Vladislav Shkapenyuk, Ph.D.

Affiliations: 
2007 Rutgers University, New Brunswick, New Brunswick, NJ, United States 
Area:
Computer Science
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"Vladislav Shkapenyuk"

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Shanmugavelayutham Muthukrishnan grad student 2007 Rutgers, New Brunswick
 (Scalable and robust stream processing.)
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Publications

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Golab L, Johnson T, Shkapenyuk V. (2012) Scalable scheduling of updates in streaming data warehouses Ieee Transactions On Knowledge and Data Engineering. 24: 1092-1105
Shkapenyuk V, Johnson T, Srivastava D. (2011) Bistro data feed management system Proceedings of the Acm Sigmod International Conference On Management of Data. 1059-1070
Johnson T, Shkapenyuk V. (2011) Update propagation in a streaming warehouse Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6809: 129-149
Srivastava D, Golab L, Greer R, et al. (2010) Enabling real time data analysis Proceedings of the Vldb Endowment. 3: 1-2
Golab L, Johnson T, Spencer Seidel J, et al. (2009) Stream warehousing with DataDepot Sigmod-Pods'09 - Proceedings of the International Conference On Management of Data and 28th Symposium On Principles of Database Systems. 847-853
Cormode G, Shkapenyuk V, Srivastava D, et al. (2009) Forward decay: A practical time decay model for streaming systems Proceedings - International Conference On Data Engineering. 138-149
Golab L, Johnson T, Shkapenyuk V. (2009) Scheduling updates in a real-time stream warehouse Proceedings - International Conference On Data Engineering. 1207-1210
Johnson T, Muthukrishnan S, Shkapenyuk V, et al. (2008) Query-aware partitioning for monitoring massive network data streams Proceedings of the Acm Sigmod International Conference On Management of Data. 1135-1146
Li J, Tufte K, Shkapenyuk V, et al. (2008) Out-of-order processing: A new architecture for high-performance stream systems Proceedings of the Vldb Endowment. 1: 274-288
Johnson T, Muthukrishnan S, Shkapenyuk V, et al. (2007) Query-aware sampling for data streams Proceedings - International Conference On Data Engineering. 664-673
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