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Cache-aware load balancing of data center applications

Summary: Cache-aware load balancing for data-center apps uses per-replica RAM caches and a weighted vote to route whole queries to a single replica, increasing cache hits and throughput. A scalable pipeline builds a term-query graph from logs, partitions terms to replicas with distributed graph partitioning, and refines weights via cache simulation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11999
Venue
VLDB
Year
2019
Pagerank
5.3738886e-05
Overall Rank
9,145 | 36.45%
DOI
10.14778/3311880.3311887

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
5,070 Efficient Streaming Subgraph Isomorphism with Graph Neural Networks 2021 VLDB 6.4436438e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
3 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0012294368
5,202 Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner 2017 VLDB 6.3892053e-05
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