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Optimizing Multiple Queries on Scientific Datasets with Partial Umit Catalyurek
 

Summary: Optimizing Multiple Queries on Scientific Datasets with Partial
Replicas
Li Weng
Umit Catalyurek
Tahsin Kurc
Gagan Agrawal
Joel Saltz

Department of Computer Science and Engineering

Department of Biomedical Informatics
Ohio State University, Columbus OH 43210
Abstract
We propose strategies to efficiently execute a query work-
load, which consists of multiple related queries submitted
against a scientific dataset, on a distributed-memory system
in the presence of partial dataset replicas. Partial replica-
tion re-organizes and re-distributes one or more subsets of
a dataset across the storage system to reduce I/O overheads
and increase I/O parallelism. Our work targets a class of

  

Source: Agrawal, Gagan - Department of Computer Science and Engineering, Ohio State University

 

Collections: Computer Technologies and Information Sciences