Sequencing data. And other experimental data. EMBL-EBI data resources growth
|
|
|
- Vernon Joel Franklin
- 10 years ago
- Views:
Transcription
1 Sequencing Institut Français de Bioinformatique, Un loud pour les Sciences du Vivant source: source: hristophe Blanchet Institut Français de Bioinformatique - IFB French Institute of - ELIXIR French Node NRS UMS Gif-sur-Yvette - FRANE omplete genome sequencing become a lab commodity with (cheap and efficient) Source: omicsmaps.com And other experimental EMBL-E resources growth FR - EU source: EMBL-E Annual Report 2013
2 Plateformes Expérimentales en Biologie Plateformes nationales (GIS ISA) Nb Imagerie cellulaire 19 Génomique, Transcriptomique 16 Protéomique 13 Biologie structurale, biophysique Infrastructures in Biology Biological platform (Genomics, IMaGing, teomics...) center loud resources 11 Scientists Localisation des plateformes Des sites intermédiaires permettent de répartir la charge en terme de stockage et de puissance de calcul tout en assurant une meilleure proximité avec les scientifiques Source: omicsmaps.com IFB mission Mission: to make available core bioinformatics resources to the national life science research community. by providing support for biology programs IFB structure IFB: national research infrastructure of service in Lot of bioinformatics tools and services to treat and vizualize the biological projects bolstering users training IFB consists of : A network of 6 regional centers (> 20 PFs) about 110 FTE permanent staff + 70 FT staff A national node : IFB-core plan of 10 FTE permanent staff (currently 3) + a few FT staff by setting up an IT infrastructure devoted to the management and analysis of biological material resources : PUs, disks, etc. availability of biology collections deployment of bioinformatics tools (loud) by acting as a middleman between the life science community needs and the bioinformatics/computer science research community by being the ELIXIR French node
3 IFB-core: IFB s national hub IFB-core consists of two teams: The "ommunication, Training, Exploitation" unit in charge of the web site and training program based on e-learning The "Infrastructure" unit in charge of the IFB national IT infrastructure IFB-core tasks to provide a technical and administrative support to IFB to implement IFB scientific policy and facilitate the dissemination of actions to ensure an effective coordination between the PFs to serve as an interface by providing a unique entry point to IFB partners (supervisory authorities, the life science community, European and national bioinformatics communities) to set up and manage the IFB s national IT infrastructure to facilitate access to this IT infrastructure by deploying an academic loud IFB e-infrastructure Support : help members to deploy and use their tools e-infrastructure: hardware, biology collections, bioinformatics tools Academic cloud for life science a core ressource IFB-core hosted at NRS IDRIS S center (Paris) + regional resources 6 regional bioinformatics centers with 2 clouds 11,000 cores - +6 PB but +20 bioinformatics platforms reate a federation of clouds for life sciences Technical organization GRIS: a national technical working group (all platforms) Participation to ELIXIR task forces RENA-GO RENA-SO APLIO IFB-core RENA-GS RENA-NE PRA loud? SaaS IaaS PaaS Deploy. public community private hybrid loud Ressources Location # ompute ores # TB Storage # TB RAM Max VM size Technology IFB-core NRS-IDRIS, Paris c 256GB StratusLab IFB-core 2015 NRS-IDRIS, Paris 3, c 1TB StratusLab IFB-core 2016 NRS-IDRIS, Paris 10,000 2,000-96c 2TB StratusLab Genocloud IFB-GO, Rennes ONE Ack.:. Loomis
4 A cloud driven through a web dashboard Ready-to-use bioinformatics cloud appliances appliances are usual virtual machines reate new cloud services e.g. BLAST, lustalw, ARIA, MEME, HMMer, TopHat, BWA, Samtools, etc. MODAL LI PhyML Web AVIESAN 2013 l Virtua op deskt bioompute Node RSAT Run bioinformatics appliances marketplace both a virtual machines repository Store life science VMs and a catalogue Help users to select the appropriate VM for their analysis Aria RSAT mini U ti s litiebiodata BioMaj BlobSeer biodata NFS Dat biohadoop mt a mg public B entos assandra... devoted to bioinformatics urrent bioinformatics IFB apps Linux system Scientific + Virtual Machines Referenced in a marketplace R lustalw2 Installed and preconfigured with bioinformatics tools BLAST FastA OMSSA SSearch PeptideShaker ARIA BWA Xtandem HMMer TopHat samtools lustal Muscle fastq Omega small : few GB, easy to convert in most virtualization formats tools A UNIT EMBL Genomes PDB SITE Move cloud virtual machines Ubuntu (2) tools VM: BLAST, lustalw2, etc. Filter images with meta related to bioinformatics (1) ud lo IDB Analyze OS Base Select tools Scientists can filter (1) the appliances through a Web interface to identify and launch (2) the appropriate ones.... (3) Use tools (3) Scientists have access to their own cloud resources through web portal, remote virtual desktop or SSH. attribute <bio:tool> in VM manifests scientists can select the appropriate appliance according to the tools required for their analyses e.g. the BLAST tool Deploy on several clouds
5 Public Data sources Genomes EMBL Storage for biological PDB UNIT SITE shared (NFS ro) LI (scp, sftp), GUI (yberduck, Transmit, Filezilla, ) PaaS BLAST, lustal, etc. sftp/http/s3 IaaS Master & Storage VM ARIA launch jobs ssh Shared FS Workers VM NS Upload your Monitor your usage Identity Mgmt j. doe e. martin you chb virtual disks Portal loud cg User sftp/http/s3 LI (scp, sftp), GUI (yberduck, Transmit, Filezilla, ) Get your results Moving VMs vs Data ase 1: Standard node Biological platform (Genomics, IMaGing, teomics...) center loud resources Scientists VM VM VM VMs IFB life sciences marketplace & VMs repository appliance Biocompute Use your own instance(s) With pre-installed standard bioinformatics tools BLAST, FastA, SSearch,HMM,... lustalw2, lustal-omega, Muscle,.. Bowtie(2), BWA, samtools,... MEME, R, etc. onnected to public reference Uniprot, EMBL, genomes, PDB, etc. Automaticaly shared to the VMs luster mode turn several instances in a single virtual cluster shared file system batch scheduling
6 IFB cloud ase 2: loud portal Web interface portal is widely used in the community analyse (mainly but not only) connected to community knowledge: and indexes, tools, workflows Preserve workflows and results (cloud virtual disk) Help the integration of monthly updates and new tools loud permit different appliances to be built from the same base: generic with common tools for specific for a set of tools, example of MODAL (MOdels for Data Analysis and Learning) for training: create a special appliance with dedicated sets, tools or workflows (French AVIESAN school 2013) domain specific appliances: RNAseq, HIPseq, etc. (planned) reated by interactive installation Main with standard tools Devoted For a specific event: training, demo, Linux system manual installation For tools: e.g. MODAL AVIESAN 2013 MODAL Version 1.0 Version 2.0 N ase 3: ase 4: virtual desktop A specialized software suite for the analysis of noncoding sequences Used for motif discovery in promotors of co-expressed genes HIPseq analysis evolutionary conserved motifs (phylogenetics footprints) EB 14 tutorial T01 ontact: J. van Helden (TGA) RSAT offers a series of tools dedicated to the detection of regulatory signals in noncoding sequences input a list of genes of interest you retrieve the upstream sequences over a desired distance, discover putative regulatory signals, search the matching positions for these signals in your original set or in whole genomes, display the results graphically in the form of a feature map. Motivation ollaboration with a mass spectroscopy platform Running out of space on their local resources Mass experimental Reference bases : nr, Swiss-Prot Reference screening tools: OMSSA, XTandem Remote Virtual Desktop (NX) Reference GUIs SearchGUI PeptidShaker Protein identification tools User interface source: PeptideShaker site
7 Perspectives IFB - an academic cloud for life sciences IFB s cloud simplify access to biological and tools reference images related to life science help users to select the appropriate VM for their analysis R BLAST FastA OMSSA lustalw2 SSearch PeptideShaker ARIA BWA Xtandem HMMer TopHat samtools lustal Muscle fastq Omega integrate tools and pipelines in turnkey cloud appliances is tightly connected to existing bioinformatics resources, e.g. public reference sources 16 bioinformatics appliances: standard compute nodes, proteomics virtual desktop, portal, structural biology +50 users from all IFB regional centers appliances registry tools reate new cloud services + Virtual Machines Linux system IFB established priorities for 5 scientific domains Microbial Evolutionary bioinformatics Plant bioinformatics Structural Biology processing Select tools... public B A UNIT EMBL Genomes PDB SITE Move cloud virtual machines Scientists can filter (1) appliances through a Web interface to identify and launch (2) the appropriate ones....the (2) tools VM: BLAST, lustalw2, etc. (1) ud lo IDB Analyze (3) Use tools (3) Questions? Acknowledgments lément Gauthey (NRS IDRIS, form. IDB-IBP) Developers of tools that integrated them as an IFB cloud appliance: Samuel Blanck (Inria Lille), Jacques van Helden (TAG), You? StratusLab members IFB s funding by French program PIA INBS 2012 by the experts of the domains publish them in the IFB marketplace to make them available to the scientists Scientists have access to their own cloud resources through web portal, Ecole AVIESAN 2014, 7 septembre remote2014, virtualroscoff desktop or SSH. reate more bioinformatics appliances and technical pilots Interoperability of appliances on different cloud infrastructures Registry of distributed multi-loud sets Live remote cloud processing of sequencing
Cloud pour la Bioinformatique
Cloud pour la Bioinformatique Christophe Blanchet Institut Français de Bioinformatique - IFB French Institute of Bioinformatics - ELIXIR French Node CNRS UMS3601 - Gif-sur-Yvette - FRANCE Sequencing data
Cloud Ready for Bioinformatics?
IDB acknowledges co-funding by the European Community's Seventh Framework Programme (INFSO-RI-261552) and the French National Research Agency's Arpege Programme (ANR-10-SEGI-001) Cloud Ready for Bioinformatics?
Bioinformatique sur Cloud Cas d usage avec le portail Galaxy
Bioinformatique sur Cloud Cas d usage avec le portail Galaxy Christophe Blanchet Institute of Biology and Chemistry of Proteins Head of Service Infrastructure for Biology - IDB CNRS-IBCP FR3302 - LYON
Une e-infrastructure nationale en bioinformatique
Une e-infrastructure nationale en bioinformatique Christophe BLANCHET Institut Français de Bioinformatique - IFB French Institute of Bioinformatics - ELIXIR-FR CNRS UMS3601 - Gif-sur-Yvette - FRANCE JDEV
IFB s e-infrastructure
IFB s e-infrastructure Christophe Blanchet Institut Français de Bioinformatique - IFB French Institute of Bioinformatics - ELIXIR-FR CNRS UMS3601 - Gif-sur-Yvette - FRANCE Life Sciences Platforms in France
Le cloud IFB et son instance Galaxy
Le cloud IFB et son instance Galaxy Christophe BLANCHET Institut Français de Bioinformatique - IFB French Institute of Bioinformatics - ELIXIR-FR CNRS UMS3601 - Gif-sur-Yvette - FRANCE Ecole Bioinformatique
Le cloud IFB et son instance Galaxy
Le cloud IFB et son instance Galaxy Christophe BLANCHET Institut Français de Bioinformatique - IFB French Institute of Bioinformatics - ELIXIR-FR CNRS UMS3601 - Gif-sur-Yvette - FRANCE Ecole Bioinformatique
Eoulsan Analyse du séquençage à haut débit dans le cloud et sur la grille
Eoulsan Analyse du séquençage à haut débit dans le cloud et sur la grille Journées SUCCES Stéphane Le Crom (UPMC IBENS) [email protected] Paris November 2013 The Sanger DNA sequencing method Sequencing
Alternative Deployment Models for Cloud Computing in HPC Applications. Society of HPC Professionals November 9, 2011 Steve Hebert, Nimbix
Alternative Deployment Models for Cloud Computing in HPC Applications Society of HPC Professionals November 9, 2011 Steve Hebert, Nimbix The case for Cloud in HPC Build it in house Assemble in the cloud?
Cloud Computing Solutions for Genomics Across Geographic, Institutional and Economic Barriers
Cloud Computing Solutions for Genomics Across Geographic, Institutional and Economic Barriers Ntinos Krampis Asst. Professor J. Craig Venter Institute [email protected] http://www.jcvi.org/cms/about/bios/kkrampis/
UGENE Quick Start Guide
Quick Start Guide This document contains a quick introduction to UGENE. For more detailed information, you can find the UGENE User Manual and other special manuals in project website: http://ugene.unipro.ru.
SURFsara HPC Cloud Workshop
SURFsara HPC Cloud Workshop doc.hpccloud.surfsara.nl UvA workshop 2016-01-25 UvA HPC Course Jan 2016 Anatoli Danezi, Markus van Dijk [email protected] Agenda Introduction and Overview (current
SURFsara HPC Cloud Workshop
SURFsara HPC Cloud Workshop www.cloud.sara.nl Tutorial 2014-06-11 UvA HPC and Big Data Course June 2014 Anatoli Danezi, Markus van Dijk [email protected] Agenda Introduction and Overview (current
Big Data in BioMedical Sciences. Steven Newhouse, Head of Technical Services, EMBL-EBI
Big Data in BioMedical Sciences Steven Newhouse, Head of Technical Services, EMBL-EBI Big Data for BioMedical Sciences EMBL-EBI: What we do and why? Challenges & Opportunities Infrastructure Requirements
StratusLab project. Standards, Interoperability and Asset Exploitation. Vangelis Floros, GRNET
StratusLab project Standards, Interoperability and Asset Exploitation Vangelis Floros, GRNET EGI Technical Forum 2011 19-22 September 2011, Lyon, France StratusLab is co-funded by the European Community
A curated Domain centric shared Docker registry linked to the Galaxy toolshed
A curated Domain centric shared Docker registry linked to the Galaxy toolshed François Moreews 1, Olivier Sallou 2, Yvan le Bras 2, Marie Grosjean 3, Cyril Monjeaud 2, Thomas Darde 4, Olivier Collin 2,
Building Storage Service in a Private Cloud
Building Storage Service in a Private Cloud Sateesh Potturu & Deepak Vasudevan Wipro Technologies Abstract Storage in a private cloud is the storage that sits within a particular enterprise security domain
Three data delivery cases for EMBL- EBI s Embassy. Guy Cochrane www.ebi.ac.uk
Three data delivery cases for EMBL- EBI s Embassy Guy Cochrane www.ebi.ac.uk EMBL European Bioinformatics Institute Genes, genomes & variation European Nucleotide Archive 1000 Genomes Ensembl Ensembl Genomes
Planning, Provisioning and Deploying Enterprise Clouds with Oracle Enterprise Manager 12c Kevin Patterson, Principal Sales Consultant, Enterprise
Planning, Provisioning and Deploying Enterprise Clouds with Oracle Enterprise Manager 12c Kevin Patterson, Principal Sales Consultant, Enterprise Manager Oracle NIST Definition of Cloud Computing Cloud
DATA MANAGEMENT PLAN IN THE REAL LIFE SCIENCES
DATA MANAGEMENT PLAN IN THE REAL LIFE SCIENCES Yvan Le Bras Cyril Monjeaud Olivier Collin Jacques Nicolas CNRS UMR 6074 IRISA-INRIA Context Now : Genomics : Next Generation Sequencing Now : Proteomics
Trials community. Yannick Legré. [email protected]. www.egi.eu. EGI InSPIRE RI 261323
EGI InSPIRE InSPIRE EGI Federated cloud for the Clinical Trials community Yannick Legré [email protected] ECRIN Workshop EGI European Grid Infrastructure Distributed, federated storage and compute facilities
Big Data and Cloud Computing for GHRSST
Big Data and Cloud Computing for GHRSST Jean-Francois Piollé ([email protected]) Frédéric Paul, Olivier Archer CERSAT / Institut Français de Recherche pour l Exploitation de la Mer Facing data deluge
Euro-BioImaging European Research Infrastructure for Imaging Technologies in Biological and Biomedical Sciences
Euro-BioImaging European Research Infrastructure for Imaging Technologies in Biological and Biomedical Sciences WP11 Data Storage and Analysis Task 11.1 Coordination Deliverable 11.2 Community Needs of
Cloud services in PL-Grid and EGI Infrastructures
1 Cloud services in PL-Grid and EGI Infrastructures J. Meizner, M. Radecki, M. Pawlik, T. Szepieniec ACK Cyfronet AGH Cracow Grid Workshop 2012, Kraków, 22.10.2012 Overview 2 Different types of Compute
Experiences and challenges in the development of the JASMIN cloud service for the environmental science community
JASMIN (STFC/Stephen Kill) Experiences and challenges in the development of the JASMIN cloud service for the environmental science community ECMWF Visualisa-on in Meteorology Week, 28 September 2015 Philip
Cloud BioLinux: Pre-configured and On-demand Bioinformatics Computing for the Genomics Community
Cloud BioLinux: Pre-configured and On-demand Bioinformatics Computing for the Genomics Community Ntinos Krampis Asst. Professor J. Craig Venter Institute [email protected] http://www.jcvi.org/cms/about/bios/kkrampis/
BioHPC Web Computing Resources at CBSU
BioHPC Web Computing Resources at CBSU 3CPG workshop Robert Bukowski Computational Biology Service Unit http://cbsu.tc.cornell.edu/lab/doc/biohpc_web_tutorial.pdf BioHPC infrastructure at CBSU BioHPC Web
Solution for private cloud computing
The CC1 system Solution for private cloud computing 1 Outline What is CC1? Features Technical details Use cases By scientist By HEP experiment System requirements and installation How to get it? 2 What
HPC Cloud. Focus on your research. Floris Sluiter Project leader SARA
HPC Cloud Focus on your research Floris Sluiter Project leader SARA Why an HPC Cloud? Christophe Blanchet, IDB - Infrastructure Distributing Biology: Big task to port them all to your favorite architecture
Managing and Conducting Biomedical Research on the Cloud Prasad Patil
Managing and Conducting Biomedical Research on the Cloud Prasad Patil Laboratory for Personalized Medicine Center for Biomedical Informatics Harvard Medical School SaaS & PaaS gmail google docs app engine
Deploying Business Virtual Appliances on Open Source Cloud Computing
International Journal of Computer Science and Telecommunications [Volume 3, Issue 4, April 2012] 26 ISSN 2047-3338 Deploying Business Virtual Appliances on Open Source Cloud Computing Tran Van Lang 1 and
Design and Building of IaaS Clouds
21th May 2010 CloudViews 2010 Porto, Portugal Next Generation Data Center Summit Design and Building of IaaS Clouds Distributed Systems Architecture Research Group Universidad Complutense de Madrid This
Cloud BioLinux: Pre-configured and On-demand Bioinformatics Computing for the Genomics Community
Cloud BioLinux: Pre-configured and On-demand Bioinformatics Computing for the Genomics Community Ntinos Krampis Asst. Professor J. Craig Venter Institute [email protected] http://www.jcvi.org/cms/about/bios/kkrampis/
Amazon Web Services Demo Tech Exchange. Slides: http://goo.gl/mwz0es. [email protected]
Amazon Web Services Demo Tech Exchange Slides: http://goo.gl/mwz0es [email protected] $ dig +short emergency.iu.edu emergency.iu.edu.s3-website-us-east-1.amazonaws.com. s3-website-us-east-1.amazonaws.com. 54.231.14.220
vnebula Cloud. Made Easy. Introducing vnebula from Stream Networks. A simple, self-service cloud portal for our partner community.
vnebula Cloud. Made Easy. Introducing vnebula from Stream Networks. A simple, self-service cloud portal for our partner community. Keep it simple Our partners asked us for a cloud portal that was simple
Course 20533: Implementing Microsoft Azure Infrastructure Solutions
Course 20533: Implementing Microsoft Azure Infrastructure Solutions Overview About this course This course is aimed at experienced IT Professionals who currently administer their on-premises infrastructure.
ENABLING DATA TRANSFER MANAGEMENT AND SHARING IN THE ERA OF GENOMIC MEDICINE. October 2013
ENABLING DATA TRANSFER MANAGEMENT AND SHARING IN THE ERA OF GENOMIC MEDICINE October 2013 Introduction As sequencing technologies continue to evolve and genomic data makes its way into clinical use and
If you do NOT use applications based on Amazon Web Services raise your hand.
If you do NOT use applications based on Amazon Web Services raise your hand. If you use NetFlix, lower your hand. Use reddit, lower your hand. Use Scribd, lower your hand. Use Spotify, lower your hand.
Hadoopizer : a cloud environment for bioinformatics data analysis
Hadoopizer : a cloud environment for bioinformatics data analysis Anthony Bretaudeau (1), Olivier Sallou (2), Olivier Collin (3) (1) [email protected], INRIA/Irisa, Campus de Beaulieu, 35042,
Early Cloud Experiences with the Kepler Scientific Workflow System
Available online at www.sciencedirect.com Procedia Computer Science 9 (2012 ) 1630 1634 International Conference on Computational Science, ICCS 2012 Early Cloud Experiences with the Kepler Scientific Workflow
Introduction to Cloud Computing
Introduction to Cloud Computing Shang Juh Kao Dept. of Computer Science and Engineering National Chung Hsing University 2011/10/27 CSE, NCHU 1 Table of Contents 1. Introduction ( 資 料 取 自 NCHC 自 由 軟 體 實
Virtualization & Cloud Computing (2W-VnCC)
Virtualization & Cloud Computing (2W-VnCC) DETAILS OF THE SYLLABUS: Basics of Networking Types of Networking Networking Tools Basics of IP Addressing Subnet Mask & Subnetting MAC Address Ports : Physical
Steven Newhouse, Head of Technical Services
Challenges at EMBL-EBI Steven Newhouse, Head of Technical Services European Bioinformatics Institute Outstation of the European Molecular Biology Laboratory International organisation created by treaty
Bioinformatics Grid - Enabled Tools For Biologists.
Bioinformatics Grid - Enabled Tools For Biologists. What is Grid-Enabled Tools (GET)? As number of data from the genomics and proteomics experiment increases. Problems arise for the current sequence analysis
Implementing Microsoft Azure Infrastructure Solutions
Course Code: M20533 Vendor: Microsoft Course Overview Duration: 5 RRP: 2,025 Implementing Microsoft Azure Infrastructure Solutions Overview This course is aimed at experienced IT Professionals who currently
SURFsara Data Services
SURFsara Data Services SUPPORTING DATA-INTENSIVE SCIENCES Mark van de Sanden The world of the many Many different users (well organised (international) user communities, research groups, universities,
New solutions for Big Data Analysis and Visualization
New solutions for Big Data Analysis and Visualization From HPC to cloud-based solutions Barcelona, February 2013 Nacho Medina [email protected] http://bioinfo.cipf.es/imedina Head of the Computational Biology
Assignment # 1 (Cloud Computing Security)
Assignment # 1 (Cloud Computing Security) Group Members: Abdullah Abid Zeeshan Qaiser M. Umar Hayat Table of Contents Windows Azure Introduction... 4 Windows Azure Services... 4 1. Compute... 4 a) Virtual
OpenNebula Leading Innovation in Cloud Computing Management
OW2 Annual Conference 2010 Paris, November 24th, 2010 OpenNebula Leading Innovation in Cloud Computing Management Ignacio M. Llorente DSA-Research.org Distributed Systems Architecture Research Group Universidad
INTRODUCTION TO CLOUD MANAGEMENT
CONFIGURING AND MANAGING A PRIVATE CLOUD WITH ORACLE ENTERPRISE MANAGER 12C Kai Yu, Dell Inc. INTRODUCTION TO CLOUD MANAGEMENT Oracle cloud supports several types of resource service models: Infrastructure
Course 20533B: Implementing Microsoft Azure Infrastructure Solutions
Course 20533B: Implementing Microsoft Azure Infrastructure Solutions Sales 406/256-5700 Support 406/252-4959 Fax 406/256-0201 Evergreen Center North 1501 14 th St West, Suite 201 Billings, MT 59102 Course
How To Use Arcgis For Free On A Gdb 2.2.2 (For A Gis Server) For A Small Business
Esri Middle East and Africa User Conference December 10 12 Abu Dhabi, UAE Understanding ArcGIS in Virtualization and Cloud Environments Marwa Mabrouk Powerful GIS capabilities Delivered as Web services
ArcGIS for Server: In the Cloud
DevSummit DC February 11, 2015 Washington, DC ArcGIS for Server: In the Cloud Bonnie Stayer, Esri Session Outline Cloud Overview - Benefits - Types of clouds ArcGIS in AWS - Cloud Builder - Maintenance
Comparing Methods for Identifying Transcription Factor Target Genes
Comparing Methods for Identifying Transcription Factor Target Genes Alena van Bömmel (R 3.3.73) Matthew Huska (R 3.3.18) Max Planck Institute for Molecular Genetics Folie 1 Transcriptional Regulation TF
Data Centers and Cloud Computing. Data Centers
Data Centers and Cloud Computing Intro. to Data centers Virtualization Basics Intro. to Cloud Computing 1 Data Centers Large server and storage farms 1000s of servers Many TBs or PBs of data Used by Enterprises
SUSE Cloud 2.0. Pete Chadwick. Douglas Jarvis. Senior Product Manager [email protected]. Product Marketing Manager djarvis@suse.
SUSE Cloud 2.0 Pete Chadwick Douglas Jarvis Senior Product Manager [email protected] Product Marketing Manager [email protected] SUSE Cloud SUSE Cloud is an open source software solution based on OpenStack
SOFTWARE DEFINED SOLUTIONS JEUDI 19 NOVEMBRE 2015. Nicolas EHRMAN Sr Presales SDS
SOFTWARE DEFINED SOLUTIONS JEUDI 19 NOVEMBRE 2015 Nicolas EHRMAN Sr Presales SDS Transform your Datacenter to the next level with EMC SDS EMC SOFTWARE DEFINED STORAGE, A SUCCESS STORY 5 ÈME ÉDITEUR MONDIAL
1 P a g e Delivering Self -Service Cloud application service using Oracle Enterprise Manager 12c
Delivering Self-service Cloud application services using Oracle Enterprise Manager 12c Kai Yu, Senior Principal Engineer, Oracle Solutions Engineering, Dell Inc ABSTRACT Oracle Self-Service provisioning
SixSq Cloud Capabilities
SixSq Cloud Capabilities SlipStream: Mutli-cloud Management Platform Marc-Elian Bégin, CEO, Co-founder, SixSq HEPIA Cloud Masters, Lausanne, 2015 Locations Global Headquarters Geneva, Switzerland North
Cloud Computing from an Institutional Perspective
15th April 2010 e-infranet Workshop Louvain, Belgium Next Generation Data Center Summit Cloud Computing from an Institutional Perspective Distributed Systems Architecture Research Group Universidad Complutense
Microsoft Research Windows Azure for Research Training
Copyright 2013 Microsoft Corporation. All rights reserved. Except where otherwise noted, these materials are licensed under the terms of the Apache License, Version 2.0. You may use it according to the
INTRODUCTION APPLICATION DEPLOYMENT WITH ORACLE VIRTUAL ASSEMBLY
SIMPLIFYING APPLICATION DEPLOYMENT IN CLOUD USING VIRTUAL ASSEMBLIES AND EM 12C Kai Yu, Dell Inc. ABSTRACT Oracle virtual assemblies provide a great way to simply the deployment of enterprise-class multi-tier
What s New with VMware Virtual Infrastructure
What s New with VMware Virtual Infrastructure Virtualization: Industry-Standard Way of Computing Early Adoption Mainstreaming Standardization Test & Development Server Consolidation Infrastructure Management
Towards a galaxy.prabi.fr
Towards a galaxy.prabi.fr IFB- galaxy Day 04/12/2013 Navra5l V., PhD, UCBL [email protected] www.prabi.fr One among the six IFB regional nodes Region: Rhône- Alpes Director: Guy Perrière 11 Research Team,
Linux/Open Source and Cloud computing Wim Coekaerts Senior Vice President, Linux and Virtualization Engineering
Linux/Open Source and Cloud computing Wim Coekaerts Senior Vice President, Linux and Virtualization Engineering NIST Definition of Cloud Computing Cloud computing is a model for enabling convenient, on-demand
Cloud Computing. Chapter 1 Introducing Cloud Computing
Cloud Computing Chapter 1 Introducing Cloud Computing Learning Objectives Understand the abstract nature of cloud computing. Describe evolutionary factors of computing that led to the cloud. Describe virtualization
Cloud Success story in India
Cloud Success story in India Asvija B Center for Development of Advanced Computing (C-DAC), Bangalore. INDIA ASREN Workshop on Clouds Education, for Research and Education, Italy Italy Contents Government
Development of Bio-Cloud Service for Genomic Analysis Based on Virtual
Development of Bio-Cloud Service for Genomic Analysis Based on Virtual Infrastructure 1 Jung-Ho Um, 2 Sang Bae Park, 3 Hoon Choi, 4 Hanmin Jung 1, First Author Korea Institute of Science and Technology
icer Bioinformatics Support Fall 2011
icer Bioinformatics Support Fall 2011 John B. Johnston HPC Programmer Institute for Cyber Enabled Research 2011 Michigan State University Board of Trustees. Institute for Cyber Enabled Research (icer)
Core Bioinformatics. Degree Type Year Semester. 4313473 Bioinformàtica/Bioinformatics OB 0 1
Core Bioinformatics 2014/2015 Code: 42397 ECTS Credits: 12 Degree Type Year Semester 4313473 Bioinformàtica/Bioinformatics OB 0 1 Contact Name: Sònia Casillas Viladerrams Email: [email protected]
Virtualization @ Google
Virtualization @ Google Alexander Schreiber Google Switzerland Libre Software Meeting 2012 Geneva, Switzerland, 2012-06-10 Introduction Talk overview Corporate infrastructure Overview Use cases Technology
Microsoft Research Microsoft Azure for Research Training
Copyright 2014 Microsoft Corporation. All rights reserved. Except where otherwise noted, these materials are licensed under the terms of the Apache License, Version 2.0. You may use it according to the
CPAS Overview. Josh Eckels LabKey Software [email protected]
CPAS Overview Josh Eckels LabKey Software [email protected] CPAS Web-based system for processing, storing, and analyzing results of MS/MS experiments Key goals: Provide a great analysis front-end for
IBM Platform Computing : infrastructure management for HPC solutions on OpenPOWER Jing Li, Software Development Manager IBM
IBM Platform Computing : infrastructure management for HPC solutions on OpenPOWER Jing Li, Software Development Manager IBM #OpenPOWERSummit Join the conversation at #OpenPOWERSummit 1 Scale-out and Cloud
Open Cloud System. (Integration of Eucalyptus, Hadoop and AppScale into deployment of University Private Cloud)
Open Cloud System (Integration of Eucalyptus, Hadoop and into deployment of University Private Cloud) Thinn Thu Naing University of Computer Studies, Yangon 25 th October 2011 Open Cloud System University
Data Centers and Cloud Computing
Data Centers and Cloud Computing CS377 Guest Lecture Tian Guo 1 Data Centers and Cloud Computing Intro. to Data centers Virtualization Basics Intro. to Cloud Computing Case Study: Amazon EC2 2 Data Centers
Boas Betzler. Planet. Globally Distributed IaaS Platform Examples AWS and SoftLayer. November 9, 2015. 20014 IBM Corporation
Boas Betzler Cloud IBM Distinguished Computing Engineer for a Smarter Planet Globally Distributed IaaS Platform Examples AWS and SoftLayer November 9, 2015 20014 IBM Corporation Building Data Centers The
<Insert Picture Here> Infrastructure as a Service (IaaS) Cloud Computing for Enterprises
Infrastructure as a Service (IaaS) Cloud Computing for Enterprises Speaker Title The following is intended to outline our general product direction. It is intended for information
Microsoft Azure Cloud oplossing als een extensie op mijn datacenter? Frederik Baert Solution Advisor
Microsoft Azure Cloud oplossing als een extensie op mijn datacenter? Frederik Baert Solution Advisor Mobile-first Cloud-first Cloud Platform Transform the datacenter 0 380.50 0 7.62.50 Unlock insight on
SCC / QUANTUM Kick Off 2015 Comment gérer efficacement des workflows et archives de données non structurées?
SCC / QUANTUM Kick Off 2015 Comment gérer efficacement des workflows et archives de données non structurées? Stéphane Estevez QUANTUM Senior Product Marketing Manager EMEA Anne Morin SCC Business Developpement
