Reagan Moore - Academia.edu (original) (raw)
Papers by Reagan Moore
Encyclopedia of Database Systems, 2009
Bookmarks Related papers MentionsView impact
Encyclopedia of Database Systems, 2009
Bookmarks Related papers MentionsView impact
Springer eBooks, 2017
Bookmarks Related papers MentionsView impact
Springer eBooks, 2017
Bookmarks Related papers MentionsView impact
Archiving, 2011
Bookmarks Related papers MentionsView impact
Springer eBooks, 2017
Bookmarks Related papers MentionsView impact
Springer eBooks, 2017
Bookmarks Related papers MentionsView impact
iPRES, 2015
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Synthesis lectures on information concepts, retrieval, and services, Sep 11, 2016
Bookmarks Related papers MentionsView impact
Springer eBooks, 2017
Bookmarks Related papers MentionsView impact
Springer eBooks, 2017
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Springer eBooks, 2013
The DataNet Federation Consortium (DFC) is developing data grids for multidisciplinary research. ... more The DataNet Federation Consortium (DFC) is developing data grids for multidisciplinary research. As the DFC grid grows in size and number of disciplines, it becomes critical to address metadata management and findability challenges. The HIVE project is being integrated into the iRODS in the DFC architecture to provide a scaleable linked open data approach to scientific data sharing.
Bookmarks Related papers MentionsView impact
Earth and Space Science, 2016
Many geoscience disciplines utilize complex computational models for advancing understanding and ... more Many geoscience disciplines utilize complex computational models for advancing understanding and sustainable management of Earth systems. Executing such models and their associated data preprocessing and postprocessing routines can be challenging for a number of reasons including (1) accessing and preprocessing the large volume and variety of data required by the model, (2) postprocessing large data collections generated by the model, and (3) orchestrating data processing tools, each with unique software dependencies, into workflows that can be easily reproduced and reused. To address these challenges, the work reported in this paper leverages the Workflow Structured Object functionality of the Integrated Rule‐Oriented Data System and demonstrates how it can be used to access distributed data, encapsulate hydrologic data processing as workflows, and federate with other community‐driven cyberinfrastructure systems. The approach is demonstrated for a study investigating the impact of ...
Bookmarks Related papers MentionsView impact
Advances in Systems Analysis, Software Engineering, and High Performance Computing
Service-oriented architectures (SOA) enable orchestration of loosely-coupled and interoperable fu... more Service-oriented architectures (SOA) enable orchestration of loosely-coupled and interoperable functional software units to develop and execute complex but agile applications. Data management on a distributed data grid can be viewed as a set of operations that are performed across all stages in the life-cycle of a data object. The set of such operations depends on the type of objects, based on their physical and discipline-centric characteristics. In this chapter, the authors define server-side functions, called micro-services, which are orchestrated into conditional workflows for achieving large-scale data management specific to collections of data. Micro-services communicate with each other using parameter exchange, in memory data structures, a database-based persistent information store, and a network messaging system that uses a serialization protocol for communicating with remote micro-services. The orchestration of the workflow is done by a distributed rule engine that chains ...
Bookmarks Related papers MentionsView impact
2010 IEEE International Geoscience and Remote Sensing Symposium, 2010
Bookmarks Related papers MentionsView impact
Proc. of Intelligent Event Processing AAAI …, 2009
Data Grids are used for managing massive amounts of data (Peta scale) that are distributed across... more Data Grids are used for managing massive amounts of data (Peta scale) that are distributed across heterogeneous storage systems. As such they are complex in nature and deal with multiple operations in the life-cycle of a data set from creation to usage to ...
Bookmarks Related papers MentionsView impact
Proceedings of the 1st ACM International Workshop on Programmable file systems, 2014
ABSTRACT In the practice of data management, different user communities often use different forms... more ABSTRACT In the practice of data management, different user communities often use different forms of data and metadata, support different operations, and implement different policies. For example, forms of data include blocks, tuples, streams, time series, and so forth, while forms of metadata include different vocabularies, schemas, and namespaces. In addition, the forms of data and metadata often change over time. The diverse and emergent nature of these requirements pose to data management systems a challenge which traditional file systems with fixed functionality have become inadequate to address. Extensible file systems can be built via policy-based data management. We describe the practical and theoretical aspects of policy-based data management and provide a wide range of examples of prototypical and production applications of the integrated Rule-Oriented Data System (iRODS) in data grids that apply this type of file system.
Bookmarks Related papers MentionsView impact
Encyclopedia of Database Systems, 2009
Bookmarks Related papers MentionsView impact
Encyclopedia of Database Systems, 2009
Bookmarks Related papers MentionsView impact
Springer eBooks, 2017
Bookmarks Related papers MentionsView impact
Springer eBooks, 2017
Bookmarks Related papers MentionsView impact
Archiving, 2011
Bookmarks Related papers MentionsView impact
Springer eBooks, 2017
Bookmarks Related papers MentionsView impact
Springer eBooks, 2017
Bookmarks Related papers MentionsView impact
iPRES, 2015
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Synthesis lectures on information concepts, retrieval, and services, Sep 11, 2016
Bookmarks Related papers MentionsView impact
Springer eBooks, 2017
Bookmarks Related papers MentionsView impact
Springer eBooks, 2017
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Springer eBooks, 2013
The DataNet Federation Consortium (DFC) is developing data grids for multidisciplinary research. ... more The DataNet Federation Consortium (DFC) is developing data grids for multidisciplinary research. As the DFC grid grows in size and number of disciplines, it becomes critical to address metadata management and findability challenges. The HIVE project is being integrated into the iRODS in the DFC architecture to provide a scaleable linked open data approach to scientific data sharing.
Bookmarks Related papers MentionsView impact
Earth and Space Science, 2016
Many geoscience disciplines utilize complex computational models for advancing understanding and ... more Many geoscience disciplines utilize complex computational models for advancing understanding and sustainable management of Earth systems. Executing such models and their associated data preprocessing and postprocessing routines can be challenging for a number of reasons including (1) accessing and preprocessing the large volume and variety of data required by the model, (2) postprocessing large data collections generated by the model, and (3) orchestrating data processing tools, each with unique software dependencies, into workflows that can be easily reproduced and reused. To address these challenges, the work reported in this paper leverages the Workflow Structured Object functionality of the Integrated Rule‐Oriented Data System and demonstrates how it can be used to access distributed data, encapsulate hydrologic data processing as workflows, and federate with other community‐driven cyberinfrastructure systems. The approach is demonstrated for a study investigating the impact of ...
Bookmarks Related papers MentionsView impact
Advances in Systems Analysis, Software Engineering, and High Performance Computing
Service-oriented architectures (SOA) enable orchestration of loosely-coupled and interoperable fu... more Service-oriented architectures (SOA) enable orchestration of loosely-coupled and interoperable functional software units to develop and execute complex but agile applications. Data management on a distributed data grid can be viewed as a set of operations that are performed across all stages in the life-cycle of a data object. The set of such operations depends on the type of objects, based on their physical and discipline-centric characteristics. In this chapter, the authors define server-side functions, called micro-services, which are orchestrated into conditional workflows for achieving large-scale data management specific to collections of data. Micro-services communicate with each other using parameter exchange, in memory data structures, a database-based persistent information store, and a network messaging system that uses a serialization protocol for communicating with remote micro-services. The orchestration of the workflow is done by a distributed rule engine that chains ...
Bookmarks Related papers MentionsView impact
2010 IEEE International Geoscience and Remote Sensing Symposium, 2010
Bookmarks Related papers MentionsView impact
Proc. of Intelligent Event Processing AAAI …, 2009
Data Grids are used for managing massive amounts of data (Peta scale) that are distributed across... more Data Grids are used for managing massive amounts of data (Peta scale) that are distributed across heterogeneous storage systems. As such they are complex in nature and deal with multiple operations in the life-cycle of a data set from creation to usage to ...
Bookmarks Related papers MentionsView impact
Proceedings of the 1st ACM International Workshop on Programmable file systems, 2014
ABSTRACT In the practice of data management, different user communities often use different forms... more ABSTRACT In the practice of data management, different user communities often use different forms of data and metadata, support different operations, and implement different policies. For example, forms of data include blocks, tuples, streams, time series, and so forth, while forms of metadata include different vocabularies, schemas, and namespaces. In addition, the forms of data and metadata often change over time. The diverse and emergent nature of these requirements pose to data management systems a challenge which traditional file systems with fixed functionality have become inadequate to address. Extensible file systems can be built via policy-based data management. We describe the practical and theoretical aspects of policy-based data management and provide a wide range of examples of prototypical and production applications of the integrated Rule-Oriented Data System (iRODS) in data grids that apply this type of file system.
Bookmarks Related papers MentionsView impact