M
Magdalena Balazinska
Researcher at University of Washington
Publications - 183
Citations - 12840
Magdalena Balazinska is an academic researcher from University of Washington. The author has contributed to research in topics: Data management & Analytics. The author has an hindex of 55, co-authored 171 publications receiving 12143 citations. Previous affiliations of Magdalena Balazinska include Washington University in St. Louis & Massachusetts Institute of Technology.
Papers
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Proceedings Article
The Design of the Borealis Stream Processing Engine
Daniel J. Abadi,Yanif Ahmad,Magdalena Balazinska,Mitch Cherniack,Jeong-Hyon Hwang,Wolfgang Lindner,Anurag S. Maskey,Alexander Rasin,Esther Ryvkina,Nesime Tatbul,Ying Xing,Stan Zdonik +11 more
TL;DR: This paper outlines the basic design and functionality of Borealis, and presents a highly flexible and scalable QoS-based optimization model that operates across server and sensor networks and a new fault-tolerance model with flexible consistency-availability trade-offs.
Journal ArticleDOI
HaLoop: efficient iterative data processing on large clusters
TL;DR: HaLoop is presented, a modified version of the Hadoop MapReduce framework that is designed to serve iterative applications and dramatically improves their efficiency by making the task scheduler loop-aware and by adding various caching mechanisms.
Journal ArticleDOI
Building the Internet of Things Using RFID: The RFID Ecosystem Experience
Evan Welbourne,Leilani Battle,Garret Cole,K. Gould,Kyle Rector,S. Raymer,Magdalena Balazinska,Gaetano Borriello +7 more
TL;DR: A suite of Web-based, user-level tools and applications designed to empower users by facilitating their understanding, management, and control of personal RFID data and privacy settings are developed.
Proceedings Article
Scalable Distributed Stream Processing
TL;DR: The architectural challenges facing the design of large-scale distributed stream processing systems are described, and novel approaches for addressing load management, high availability, and federated operation issues are discussed.
Proceedings ArticleDOI
Characterizing mobility and network usage in a corporate wireless local-area network
Magdalena Balazinska,Paul Castro +1 more
TL;DR: This paper studies user mobility patterns and introduces new metrics to model user mobility and finds that average user transfer-rates follow a power law, and models user mobility with persistence and prevalence find that the probability distributions of both measures follow power laws.