In distributed stream processing environments, large numbers of continuous queries are distributed onto multiple servers. When one or more of these servers become overloaded due t...
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...
We consider the problem of query optimization in distributed stream based systems where multiple continuous queries may be executing simultaneously. In such systems, distribution ...
Sangeetha Seshadri, Vibhore Kumar, Brian F. Cooper
StreamMine is a scalable middleware for massive real-time data streaming. In this paper we present the BFSiena: a communication substrate for the StreamMine. BFSiena is a content-...
Forecasting future events based on historic data is useful in many domains like system management, adaptive query processing, environmental monitoring, and financial planning. We...