Our research focuses on creating and executing large-scale scientific workflows that often involve thousands of computations over distributed, shared resources. We describe an app...
Jihie Kim, Ewa Deelman, Yolanda Gil, Gaurang Mehta...
We propose a scalable and efficient parameterized block-based statistical static timing analysis algorithm incorporating both Gaussian and non-Gaussian parameter distributions, ca...
Geographic techniques promise highly scalable any-toany routing in wireless sensor networks. In one thread of research on geographic routing, researchers have explored robust, dis...
Young-Jin Kim, Ramesh Govindan, Brad Karp, Scott S...
Abstract. Recent research efforts in the fields of data stream processing and data stream management systems (DSMSs) show the increasing importance of processing data streams, e. g...
Efficient data management is a key component in achieving good performance for scientific workflows in distributed environments. Workflow applications typically communicate data be...