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Pixida: Optimizing Data Parallel Jobs in Wide-Area Data Analytics

Summary: Pixida minimizes cross-DC data movement for data-parallel analytics; SILO reframes scheduling as graph partitioning. New partitioning formulation and algorithm, tuned for big-data jobs, integrated with Spark; traffic on inter-DC links reduced up to 9x. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11360
Venue
VLDB
Year
2016
Pagerank
5.2059441e-05
Overall Rank
6,109 | 57.51%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
5,185 Yugong: Geo-Distributed Data and Job Placement at Scale 2019 VLDB 5.6405374e-05
11,338 AutoMon: Automatic Distributed Monitoring for Arbitrary Multivariate Functions 2022 SIGMOD 4.1945683e-05
11,849 The Challenges of Global-scale Data Management 2016 SIGMOD 4.1945683e-05
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Showing 5 of 5 cited papers.

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

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