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iMarine and our contribution 1 Presentation methodology: PechaKucha Andrea Manzi (CERN) Nick Drakopoulos (CERN) I T GT

IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

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Page 1: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

iMarine and our contribution

1Presentation methodology: PechaKucha 20x20

Andrea Manzi (CERN)Nick Drakopoulos (CERN)

ITGT

Page 2: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

Outline

• What iMarine is• Main objectives• Our contribution– WP5– WP9 & 11– Future Activities

• Links

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Page 3: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

What is iMarine?

• iMarine is an open and collaborative initiative that will establish a data infrastructure to support the Ecosystem Approach to fisheries management and conservation of marine living resources.

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Page 4: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

Finance and administration • ERCIM

Technology• CNR• NKUA• CERN• ENG• FORTH• TERRA2 Community of Practice

• FAO• FIN • UNESCO• CRIA• IRD

• SP2000• VLIZ• NEAFC

Dissemination• Trust-IT

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The Consortium

Page 5: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

Objectives

• Policy development • Establishment of an iMarine EA Community of

Practice Board•Policies for data sharing and Governance of the

infrastructure

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Policy development

Page 6: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

•Data infrastructure management and operation• Resource provision and monitoring• Operation of concrete EA business cases

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management and operation

Objectives

Page 7: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

extension, adaptation and deployment

• Service enrichment and deployment• Implementation of the iMarine CoPBoard defined

policies• Focus on articulating the management and life-cycle

of biological and socio-economical data• Extend the gCube Framework which enables the

building and operation of a Service Oriented Infrastructure

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Objectives

Page 8: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

Syst

em

Bound

ary

Application Platform

ResourceManagement

ResourceDiscovery

Process Execution

Security

En

ab

ling

WorkspaceTime SeriesEcologicalNiche

Modelling

Business DocumentWorkflow

Applica

tion

VesselActivityAnalyser Internal interactions

Externalinteractions

SearchMining

Storage

AccessD

ata

Man

ag

em

ent

Transformation Transfer

EGI CF 2012 8

Platforms:

- gCore : JAVA WS-Core extension

- Tomcat

gCube Architecture

Page 9: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

CERN Role

• Organization of work to reach objectives :– iMarine Project consists of 11 work packages. – Our contribution for iMarine is in WP5( Leader),

WP9, WP11 (Deputy technical director).

• Data e-Infrastructure Operation• Data Transfer Facilities and Data Management API’s

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WP5

WP9 & 11

Page 10: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

• Data e-Infrastructure Operation :– Operational procedures definition– Infrastructure incidents management– Infrastructure deployment and upgrade

• Data Infrastructure Availability, Monitoring and Accounting :– monitor the status of the infrastructure– account of the infrastructure exploitation – verify the availability of the core functionality provided

by the infrastructure

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CERN Role : WP5

Page 11: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

Managed Resources

• ~ 150 GHNs• ~ 60 TB disk space • ~ 6800 CPUs

Applications

• 15 Virtual Research Environments (Data Mining, Data Curation and Analysis, Niche Modeling, …)

Linking

• Computing Infrastructures (EGI, MS Azure, …)

• Data Infrastructures (MyOcean, GBIF, OBIS, ..)

Geographic Coverage

• Europe (Italy, Spain, Greece, France, …)• America (Brazil)• Asia (Taiwan, Philippines)

Data Infrastructure

Page 12: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

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Taxonomies• Catalogue of Life ( Col)• Integrated Taxonomic Information System ( ITIS)• World Register of Marine Species (WoRMS)

Marine Species Data• Ocean Biogeographic Information System (OBIS)• Global Biodiversity Information Facility (GBIF)

Reports• Fisheries Global Information System (FIGIS)

Environmental data• MyOcean

Earth Observation Data• GENESI– Digital Earth Community (GENESI-DEC)

Statistical Data• FAO SDMX Registry• IRD UMR EME

Species Maps• AquaMaps

Data Resources

Page 13: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

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• Migration to NAGIOS the “De facto” standard for distributed infrastructure monitoring

• Deployed on each infrastructure node • GHNs and Third Party components monitoring• Most of Site Managers already skilled• GUI Interface for free

Standard Monitoring Solution

Page 14: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

CERN Role: WP9 & 11

• Data Transfer Facilities :– Develop a gCube service to integrate existing

services and technologies to deliver an efficient, secure, and reliable data transfer commodity;

– Support the transfer of multiple data formats over different transfer protocols

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Page 15: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

• Data Transfer Facilities :– The set of the Data Transfer Scheduler & Agent

components provides data transfer among Data Sources and Data Storages. It can be exploited by VO/VRE Administrators and by any client or web services.

VO: Virtual Organization (The group hosting VRE’s)VRE: Virtual Research Environment (The gCube applications)

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CERN Role: WP9 & 11

Page 16: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

• Data Transfer Scheduler :– The Data Transfer Scheduler Service is responsible

for the transfer scheduling activity delegating the transfer logic to the series of gDT Agent deployed on the infrastructure.

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CERN Role: WP9 & 11

Page 17: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

• Data Transfer Agent :– The Data Transfer Agent Service has been

implemented with the aim of facilitating the transfer of data ( both structured and unstructured ) for the following use cases:• Transfer local files to a remote GHN• Transfer from DataSource to a remote GHN• Transfer from DataSource to a DataStorage

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CERN Role: WP9 & 11

Page 18: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

• Data Transfer Portlet:– The scheduler portlet is an interface implemented

for the client with the general purpose of scheduling transfers. The Scheduler Portlet provides as well statistics about the agent nodes so that the user can choose the most beneficial agent.

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CERN Role: WP9 & 11

Page 19: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

Near Future Activities

• Data Transfer Facilities :– To integrate all data transfer components with

messaging.– Extensions related to requirements coming from

EA CoP• Data Infrastructure Operation:– Evaluation of Puppet– Development/Integration of tools for

infrastructure topology.

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Page 20: IMarine and our contribution 1 Presentation methodology: PechaKucha 20x20 Andrea Manzi (CERN) Nick Drakopoulos (CERN) IT GT

More information...

• iMarine site:– http://www.i-marine.eu

• CERN IT Project Page :– https://twiki.cern.ch/twiki/bin/view/IT/

IMarineProject• Project wiki :– http://wiki.i-marine.eu

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THANKS!