J
Joseph M. Hellerstein
Researcher at University of California, Berkeley
Publications - 313
Citations - 39413
Joseph M. Hellerstein is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Query optimization & Query language. The author has an hindex of 91, co-authored 300 publications receiving 37800 citations. Previous affiliations of Joseph M. Hellerstein include Carnegie Mellon University & IBM.
Papers
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Proceedings ArticleDOI
Querying at Internet scale
Brent N. Chun,Joseph M. Hellerstein,Ryan Huebsch,Shawn R. Jeffery,Boon Thau Loo,Sam Mardanbeigi,Timothy Roscoe,Sean Rhea,Scott Shenker,Ion Stoica +9 more
TL;DR: PIER enhances DHTs with declarative and algebraic query interfaces, and underneath those interfaces implements multihop, in-network versions of joins, aggregation, recursion, and query/result dissemination.
Book ChapterDOI
Architectures and algorithms for internet-scale (p2p) data management
TL;DR: This chapter presents the architectures and algorithms for Internet-scale peer-to-peer (p2p) data management, which has led to an academic renaissance in the distributed algorithms and distributed systems communities, much of which directly addresses issues in massively distributed data management.
Predicate Migration: Optimizing Queries with
TL;DR: This paper develops a theory for moving expensive predicates in a query plan so that the total cost of the plan--including the costs of both joins and restrictions--is minimal, and presents an algorithm to implement the theory, as well as results of the implementation in POSTGRES.
Journal Article
Efficient and Flexible Information Retrieval using MonetDB/X100
Journal Article
Efficient Analysis of Live and Historical Streaming Data and its Application to Cybersecurity
TL;DR: This paper describes the prototype system based on the TelegraphCQ streaming query processor and the FastBit bitmap index and demonstrates that the index update operations are sufficiently efficient for this bottleneck to be removed.