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Sam Mardanbeigi

dblp:59/6872 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Distributed and cloud data management · 100%
Computer networks
1 paper
Network management and operations · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed and cloud data management › distributed data structures
distributed hash table
0.012004
Querying at Internet-Scale · SIGMOD Conference 2004
Distributed and cloud data management
distributed query processing
0.012004
Querying at Internet-Scale · SIGMOD Conference 2004
Network management and operations
network monitoring
0.012004
Querying at Internet-Scale · SIGMOD Conference 2004

Methods — techniques the papers use, named apart from their topics

multihop in-network joins · 0.1in-network recursion · 0.1in-network aggregation · 0.1
YearPublicationVenuePosition
2004 Querying at Internet-Scale
abstract
We are developing a distributed query processor called PIER, which is designed to run on the scale of the entire Internet. PIER utilizes a Distributed Hash Table (DHT) as its communication substrate in order to achieve scalability, reliability, decentralized control, and load balancing. 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. PIER is currently being used for diverse applications, including network monitoring, keyword-based filesharing search, and network topology mapping. We will demonstrate PIER's functionality by showing system monitoring queries running on PlanetLab, a testbed of over 300 machines distributed across the globe.
Brent N. Chun, Joseph M. Hellerstein, Ryan Huebsch, Shawn R. Jeffery, Boon Thau Loo, Sam Mardanbeigi, Timothy Roscoe, Sean C. Rhea, Scott Shenker, Ion Stoica
SIGMOD Conference6