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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
11998
Venue
VLDB
Year
2019
Pagerank
4.3891679e-05
Overall Rank
9,134 | 36.46%
DOI
10.14778/3311880.3311887

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Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
5,521 Efficient Streaming Subgraph Isomorphism with Graph Neural Networks 2021 VLDB 5.4614637e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
4 Pregel: A System for Large-Scale Graph Processing 2010 SIGMOD 0.0019005923
4,895 Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner 2017 VLDB 5.8476644e-05
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