1 / 7

Enhancing IT Infrastructure for Scientific Applications: A Two-Tiered Approach

This document outlines a strategic framework focusing on a two-tiered approach to integrate advanced IT infrastructure into scientific applications. It aims to provide state-of-the-art services and tools, tackle new IT research areas, and delineate short-term and long-term objectives for the next 1 to 5 years. Emphasis is placed on geoscience domain cybertools, semantic mediation, data integration, and advanced visualization. The initiative includes developing integrated views, facilitating data access through open standards, and enabling data replication and caching for improved efficiency.

kenna
Télécharger la présentation

Enhancing IT Infrastructure for Scientific Applications: A Two-Tiered Approach

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data Integration Chaitan Baru Ilya Zaslavsky Ashraf Memon Michalis Petropoulos Yannis Papakonstantinou Bertram Ludaescher San Diego Supercomputer Center

  2. GEON IT Activities • “Two-tier” approach to bringing IT to scientific applications • Provide state of the art IT infrastructure • Identify and address new IT research • Short term targets (~1 year) vs. long-term strategy (3year, 5year) • IT Working Groups • Concept Spaces and Semantic Mediation • Tools and services • “Core” Grid Services • “Shared cybertools” • OGSA stack, authentication, data discovery, data integration, data replication… • Application Services • Geoscience “domain cybertools” • Advanced Visualization

  3. Data Integration • Database integration • Based on “join” operation in relational databases (e.g. SSN, city name, …) • Integrating layers in a single GIS (“spatial joins”) • Semantic integration • Linking data via concept spaces • Domain Model-based integration • Linking data via computational models • E.g., “respatialization”

  4. SDSC Grid-enabled Mediation Services(GeMS) • Registration/Discovery • “Situate” a data source in 4D, topic, and process space. Describe source capability. • Federation/Access • Provide standard interfaces to access data • Define integrated views • Publication • Move data from “private space” to “public space”, or provide a “public view” of private data • Replication / Caching • Allow for replication/caching of data (at different granularities)

  5. Leverage on-going efforts • Open Grid Services Architecture (OGSA) • Data Access and Integration: Grid Database Service (GDS) • IBM Grid Services • E.g., Grid data Movement and Replication • SDSC Storage Resource Broker (SRB)

  6. Result Assembly query Wrapper Replicas Wrapper Wrapper Wrapper Wrapper Wrapper Published Data Private Data Published Data Private Data Published Data Private Data Published Data Private Data Published Data Private Data GeMS Scenario Client • Query-based access • 3rd-party transfer Surf Query Planner Mediator Surf Plan Surf Logical  Physical Query Plan “binding” Wrapper Ontology Service(s)

  7. GeMS Components • Query Planner • Logical Query Plan to Physical Query Plan Resolver • Replica selection • Dealing with failover • QoS…

More Related