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DSN
2008
IEEE
13 years 11 months ago
Hot-spot prediction and alleviation in distributed stream processing applications
Many emerging distributed applications require the realtime processing of large amounts of data that are being updated continuously. Distributed stream processing systems offer a ...
Thomas Repantis, Vana Kalogeraki
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 6 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
DEBS
2010
ACM
13 years 7 months ago
Workload characterization for operator-based distributed stream processing applications
Operator-based programming languages provide an effective development model for large scale stream processing applications. A stream processing application consists of many runtim...
Xiaolan J. Zhang, Sujay Parekh, Bugra Gedik, Henri...
ICDCS
2008
IEEE
13 years 11 months ago
Toward Predictive Failure Management for Distributed Stream Processing Systems
Distributed stream processing systems (DSPSs) have many important applications such as sensor data analysis, network security, and business intelligence. Failure management is ess...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...
ISORC
2008
IEEE
13 years 11 months ago
QoS Aware Dependable Distributed Stream Processing
In this paper we describe our approach for developing a QoS-aware, dependable execution environment for large-scale distributed stream processing applications. Distributed stream ...
Vana Kalogeraki, Dimitrios Gunopulos, Ravi S. Sand...