Brokering IG Session S. NATIVI, J. PEARLMAN AND M. CRAGLIA Agenda - - PowerPoint PPT Presentation

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Brokering IG Session S. NATIVI, J. PEARLMAN AND M. CRAGLIA Agenda - - PowerPoint PPT Presentation

Nov 08, 2022 104 likes •395 views

3 rd RDA Plenary Dublin, 26 -28 March 2014 Brokering IG Session S. NATIVI, J. PEARLMAN AND M. CRAGLIA Agenda Introduction (All) - 15 minutes; Brokering framework (Chairs) 15 minutes; The Earth Cube experience (Jay Pearlman) 10

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  • S. NATIVI, J. PEARLMAN AND M. CRAGLIA

Brokering IG Session

3rd RDA Plenary Dublin, 26 -28 March 2014

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nativi@iia.cnr.it nativi@iia.cnr.it

Agenda

Introduction (All) - 15 minutes; Brokering framework (Chairs) – 15 minutes;

  • The Earth Cube experience (Jay Pearlman) – 10 minutes;
  • The GEOSS Experience (Stefano Nativi) – 10 minutes;
  • The INSPIRE Experience (Max Craglia) –10 minutes

Break – 15 minutes Discussion on “Governance of Brokering middleware” – 30 minutes Lunch– 60 minutes Designing a new WG (All) – 40 minutes Wrap-up (Chairs) – 5 minutes

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WHY BROKERING? WHAT IS BROKERING?

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Discipline A Discipline B Discipline N

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Developing Interoperbility

  • Federation approach: a Common (lingua franca) solution for

all

Standardization

Common Technological and Semantic baseline for all the domains and

  • rganizations

Federation

Common interoperability

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Developing Interoperbility

  • Complement Fedarion with Brokering

Standardization

Common Technological and Semantic baseline for a given domain

Federation

Domain interoperability Cohese infrastructures

Brokering /interconnection

Multi-domain (and multi-organizational) standards mediation Global infrastructures (e.g. SoS, NoN)

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.. .

Brokering Framework (Intermediation & Transformation)

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Brokering Framework (Intermediation & Transformation)

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nativi@iia.cnr.it

Brokering Benefits

Lowers barriers to participation in distributed systems for both users and resource providers

  • minimal burden or cost impact on existing systems;

Accelerates interconnection of disparate systems; Facilitates sustainability, reusability, extensibility, and flexibility of the infrastructure Enhances multi-disciplinary interoperability via introduction

  • f new capabilities across multiple domains;

Removes need to impose common (e.g. federal, “top-down”) specifications and software components enabling a more adaptive “bottom-up” evolution of the infrastructure

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Several Projects and Programmes are adopting or testing a Brokering approach

BROKERING COMMUNITY

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The GEOSS Experience

STEFANO NATIVI (CNR-IIA)

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  • launched in response to calls for action by the 2002 World

Summit on Sustainable Development, Earth Observation Summits, and by the G8 (Group of Eight) leading industrialized countries

  • voluntary partnership of 90 governments and 67

international organizations

  • provides a framework within which these partners can

develop new projects and coordinate their strategies and investments

  • charged with developing GEOSS

GEO (Group on Earth Observations)

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Global Earth Observation System of Systems (GEOSS)

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GEOSS Common Infrastructure Earth observations data, information and services GEOSS Portal

Discovery and Access Broker

Resource Registration

Rationale

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nativi@iia.cnr.it nativi@iia.cnr.it

An ecosystem of multiple “Galaxies”

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nativi@iia.cnr.it nativi@iia.cnr.it

Data & Information Capacities

«Traditional» Data/Information Systems Crowd-sourcing capacities Big Data capacities

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nativi@iia.cnr.it

GBIF Clearinghouse GENESI-DEC NASA GSFC- DAAC EuroGEOSS NASA GCMD/IDN SeaDataNet CWIC IODE INPE EEA-SDI EnviroGRIDS/ WaterML OneGeology SAEOS PANGAEA WIS

Big Data Platform Big Data Analitycs Citizen Oservatory

The GEO Brokering Approach

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nativi@iia.cnr.it nativi@iia.cnr.it

Community & Citizen Apps

Enabling Community Applications

GEOSS Portal GEONETcast apps

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nativi@iia.cnr.it

Current Assets

GEO Home Page GEOSS Portal

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nativi@iia.cnr.it

Current Assets

More than 20 brokered data providers – capacities, systems, Communities

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More than 7 Million (1.2 Million GEOSS

Data Core) Discoverable and potentially Accessible

aggregated resources (mix of data collections, datasets and individual images) .. .

Publish Contain [source: data providers] More than 65 Million (50 Million

GEOSS Data Core) Discoverable

and potentially Accessible individual resources (e.g. satellite scenes, rain gauge records)

.. .

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nativi@iia.cnr.it nativi@iia.cnr.it

DAB Cloud-based Capabilities

Load Balancing

  • Each DAB component is replicated on multiple machines
  • Amazon Load Balancers take care of routing requests to machines with lighter loads
  • New machine can be added on-the-fly as needed

Tiles and Data Caches

  • DAB makes use of Hadoop-based solutions for storing and retrieving maps and

data.

Monitoring system usage and resource consuming (number of

queries, use of CPU, memory, etc.)

Store user’s queries and selections to improve ranking of

results (under development)

Elastic Load Balancing Instance with CloudWatch

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nativi@iia.cnr.it

GEO DAB typical Configuration

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