An approach to extend process monitoring with the help of information agents (IA) handling semantic data is presented in this paper. According to this approach, an operator of a pr...
Teppo Pirttioja, Ilkka Seilonen, Antti Pakonen, Aa...
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Replicating data objects onto servers across a system can alleviate access delays. The selection of data objects and servers requires solving a constraint optimization problem, wh...
We present a replication-based approach to fault-tolerant distributed stream processing in the face of node failures, network failures, and network partitions. Our approach aims t...
Magdalena Balazinska, Hari Balakrishnan, Samuel Ma...
In this paper, we present a novel architecture to support large scale stream processing services in a widely distributed environment. The proposed system, COSMOS, distinguishes it...
Yongluan Zhou, Karl Aberer, Ali Salehi, Kian-Lee T...