Search Results - "ZDONIK, Stan"

Aurora: a new model and architecture for data stream management by ABADI, Daniel J, CARNEY, Don, CETINTEMEL, Ugur, CHERNIACK, Mitch, CONVEY, Christian, SANGDON LEE, STONEBRAKER, Michael, TATBUL, Nesime, ZDONIK, Stan

“…This paper describes the basic processing model and architecture of Aurora, a new system to manage data streams for monitoring applications. Monitoring…”
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Fast, Secure Encryption for Indexing in a Column-Oriented DBMS by Tingjian Ge, Zdonik, S.

“…Networked information systems require strong security guarantees because of the new threats that they face. Various forms of encryption have been proposed to…”
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A Cooperative, Self-Configuring High-Availability Solution for Stream Processing by Jeong-Hyon Hwang, Ying Xing, Cetintemel, U., Zdonik, S.

“…We present a collaborative, self-configuring high availability (HA) approach for stream processing that enables low-latency failure recovery while incurring…”
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Fast and Highly-Available Stream Processing over Wide Area Networks by Jeong-Hyon Hwang, Cetintemel, U., Zdonik, S.

“…We present a replication-based approach that realizes both fast and highly-available stream processing over wide area networks. In our approach, multiple…”
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Fast and Reliable Stream Processing over Wide Area Networks by Jeong-Hyon Hwang, Cetintemel, U., Zdonik, S.

“…We present a replication-based approach that enables both fast and reliable stream processing over wide area networks. Our approach replicates stream…”
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Dynamic load distribution in the Borealis stream processor by Xing, Y., Zdonik, S., Hwang, J.-H.

“…Distributed and parallel computing environments are becoming cheap and commonplace. The availability of large numbers of CPU's makes it possible to process…”
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Retrospective on Aurora by Balakrishnan, Hari, Balazinska, Magdalena, Carney, Don, etintemel, U?ur, Cherniack, Mitch, Convey, Christian, Galvez, Eddie, Salz, Jon, Stonebraker, Michael, Tatbul, Nesime, Tibbetts, Richard, Zdonik, Stan

“…This experience paper summarizes the key lessons we learned throughout the design and implementation of the Aurora stream-processing engine. For the past 2…”
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High-availability algorithms for distributed stream processing by Hwang, J.-H., Balazinska, M., Rasin, A., Cetintemel, U., Stonebraker, M., Zdonik, S.

“…Stream-processing systems are designed to support an emerging class of applications that require sophisticated and timely processing of high-volume data…”
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Handling Uncertain Data in Array Database Systems by Tingjian Ge, Zdonik, S.

“…Scientific and intelligence applications have special data handling needs. In these settings, data does not fit the standard model of short coded records that…”
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Monte Carlo query processing of uncertain multidimensional array data by Tingjian Ge, Grabiner, D, Zdonik, S

“…Array database systems are architected for scientific and engineering applications. In these applications, the value of a cell is often imprecise and…”
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Expressing user profiles for data recharging by Cherniack, M., Franklin, M.J., Zdonik, S.

“…Mobile devices need two basic renewable resources - power and data. Power recharging is easy; data recharging is a much more problematic activity. It requires…”
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Revision Processing in a Stream Processing Engine: A High-Level Design by Ryvkina, E., Maskey, A.S., Cherniack, M., Zdonik, S.

“…Data stream processing systems have become ubiquitous in academic [1, 2, 5, 6] and commercial [11] sectors, with application areas that include financial…”
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Light-Weight, Runtime Verification of Query Sources by Tingjian Ge, Zdonik, S.

“…Modern database systems increasingly make use of networked storage. This storage can be in the form of SAN's or in the form of shared-nothing nodes in a…”
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Precision and Recall for Time Series by Tatbul, Nesime, Lee, Tae Jun, Zdonik, Stan, Alam, Mejbah, Gottschlich, Justin

“…Classical anomaly detection is principally concerned with point-based anomalies, those anomalies that occur at a single point in time. Yet, many real-world…”
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Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection by Lee, Tae Jun, Gottschlich, Justin, Tatbul, Nesime, Metcalf, Eric, Zdonik, Stan

“…This short paper describes our ongoing research on Greenhouse - a zero-positive machine learning system for time-series anomaly detection…”
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Precision and Recall for Range-Based Anomaly Detection by Lee, Tae Jun, Gottschlich, Justin, Tatbul, Nesime, Metcalf, Eric, Zdonik, Stan

“…Classical anomaly detection is principally concerned with point-based anomalies, anomalies that occur at a single data point. In this paper, we present a new…”
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Integrating real-time and batch processing in a polystore by Meehan, John, Zdonik, Stan, Shaobo Tian, Yulong Tian, Tatbul, Nesime, Dziedzic, Adam, Elmore, Aaron

“…This paper describes a stream processing engine called S-Store and its role in the BigDAWG polystore. Fundamentally, S-Store acts as a frontend processor that…”
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Retrospective on Aurora: Data stream processing by BALAKRISHNAN, Hari, BALAZINSKA, Magdalena, TIBBETTS, Richard, ZDONIK, Stan, CARNEY, Don, CETINTEMEL, Ugur, CHERNIACK, Mitch, CONVEY, Christian, GALVEZ, Eddie, SALZ, Jon, STONEBRAKER, Michael, TATBUL, Nesime

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Tupleware: Redefining Modern Analytics by Crotty, Andrew, Galakatos, Alex, Dursun, Kayhan, Kraska, Tim, Cetintemel, Ugur, Zdonik, Stan

“…There is a fundamental discrepancy between the targeted and actual users of current analytics frameworks. Most systems are designed for the data and…”
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S-Store: Streaming Meets Transaction Processing by Meehan, John, Tatbul, Nesime, Zdonik, Stan, Aslantas, Cansu, Cetintemel, Ugur, Du, Jiang, Kraska, Tim, Madden, Samuel, Maier, David, Pavlo, Andrew, Stonebraker, Michael, Tufte, Kristin, Wang, Hao

“…Stream processing addresses the needs of real-time applications. Transaction processing addresses the coordination and safety of short atomic computations…”
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