This project is funded by the European Union Cloud computing to assist Surveillance of Neglected Tropical Diseases: The Leishmaniasis Virtual Laboratory.

Slides:



Advertisements
Similar presentations
DELOS Highlights COSTANTINO THANOS ITALIAN NATIONAL RESEARCH COUNCIL.
Advertisements

Welcome to Middleware Joseph Amrithraj
Unveiling ProjectWise V8 XM Edition. ProjectWise V8 XM Edition An integrated system of collaboration servers that enable your AEC project teams, your.
Contrail and Federated Identity Management
ASCR Data Science Centers Infrastructure Demonstration S. Canon, N. Desai, M. Ernst, K. Kleese-Van Dam, G. Shipman, B. Tierney.
CNRIS CNRIS 2.0 Challenges for a new generation of Research Information Systems.
Workshop on HPC in India Grid Middleware for High Performance Computing Sathish Vadhiyar Grid Applications Research Lab (GARL) Supercomputer Education.
1 Software & Grid Middleware for Tier 2 Centers Rob Gardner Indiana University DOE/NSF Review of U.S. ATLAS and CMS Computing Projects Brookhaven National.
Thee-Framework for Education & Research The e-Framework for Education & Research an Overview TEN Competence, Jan 2007 Bill Olivier,
The Cactus Portal A Case Study in Grid Portal Development Michael Paul Russell Dept of Computer Science The University of Chicago
Cloud Computing and its Implementation ELYSIUM TECHNOLOGIES PRIVATE LIMITED Madurai | Trichy | Coimbatore | Kollam | Cochin | Tirunelveli T. Udhaya Shankar,
1/8 Enhancing Grid Infrastructures with Virtualization and Cloud Technologies Ignacio M. Llorente Business Workshop EGEE’09 September 21st, 2009 Distributed.
 Cloud computing  Workflow  Workflow lifecycle  Workflow design  Workflow tools : xcp, eucalyptus, open nebula.
DuraCloud Managing durable data in the cloud Michele Kimpton, Director DuraSpace.
Department of Biomedical Informatics Service Oriented Bioscience Cluster at OSC Umit V. Catalyurek Associate Professor Dept. of Biomedical Informatics.
DISTRIBUTED COMPUTING
A scheduling component for e-Science Central Anirudh Agarwal Jacek Cała.
Per Møldrup-Dalum State and University Library SCAPE Information Day State and University Library, Denmark, SCAPE Scalable Preservation Environments.
® IBM Software Group © 2007 IBM Corporation J2EE Web Component Introduction
IST programme Cultural Heritage in Tomorrow ’s Knowledge Society FUTURE PLANS FP6 Cultural Heritage in Tomorrow ’s Knowledge Society FUTURE PLANS FP6 RRRESE.
European Grid Initiative Federated Cloud update Peter solagna Pre-GDB Workshop 10/11/
From GEANT to Grid empowered Research Infrastructures ANTONELLA KARLSON DG INFSO Research Infrastructures Grids Information Day 25 March 2003 From GEANT.
Introduction to dCache Zhenping (Jane) Liu ATLAS Computing Facility, Physics Department Brookhaven National Lab 09/12 – 09/13, 2005 USATLAS Tier-1 & Tier-2.
1 4/23/2007 Introduction to Grid computing Sunil Avutu Graduate Student Dept.of Computer Science.
Grid Execution Management for Legacy Code Applications Grid Enabling Legacy Code Applications Tamas Kiss Centre for Parallel.
Using Biological Cyberinfrastructure Scaling Science and People: Applications in Data Storage, HPC, Cloud Analysis, and Bioinformatics Training Scaling.
NA-MIC National Alliance for Medical Image Computing UCSD: Engineering Core 2 Portal and Grid Infrastructure.
1 Media Grid Initiative By A/Prof. Bu-Sung Lee, Francis Nanyang Technological University.
GRID Overview Internet2 Member Meeting Spring 2003 Sandra Redman Information Technology and Systems Center and Information Technology Research Center National.
Grid Execution Management for Legacy Code Applications Grid Enabling Legacy Applications.
A scalable and flexible platform to run various types of resource intensive applications on clouds ISWG June 2015 Budapest, Hungary Tamas Kiss,
NeuroLOG ANR-06-TLOG-024 Software technologies for integration of process and data in medical imaging A transitional.
7. Grid Computing Systems and Resource Management
Biomedical and Bioscience Gateway to National Cyberinfrastructure John McGee Renaissance Computing Institute
| nectar.org.au NECTAR TRAINING Module 2 Virtual Laboratories and eResearch Tools.
Development of e-Science Application Portal on GAP WeiLong Ueng Academia Sinica Grid Computing
User Scenarios in VENUS-C Focus on Structural Analysis Ignacio Blanquer I3M - UPV.
Grid Execution Management for Legacy Code Architecture Exposing legacy applications as Grid services: the GEMLCA approach Centre.
EGI Technical Forum Madrid COMPSs in the EGI Federated Cloud Daniele Lezzi – BSC EGI Technical Forum Madrid.
The EUBrazilOpenBio-BioVeL Use Case in EGI Daniele Lezzi, Barcelona Supercomputing Center EGI-TF September 2013.
INDIGO – DataCloud WP5 introduction INFN-Bari CYFRONET RIA
Cloud interoperability and elasticity with COMPSs Federated Cloud F2F Jan , Amsterdam Daniele Lezzi – Barcelona Supercomputing Center.
PLATFORM TO EASE THE DEPLOYMENT AND IMPROVE THE AVAILABILITY OF TRENCADIS INFRASTRUCTURE IberGrid 2013 Miguel Caballer GRyCAP – I3M - UPV.
EGI-Engage is co-funded by the Horizon 2020 Framework Programme of the European Union under grant number WG on Python and WG on Workflows.
Open Data and Cloud Computing e-Infrastructure for Biodiversity Daniele Lezzi Barcelona Supercomputing Center International Workshop on Science Gateways.
EGI Technical Forum Madrid The EUBrazilOpenBio-BioVeL Use Case in EGI Daniele Lezzi – BSC EGI Technical Forum Madrid.
Federated Cloud: Computing UPVLC-I3M Effort allocated: 6 pms. Proposal: Integration of an Infrastructure Broker with self-configuration and auto-scaling.
The EPIKH Project (Exchange Programme to advance e-Infrastructure Know-How) gLite Grid Introduction Salma Saber Electronic.
Daniele Lezzi Execution of scientific workflows on federated multi-cloud infrastructures IBERGrid Madrid, 20 September 2013.
EGI-InSPIRE RI EGI Compute and Data Services for Open Access in H2020 Tiziana Ferrari Technical Director, EGI.eu
Scientific Data Processing Portal and Heterogeneous Computing Resources at NRC “Kurchatov Institute” V. Aulov, D. Drizhuk, A. Klimentov, R. Mashinistov,
EGI… …is a Federation of over 300 computing and data centres spread across 56 countries in Europe and worldwide …delivers advanced computing.
Petr Škoda, Jakub Koza Astronomical Institute Academy of Sciences
PaaS services for Computing and Storage
Bob Jones EGEE Technical Director
Accessing the VI-SEEM infrastructure
Ecological Niche Modelling in the EGI Cloud Federation
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING CLOUD COMPUTING
Introduction to Distributed Platforms
EUBrazil Cloud Connect project overview
StratusLab Final Periodic Review
StratusLab Final Periodic Review
Similarities between Grid-enabled Medical and Engineering Applications
Recap: introduction to e-science
Brief introduction to the project
University of Technology
Management of Virtual Execution Environments 3 June 2008
Introduction to D4Science
Cloud Computing and its Implementation
Stakeholders consultation
Presentation transcript:

This project is funded by the European Union Cloud computing to assist Surveillance of Neglected Tropical Diseases: The Leishmaniasis Virtual Laboratory in EUBrazilCC Ignacio Blanquer (UPV) Israel Cruz (ISCIII)

What EUBrazilCC is? A project funded in the 2nd EU-Brazil coordinated call EUBrazil Cloud Connect (614048) is a Small or medium- scale focused research project (STREP) funded by the European Commission under the Cooperation Programme, Fra-mework Programme Seven (FP7) Esse projeto é resultante do Edital MCT/CNPq Nº 13/ Programa de Cooperação Brasil – União Europeia na Área de Tecnologias da Informação e Comunicação - TIC A team of 12 institutions co-led by UPV and UFCG. 20/10/14 2

What EUBrazilCC aims at? Foster EU-Brazil international cooperation in cloud infrastructures at three levels: Heterogeneous (especially cloud) infrastructure federation. Integration of Programming Services to efficiently Access infrastructure resources. User’s applications, creating shared spaces for the benefit of international collaborations Common (EU+Brazil) involvement in cloud standards definition. 20/10/14 3

Main pillars of EUBrazilCC The use – cases Three applications coming from the EU-Brazil cooperation The Platform Programming environments Workflows Scientific Gateways The infrastructure Heterogeneous Federated 20/10/14EUBrazilCC – FP ONEOStackHPCClusters Fogbow CSGRID COMPSs eSC mc2 IM / VMRC PDAS Leishmaniasis Virtual Laboratory Vascular system simulation Climate change & ecology PMES-COMPSs

The EUBrazilCC Infrastructure EUBrazilCC gathers resources from 6 centres Clusters, ONE & Ostack on-premise clouds. Federated at the level of resource provision (fogbow) and at the level of the services (PMES-COMPS and CSGRID). 20/10/14EUBrazilCC – FP Cloud >1000 cores + <500 op cores UPVLC BSC CMCC UFCG LNCC HPC > 5500 cores LNCC BSC UNEW CMCC

The EUBrazilCC Software Architecture 20/10/14EUBrazilCC – FP PDAS COMPSs eScience Central IM / VMRC CSGRID fogbow A framework for the execution of parallel applications. Offers a BES interface and talks directly OCCI Deployment and configuration of VAs. A rich-metadata repository of VMIs. A federation middleware for on-premise clouds and opportunistic resources. OCCI-compliant A Parallel Data Analysis service for processing Big Data cubes. Especially for multidimensional data. A workflow-based platform for data analysis. Supporting blocks in “R”, java, octave or javascript. An homogeneous interface for clusters and HPC infrastructures. Manages distributed & heterogeneous environments.

Interoperability EUBrazilCC services are compatible with other infrastructure providers Fogbow implemented a OCCI-compliant interface (fOCCI), tested on the CloudWATCH Cloud Plugfest and Standards Profile Workshop. PMES-COMPSs can talk through rOCCI with EGI Federated clouds infrastructures. Authentication through VOMS perun + keystone for managing credentials at the level of the private clouds. All the services to accept VOMS certificates for authentication. 20/10/14EUBrazilCC – FP

The EUBrazilCC Use Cases 20/10/14EUBrazilCC – FP A Virtual Lab to improving the monitoring of Leishmaniasis Every year 1-2 million new cases of leishmaniasis occur. The LVL aims to improve surveillance and research activities in the field of this neglected tropical disease by integrating data of parasites and vectors distribution from different databases (CLIOC, COLFLEB, ISCIII, speciesLink, Genebank, pubmed), together with molecular data and bioinformatic s processing pipelines. A scientific app to understand how biodiversity affects climate change Understanding the mutual interaction at a global scale between climate change & biodiversity dynamics is needed. EUBrazilCC will integrate two workflows combining models of plant species distribution and multi-level imaging data and processing in a scientific gateway. An integrated environment for blood flow and heart simulation Simulating a heartbeat is a complex, multi-scale problem. EUBrazilCC will deploy a complete blood simulation system with an accuracy beyond the state of the art by integrating the heart simulation system (ALYA) with a complete arterial simulation system (ADAN)

Selected case: Leishmaniasis Virtual Laboratory 20/10/14EUBrazilCC – FP

Selected case: Leishmaniasis Virtual Laboratory 20/10/14EUBrazilCC – FP countries350 Million people at riskSpread Prevalence: 12 MillionIncidence: 2 MillionChanges immune status Mortality: /yr3rd parasitic diseaseEnvironmental variation DALYs: th infectious diseaseDrug resistance Davies et al 2003

Selected case: Leishmaniasis Virtual Laboratory This will require three main components Integrating high-quality Databases CLIOC ( and the ISCIII-WHO-CCL collection for enriching molecular samples with associated clinical information. COLFLEB ( ISCIII-WHO-CCL collection and speciesLink ( for the georeferenced information of vectors. GenBank® ( for the molecular data of Leishmania parasites and sand fly. PubMed ( to index related scientific articles. Integrating computing resources to efficiently deal with the workload of Multilocus Sequence Analyses (MLSA). Providing a community-like scientific Gateway to support researchers in sharing data, executing processing and accessing multiple data sources. 20/10/14EUBrazilCC – FP

Selected case: Leishmaniasis Virtual Laboratory 20/10/14EUBrazilCC – FP Client MVC framework Backbone.js JS map library OpenLayers 3 Web browser OAuth 2.0 AuthZ Server Apache Oltu IdP OAuth Token Load Balancer Nginx Server backend RESTful web service framework Jersey HTTP server Apache Tomcat Common libraries Google Guava Caching System Linux + JVM CLIOCCOLFLEBGenBank PubMedspeciesLink External datasources Cloud Provider Workflow Engine Database MongoDB Leishmania Collection Phlebotomine Habitat Models JSON OAuth Token

LVL collection main data The Leishmaniasis Virtual Laboratory will comprise information about Leishmania parasites (GeneBank+CLIOC/ISCIII) and sand fly vectors (SpeciesLink + COLFLEB/ISCIII). Filtering will allow to identify the set of samples that are of interest for a given study. 20/10/14 13

LVL experiment A typical experiment may consist on checking if whether the DNA sequence from a Leishmania isolate obtained from an outbreak was already described in other locations. The available DNA sequences from different collections plus the user’s sample (outbreak isolate) are stored in a FASTA file and send to the processing pipeline. 20/10/14 14

LVL experiment eScienceCentral processes the set of stages of a phylogeny study Multiple pipelines will be offered, including multiple algorithms, such as maximum parsimony, maximum likehood and neighbor-joining. Execution time may take hours, depending on the arguments. The result will be a phylogenetic tree showing how this new sequence isolate is related to others. 20/10/14 15

LVL collection view - heatmap Different branches of the tree define similarity subsets, which can be explored separately. Geographic maps will give a view of the “hot spots” where more entries are found for a given sequence. 20/10/14EUBrazilCC – FP

LVL collection view – sand flies Heat maps could be compared with maps from geo- referenced occurrences of the vectors from COLFLEB and other collections. Analysing the interactions of specific strains and specific vector species will increase the knowledge on disease control management. Potential use of Ecologic Niche Modelling will enable identifying potential risk areas under future climate conditions. 20/10/14EUBrazilCC – FP

LVL 20/10/14EUBrazilCC – FP Gathered information Parasite Host Location Host Immune Status Clinical Form Genotype Vector Location Species Host Preferences Genotype Surveillance System Mapping Distribution /Ecological Niche Modelling Assess Spread of Parasites and Vectors Parasite-Vector-Host Profiles Outbreak-associated Traits Emergence Preparedness

Dissemination and Future The EUBrazilCC web site has additional information. There are other ways to get informed: udconnect oudconnect Join our newsletter mailing list! ct.eu/content/stay-touch ct.eu/content/stay-touch 20/10/14EUBrazilCC – FP

Conclusions EUBrazilCC aims at demonstrating the use of cloud infrastructures for research as a basis for international cooperation All the activities are based on joint EU-Brazil work. The LVL is a use case with important social impact and which requires cloud computing infrastructures for production usage. 20/10/14EUBrazilCC – FP