Parallel I/O plays an increasingly important role in today’s data intensive computing applications. While much attention has been paid to parallel read performance, most of this...
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...
A fundamental problem in data management is to draw and maintain a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With la...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang
The peer-to-peer approach to design large-scale systems has significant benefits including scalability, low cost of ownership, robustness, and ability to provide site autonomy. ...
In this paper we focus on the problem of making short and medium term forecasts of CPU availability on timeshared Unix systems. We evaluate the accuracy with which availability ca...