Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
Existing languages provide good support for typeful programming of standalone programs. In a distributed system, however, there may be interaction between multiple instances of ma...
Peter Sewell, James J. Leifer, Keith Wansbrough, F...
A common approach for dealing with large data sets is to stream over the input in one pass, and perform computations using sublinear resources. For truly massive data sets, howeve...
Jon Feldman, S. Muthukrishnan, Anastasios Sidiropo...
This paper introduces a novel technique which leverages value prediction and multithreading on a simultaneous multithreading processor to achieve higher performance in a single th...
Computational grids can integrate geographically distributed resources into a seamless environment. To facilitate managing these heterogenous resources, the virtual machine gy pro...