Scientific Data Management with MXCuBE

Slides:



Advertisements
Similar presentations
15 Maintaining a Web Site Section 15.1 Identify Webmastering tasks Identify Web server maintenance techniques Describe the importance of backups Section.
Advertisements

automated single login access to Novell storage resources
Grey Literature, Institutional Repositories and the Organisational Context Simon Lambert, Brian Matthews & Catherine Jones Business & Information Technology.
© 2006 Open Grid Forum GGF18, 13th September 2006 OGSA Data Architecture Scenarios Dave Berry & Stephen Davey.
Distributed Data Processing
WHY CMS? WHY NOW? CONTENT MANAGEMENT SYSTEM. CMS OVERVIEW Why CMS? What is it? What are the benefits and how can it help me? Centralia College web content.
Summary Role of Software (1 slide) ARCS Software Architecture (4 slides) SNS -- Caltech Interactions (3 slides)
CLOUD COMPUTING.  It is a collection of integrated and networked hardware, software and Internet infrastructure (called a platform).  One can use.
Web-based Portal for Discovery, Retrieval and Visualization of Earth Science Datasets in Grid Environment Zhenping (Jane) Liu.
Digital Identity Management Strategy, Policies and Architecture Kent Percival A presentation to the Information Services Committee.
XA R7.8 Upgrade Process and Technical Overview Ruth Anne Pharr Sr. IT Consultant, CISTECH Inc.
CPSC 203 Introduction to Computers Lab 21, 22 By Jie Gao.
Security Baseline. Definition A preliminary assessment of a newly implemented system Serves as a starting point to measure changes in configurations and.
15 Maintaining a Web Site Section 15.1 Identify Webmastering tasks Identify Web server maintenance techniques Describe the importance of backups Section.
Section 15.1 Identify Webmastering tasks Identify Web server maintenance techniques Describe the importance of backups Section 15.2 Identify guidelines.
Tyler Schultz L&S Administration 1 Welcome to the presentation: “Cloud Storage – Welcome to UW Box,” this presentation was included in the “Campus IT Tools”
M i SMob i S Mob i Store - Mobile i nternet File Storage Platform Chetna Kaur.
Integrated e-Infrastructure for Scientific Facilities Kerstin Kleese van Dam STFC- e-Science Centre Daresbury Laboratory
CPSC 203 Introduction to Computers Lab 23 By Jie Gao.
Microsoft SharePoint Server 2010 for the Microsoft ASP.NET Developer Yaroslav Pentsarskyy
1 The World Bank Internet Services Program Rajan Bhardvaj
REAL TIME GPS TRACKING SYSTEM MSE PROJECT PHASE I PRESENTATION Bakor Kamal CIS 895.
Thoughts on Data Management Nicholas Schwarz Software Services Group Advanced Engineering Support (AES) Division Advanced Photon Source (APS) 25 June 2013.
Remote Access Portal Project Ben Dawson Larry Finn Peter Stickney Ken Vedaa May 7, GC.
GRID Overview Internet2 Member Meeting Spring 2003 Sandra Redman Information Technology and Systems Center and Information Technology Research Center National.
CASTOR evolution Presentation to HEPiX 2003, Vancouver 20/10/2003 Jean-Damien Durand, CERN-IT.
GCRC Meeting 2004 BIRN Coordinating Center Software Development Vicky Rowley.
CSC480 Software Engineering Lecture 10 September 25, 2002.
Company small business cloud solution Client UNIVERSITY OF BEDFORDSHIRE.
CHAPTER 5 MANAGING USER ACCOUNTS & GROUPS. User Accounts Windows 95, 98 & Me do not need a user account like Windows XP Professional to access computer.
ELECTRONIC DOCUMENT SHARING AND MANAGEMENT BY: EDWARD DISI JUSTIN HEIN BROM ESPY Senior Design 1.
Holding slide prior to starting show. Lessons Learned from the GECEM Portal David Walker Cardiff University
Using iRODS with the EnginFrame Grid Portal into the GRIDA3 project Francesco Locunto Marco Piras Matteo Vocale.
Chapter 1 Computer Technology: Your Need to Know
Computer Applications
Chapter 8 Environments, Alternatives, and Decisions.
Peer 2 Peer & Client Server
Network Attached Storage Overview
WP18, High-speed data recording Krzysztof Wrona, European XFEL
Managing the Project Lifecycle
Budget JRA2 Beneficiaries Description TOT Costs incl travel
(on behalf of the POOL team)
Cloud Computing I hear this question often. It is not easy to explain, because it means different things depending on who you talk to. Today’s Webinar.
Amazon Storage- S3 and Glacier
Data Ingestion in ENES and collaboration with RDA
Introduction to Data Management in EGI
Alternative Solutions
Advanced Photon Source
EGI UMD Storage Software Repository (Mostly former EMI Software)
Design and Implementation
Section 15.1 Section 15.2 Identify Webmastering tasks
OGSA Data Architecture Scenarios
Enterprise Content Management Owners Representative Contract Approval
A portal interface to myGrid workflow technology
Computing Infrastructure for DAQ, DM and SC
CH#3 Software Designing (Object Oriented Design)
COTS testing Tor Stålhane.
Windows® MultiPoint™ Server 2010
IT INFRASTRUCTURES Business-Driven Technologies
DIGITAL LIBRARY.
Strategic uses of Web Content Management Systems
MAX IV Laboratory National Synchrotron Light Source – two storage rings (1.5 & 3.0 GeV) and a Short Pulse Facility Characteristics of User Program: 15.
An Introduction to Cloud Computing
Enterprise Integration
The Italian Academic Community’s Electronic Voting System
Reportnet 3.0 Database Feasibility Study – Approach
UoM Research Lifecycle Project
Overview of Computer system
TWIST A web interface to browse and download your NeXus Files
Presentation transcript:

Scientific Data Management with MXCuBE In my presentation I will explain the MAX IV data management strategy and its first implementation on the behalf on the KITS group. Scientific Data Management with MXCuBE Fredrik Bolmsten, on behalf of the KITS Group

Agenda My talk will make the emphasis of the relationship between MAX IV and the User, and only on the Data. S D M

Our motivation is to show that is not only a problem of storage Our motivation is to show that is not only a problem of storage. We want to make the User’s data safe. The way how to do the work is not only technical. Value are important as well.

Simple as that? Big data, High through output is obviously a technical problem. But a data management should also include other services as transparent as possible. Meta data, processing, data transfer.

Data Policy SDM Scope Architecture Data Model Improvement From proposal to publish (what do MAX IV budget for? Where are MAX IV concerned?.. bringing in our external efforts and vision)

Data Policy owns stores are

Concern of the Data Data Portal S D User Office M Submit proposal Proposal review Plan Visit + Arrival Data Collection Analysis Scientific Results Data Portal Initially for data generation but our concern is about the all lifecycle as the result is important as well S D Data Collection & Analysis User Office M

Data and Service Interoperability MAX IV integrates different software at different stages. The integration is either in-house or by file. Use HDF5 as a standard format. User Office Data Acquisition Data Storage Data portal Data Analysis Data Visualisation Data Assessment (Meta) Data catalogue

Workflow Authenticate as user Choose the proposal Set the path of the proposal to the software that produce data Launch the acquisition Process the data Read the data from anywhere

Architecture Under the hood Data Portal Central Storage Come up with this architecture where you can see that the Directory is the central and critical component Central Computing DUO Active Directory Control Server Beamline Workstation

User Interfaces and one login Data Portal Data Collection DUO Central Storage DUO login High Performance Computing Proposal login

Beamline experimental station Authentication Group login during beamline shift Personal login for: Data Analysis Data Portal DUO …

Data Collection - Proposal choice Control Server

Ownership and Access /data/(user-type)/(beamline)/(proposal)/(visit)/raw The (user-type) includes visitors (bread and butter academic users), staff (MAX IV staff) and proprietary (mostly industrial users with a different need for data security). The (visit) should begin with the date when the first shift starts. In addition to /raw there will be a /process folder at the same level with full access. path: /data/visitor /beamline /proposal /visit/raw owner root beamline-services group beamline-staff proposal-group posix 2755 2775 or 2755* 2750 2770 static dynamically created created on the central storage created on the central storage for each beamline dynamically created by a service account

Data Portal Courtesy of A.Barcsyk A user’s data access rights are determined by proposal she belongs to Independent whether connected inside or outside MAX IV Within the facility, the storage directory can be mounted via NFS or SMB Outside facility, a Data Transfer System will provide fast data movement capability Globus/gridftp services MAX IV is directly connected to SUNET 10Gbps initially, 100Gbps later Courtesy of A.Barcsyk

Goal of Improvement R S D M Reduce Result lead time The ultimate goal is to reduce the lead time between the sample collection and the expected result R S D M As much value as possible

Questions? Thanks for your attention