Hibernate in Action (In Action series)
Hibernate in Action (In Action series)
Distributed computing in practice: the Condor experience: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
A taxonomy of market-based resource management systems for utility-driven cluster computing
Software—Practice & Experience
MongoDB: The Definitive Guide
A co-Relational Model of Data for Large Shared Data Banks
Queue - Programming Languages
Exploring similarities among many species distributions
Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond
The parallel system for integrating impact models and sectors (pSIMS)
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
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The iPlant Collaborative is an NSF-funded cyberinfrastructure (CI) effort directed towards the plant sciences community. This paper enumerates the key concepts, middleware, tools, and extensions that create the unique capabilities of the iPlant Discovery Environment (DE) that provide access to our CI. The DE is a rich web-based application that brings flexible CI capabilities to a wide audience affiliated with the plant sciences, from computational biologists, bioinformaticians, applications developers, to bench biologists. The inherent interdisciplinary nature of plant sciences research produces diverse and complex data products that range from molecular sequences to satellite imagery as part of the discovery life cycle. With the constant creation of novel analysis algorithms, the advent and spread of large data repositories, and the need for collaborative data analysis, marshaling resources to effectively utilize these capabilities necessitates a highly flexible and scalable approach for implementing underlying CI. The iPlant infrastructure simultaneously supports multiple interdisciplinary projects providing essential features found in traditional science gateways as well as highly customized direct access to its underlying frameworks through use of APIs (Application Programming Interfaces). This allows the community to develop de novo applications. This approach allows us to serve broad community needs while providing flexible, secure, and creative utilization of our platform that is based on best practices and that leverages established computational resources.