Database Paper Browser

Back to papers

Husky: Towards a More Efficient and Expressive Distributed Computing Framework

Summary: Husky is an open-source, in-memory distributed framework that seeks expressive APIs and high performance for data-parallel work. It bridges and re-implements frameworks inside Husky, enabling comparable or better performance with lower development cost. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11333
Venue
VLDB
Year
2016
Pagerank
6.4364588e-05
Overall Rank
4,120 | 71.34%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers