Within the realms of workflow management and grid computing, scheduling of distributed services is a central issue. Most schedulers balance time and cost to fit within a client...
Mayo Clinic's Enterprise Data Trust is a collection of data from patient care, education, research, and administrative transactional systems, organized to support information...
Christopher G. Chute, Scott A. Beck, Thomas B. Fis...
We describe the design and implementation of a high performance cloud that we have used to archive, analyze and mine large distributed data sets. By a cloud, we mean an infrastruc...
Abstract. As data volumes processed by large-scale distributed dataintensive applications grow at high-speed, an increasing I/O pressure is put on the underlying storage service, w...
Collaborative visualization of large-scale datasets across geographically distributed sites is becoming increasingly important for Earth Sciences. Not only does it enhance our und...
Nut Taesombut, Xinran (Ryan) Wu, Andrew A. Chien, ...