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Introduction to FAIR-TRADE Todd King 1, Raymond Walker 1,2, Lee Bargatze 1, Deborah McGuinness 3, Everett Toews 4, John Shillington 4, Robert Bentley 5,

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Presentation on theme: "Introduction to FAIR-TRADE Todd King 1, Raymond Walker 1,2, Lee Bargatze 1, Deborah McGuinness 3, Everett Toews 4, John Shillington 4, Robert Bentley 5,"— Presentation transcript:

1 Introduction to FAIR-TRADE Todd King 1, Raymond Walker 1,2, Lee Bargatze 1, Deborah McGuinness 3, Everett Toews 4, John Shillington 4, Robert Bentley 5, Tomo Hori 6, Robert Rankin 4,7 1 Institute of Geophysics and Planetary Physics, UCLA 2 Earth and Space Sciences Department, UCLA 3 Dept. of Computer Science and Cognitive Science Department, Rensselaer Polytechnic Institute 4 Cybera, University of Alberta, Edmonton 5 Dept. of Space and Climate Physics, University College London 6 STE laboratory, Nagoya University, Japan 7 Dept. of Physics, University of Alberta Edmonton

2 What is FAIR-TRADE A proposed project to NSF ◦ NSF : Software Infrastructure for Sustained Innovation (SI2) A framework to integrate all resources in a (distributed) research environment. ◦ FAIR: Flexible Application of Informatics in Research An implementation of computational resource sharing ◦ TRADE: Transparent Resource Allocation and Delivery Environment

3 Why FAIR-TRADE? Enable a more resilient, open exchange of data and computational resources. Mitigate the logistically difficulty with federated data storage. Leverage existing computational resources. Abstraction of the entire research enterprise. - Foremost - Transition to an objective oriented model for research.

4 FAIR-TRADE Concepts All resources (data and computation) have unique identifiers Each resource has an appropriate set of attributes. Reasoning is performed to match resources as needed. Example: Apply an application to data. In a FAIR-TRADE system the platform to run the application will be selected based on available resources, volume of data, proximity to user and data, bandwidth, cost and other factors.

5 Data Computation Data Model 1 Data Model 2 Environment 1 Environment 2 FAIR-TRADE Task Conceptual model of the FAIR-TRADE framework showing data from two sources each with a different data model and two computational environments. Tasks are submitted to the FAIR-TRADE framework by users. The framework will locate, retrieve, and join the resources to achieve the prescribed task.

6 Functional View – For Digital Resources Locator: A search engine that can locate resources based on a set of constraints. Returned results always include the unique resource identifier, plus any defined attributes. Resolver: Given a unique resource identifier, locate and retrieve the full complement of metadata associated with the resource. Retriever: Given a unique resource identifier and optionally the desired time span and format, retrieve the digital resource. Registrant: Stores an instance of a resource, which consists of structured metadata that may point to a physical storage location. Returns the unique identifier associated with the resource. Repository: A location for the physical storage of digital resources. Stored resources are accessible by standard protocols such as HTTP, FTP, and secure copy (scp). Analytics: A collection point of metrics from each service. Services will report activities to the service.

7 Functional View – Computational Resources Controller: Initiates tasks by locating the appropriate computational environment, spawns a monitor for the task set, and invokes a launcher for each task. Launcher: Prepare the environment for the initiation of an application, which may include the retrieval and localization of digital resources. Monitor: Provide task supervision and user notification.

8 Function View – Big Picture UserControllerRetrieverMonitorApplication Task Set Initiate Launcher Resource ID Resolver Metadata Registry Register Monitor Resource ID Metadata Publish Run Status Results Post Report

9 Next Steps SPASE is a good starting point for defining models for computational resources. Current Resource Types (Classes) AnnotationNumerical Data CatalogObservatory Display DataPerson DocumentRegistry GranuleRepository InstrumentService Suggestion is to add: ◦ Application ◦ Platform

10 Discussion


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