This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
The complexity of parallel I/O systems lies in the deep I/O stack with many software layers and concurrent I/O request handling at multiple layers. This paper explores multi-layer...
Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of biological classification problems. However, the proc...
Stochastic modeling forms the basis for analysis in many areas, including biological and economic systems, as well as the performance and reliability modeling of computers and comm...
We introduce a new model for distributed algorithms designed for large scale systems that need a low-overhead solution to allow the processes to communicate with each other. We as...