy Preserving OLAP Alfredo Cuzzocrea, Vincenzo Russo, Domenico Sacc� Generalization-based Privacy-Preserving Data Collection Lijie Zhang, Weining Zhang Processing Aggregate Queries on Spatial Data Wo-Shun Luk, Kenneth Choi 2008-09-03 [09:00-10:00] : DaWaK Invited Talk (Mukesh Mohania) 2008-09-03 [11:00-12:30] : Session 5: Data Warehouse and Data Mining Efficient Incremental Maintenance of Derived and Computed Relations in Bioinformatics Data Warehouses Gabriela Turcu, Svetlozar Nestorov, Ian Foster Mining Conditional Cardinality Patterns for Data Warehouse Query Optimization Mikolaj Morzy, Marcin Krystek Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies Marc Plantevit, Anne Laurent, Maguelonne Teisseire 2008-09-03 [14:30-16:00] : Session 6: Clustering I Efficient K-means Clustering Using Accelerated Graphics Processors S.A. Arul Shalom, Manoranjan Dash, Minh Tue Extracting knowledge from life courses: clustering and visualization Nicolas Séverin Müller, Alexis Gabadinho, Gilbert Ritschard, Matthias Studer A Hybrid Clustering Algorithm based on Multi-Swarm Constriction PSO and GRASP Yannis Marinakis, Magdalene Marinaki, Nikolaos Matsatsinis 2008-09-03 [16:30-18:00] : Session 7: Clustering II Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering Jonathan Gemmell, Andriy Shepitsen, Bamshad Mobasher, Robin Burke Clustered Dynamic Conditional Correlation Multivariate GARCH Model Tu Zhou, Laiwan Chan Document Clustering by Semantic Smoothing and Dynamic Growing Cell Structure (DynGCS) for Biomedical Literature Min Song, Xiaohua Hu, Eric Koppel, Illhoi Yoo 2008-09-04 [09:00-11:00] : Session 8: Mining Data Streams Mining Serial Episode Rules with Time Lags over Multiple Data Streams Tung-Ying Lee, En Tzu Wang, Arbee L.P. Chen Efficient Approximate Mining of Frequent Pattterns over Transactional Data Streams Willie Ng, Manoranjan Dash Continuous Trend-Based Clustering in Data Streams Maria Kontaki, Apostolos Papadopoulos, Yannis Manolopoulos Mining Multidimensional Sequential Patterns over Data Streams Chedy Raïssi, Marc Plantevit 2008-09-04 [11:30-13:00] : Session 9: Classification Towards a Model Independent Method for Explaining Classification for Individual Instances Erik � trumbelj, Igor Kononenko Selective pre-processing of imbalanced data for improving classification performance Jerzy Stefanowski, Szymon Wilk A Parameter-Free Associative Classification Method Loic Cerf, Dominique Gay, Nazha Selmaoui, Jean-Francois Boulicaut 2008-09-04 [14:30-16:00] : Session 10: Text Mining & Taxonomy I The Evaluation of Sentence Similarity Measures Palakorn Achananuparp, Xiaohua Hu, Shen Xiajiong Labeling Nodes of Automatically Generated Taxonomy for Multi-type Relational Datasets Tao Li, Sarabjot Anand Towards Automatic Construction of Conceptual Taxonomies Rosa Meo, Dino Ienco 2008-09-04 [16:30-18:00] : Session 11: Text Mining & Taxonomy II Adapting LDA model to discover author-topic relations for email analysis Liqiang Geng, Hao Wang, Xin Wang, Larry Korba A new semantic representation for short texts MarÃa J. MartÃn-Bautista, Sandro MartÃnez-Folgoso, MarÃa-Amparo Vila Document-base Extraction for Single-label Text Classification Yanbo J. Wang, Robert Sanderson, Frans Coenen, Paul Leng 2008-09-05 [09:30-11:00] : Session 12: Machine Learning Techniques How an Ensemble Method can Compute a Comprehensible Model Amparo Ruiz Sepulveda, José Luis Triviño Rodriguez, Rafael Morales Bueno Empirical Analysis of Reliability Estimates for Individual Regression Predictions Zoran Bosnic, Igor Kononenko User Defined Partitioning - Group Data based on Computation Model Qiming Chen, Meichun Hsu 2008-09-05 [11:30-13:00] : Session 13: Data Mining Applications Workload-Aware Histograms for Remote Applications Tanu Malik, Randal Burns Is a voting approach accurate for opinion mining? Michel Plantie, Mathieu Roche, Gerard Dray, Pascal Poncelet Mining Sequential Patterns with Negative Conclusions Przemyslaw Kazienko Appologize for the cross posting, please forward those information to anyone who interest to attend the conference. ----------------------------- CALL FOR PARTICIPANTS ------------------------------------- 10th International Conference on Data Warehousing and Knowledge Discovery (DaWaK '08) Turin, 1-5 September, 2008 http://www.dexa.org/dawak ---------------------------------------------------------------------------- ------------- DaWaK (Data Warehousing and Knowledge Discovery) series reach 10th age this year. From 121 full submitted papers out of 143 submitted abstracts, we accept only 40 papers, make the acceptance rate of 33,05%. The DaWaK program (include presentations from 40 accepted papers, 1 invited talk and discussions) will start with topics on Data Warehousing, and then continue with Data Mining and Knowledge Discovery topics. The detail program is already available at DEXA website (https://stdev.ifs.tuwien.ac.at/dexadriver/confdriver/program/19). We are looking forward to welcome you in Turin. Sincerely, DaWaK '08 Chair Il Yeol Song, Drexel University, Philadelphia, USA Johann Eder, University of Klagenfurt, Austria Tho Manh Nguyen, Vienna University of Technology, Austria ---------------------------------------------------------------------------- ----------------------- Programme of 10th International Conference on Data Warehousing and Knowledge Discovery (DaWaK '08 ) 2008-09-02 [09:15-09:30] : DaWaK 2008 Opening 2008-09-02 [09:30-11:00] : Session 1: Conceptual Design & Modeling UML-Based Modeling for What-If Analysis Matteo Golfarelli, Stefano Rizzi Model-driven OLAP Metadata from the Conceptual Models of Data Warehouses Jesús Pardillo, Jose-Norberto Mazón, Juan Trujillo An MDA Approach for the Development of Spatial Data Warehouses Octavio Glorio , Juan Trujillo 2008-09-02 [11:30-13:00] : Session 2: OLAP & Cube Processing Built-in indicators to discover interesting drill paths in a cube Jerôme Cubillé, Véronique Cariou, Christian Derquenne, Sabine Goutier, Françoise Guisnel, Henri Klajnmic Upper Borders for Emerging Cubes Sébastien NEDJAR, Alain CASALI, Rosine CICCHETTI, Lotfi LAKHAL An Aggregation Function for XML Document OLAP Analysis Franck Ravat, Olivier Teste, Ronan Tournier, Gilles Zurfluh 2008-09-02 [14:30-16:00] : Session 3: Distributed Data Warehouse Summarizing Distributed Data Streams for storage in Data Warehouses Chiky Raja, Hebrail Georges Efficient Data Distribution for DWS Raquel Almeida, Jorge Vieira, Marco Vieira, Henrique Madeira, Jorge Bernardino Horizontal Partitioning in Data Warehouse: Hardness Study, Selection Algorithms and Validation on ORACLE10G Kamel Boukhalfa, Ladjel Bellatreche, Pascal Richard 2008-09-02 [16:30-18:00] : Session 4: Data Privacy in Data Warehouse A Robust Sampling-based Framework for Privacy Preserving OLAP Alfredo Cuzzocrea, Vincenzo Russo, Domenico Sacc� Generalization-based Privacy-Preserving Data Collection Lijie Zhang, Weining Zhang Processing Aggregate Queries on Spatial Data Wo-Shun Luk, Kenneth Choi 2008-09-03 [09:00-10:00] : DaWaK Invited Talk (Mukesh Mohania) 2008-09-03 [11:00-12:30] : Session 5: Data Warehouse and Data Mining Efficient Incremental Maintenance of Derived and Computed Relations in Bioinformatics Data Warehouses Gabriela Turcu, Svetlozar Nestorov, Ian Foster Mining Conditional Cardinality Patterns for Data Warehouse Query Optimization Mikolaj Morzy, Marcin Krystek Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies Marc Plantevit, Anne Laurent, Maguelonne Teisseire 2008-09-03 [14:30-16:00] : Session 6: Clustering I Efficient K-means Clustering Using Accelerated Graphics Processors S.A. Arul Shalom, Manoranjan Dash, Minh Tue Extracting knowledge from life courses: clustering and visualization Nicolas Séverin Müller, Alexis Gabadinho, Gilbert Ritschard, Matthias Studer A Hybrid Clustering Algorithm based on Multi-Swarm Constriction PSO and GRASP Yannis Marinakis, Magdalene Marinaki, Nikolaos Matsatsinis 2008-09-03 [16:30-18:00] : Session 7: Clustering II Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering Jonathan Gemmell, Andriy Shepitsen, Bamshad Mobasher, Robin Burke Clustered Dynamic Conditional Correlation Multivariate GARCH Model Tu Zhou, Laiwan Chan Document Clustering by Semantic Smoothing and Dynamic Growing Cell Structure (DynGCS) for Biomedical Literature Min Song, Xiaohua Hu, Eric Koppel, Illhoi Yoo 2008-09-04 [09:00-11:00] : Session 8: Mining Data Streams Mining Serial Episode Rules with Time Lags over Multiple Data Streams Tung-Ying Lee, En Tzu Wang, Arbee L.P. Chen Efficient Approximate Mining of Frequent Pattterns over Transactional Data Streams Willie Ng, Manoranjan Dash Continuous Trend-Based Clustering in Data Streams Maria Kontaki, Apostolos Papadopoulos, Yannis Manolopoulos Mining Multidimensional Sequential Patterns over Data Streams Chedy Raïssi, Marc Plantevit 2008-09-04 [11:30-13:00] : Session 9: Classification Towards a Model Independent Method for Explaining Classification for Individual Instances Erik � trumbelj, Igor Kononenko Selective pre-processing of imbalanced data for improving classification performance Jerzy Stefanowski, Szymon Wilk A Parameter-Free Associative Classification Method Loic Cerf, Dominique Gay, Nazha Selmaoui, Jean-Francois Boulicaut 2008-09-04 [14:30-16:00] : Session 10: Text Mining & Taxonomy I The Evaluation of Sentence Similarity Measures Palakorn Achananuparp, Xiaohua Hu, Shen Xiajiong Labeling Nodes of Automatically Generated Taxonomy for Multi-type Relational Datasets Tao Li, Sarabjot Anand Towards Automatic Construction of Conceptual Taxonomies Rosa Meo, Dino Ienco 2008-09-04 [16:30-18:00] : Session 11: Text Mining & Taxonomy II Adapting LDA model to discover author-topic relations for email analysis Liqiang Geng, Hao Wang, Xin Wang, Larry Korba A new semantic representation for short texts MarÃa J. MartÃn-Bautista, Sandro MartÃnez-Folgoso, MarÃa-Amparo Vila Document-base Extraction for Single-label Text Classification Yanbo J. Wang, Robert Sanderson, Frans Coenen, Paul Leng 2008-09-05 [09:30-11:00] : Session 12: Machine Learning Techniques How an Ensemble Method can Compute a Comprehensible Model Amparo Ruiz Sepulveda, José Luis Triviño Rodriguez, Rafael Morales Bueno Empirical Analysis of Reliability Estimates for Individual Regression Predictions Zoran Bosnic, Igor Kononenko User Defined Partitioning - Group Data based on Computation Model Qiming Chen, Meichun Hsu 2008-09-05 [11:30-13:00] : Session 13: Data Mining Applications Workload-Aware Histograms for Remote Applications Tanu Malik, Randal Burns Is a voting approach accurate for opinion mining? Michel Plantie, Mathieu Roche, Gerard Dray, Pascal Poncelet Mining Sequential Patterns with Negative Conclusions Przemyslaw Kazienko
Hi Steven, Attached is modified version of scenario table for readability. Just food for thought at today's call. Thanks, ---- Hiro Kishimoto -------- Original Message -------- Subject: [ogsa-wg] ISV HTC Primer - Review Needed From: Steven Newhouse <Steven.Newhouse@microsoft.com> To: ogsa-wg@ogf.org <ogsa-wg@ogf.org> Date: 2008/07/08 14:16
All,
Attached is an updated version of the ISV HTC primer following on from today's call. We believe we have reached consensus on this informational document providing advice on some specific scenarios relating to running applications and have identified some open issues for further discussion.
Please review and provide feedback. We would like to reach group consensus on this document within the next few weeks.
Regards,
Steven
------------------------------------------------------------------------
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participants (4)
-
Andreas Savva -
Hiro Kishimoto -
Nguyen Manh Tho -
Steven Newhouse