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Efficient Placement of Decomposable Aggregation Functions for Stream Processing over Large Geo-Distributed Topologies

Summary: NEMO: a resource-aware optimizer for placement and replication of decomposable aggregation functions on volatile, resource-constrained geo-distributed fog/edge topologies. Leverages Euclidean embeddings and heuristics for million-node scale, adaptive constant-time re-optimization, lowering latency (up to 6x) and communication (up to 15x) while preventing node overload. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13393
Venue
VLDB
Year
2024
Pagerank
7.0748084e-05
Overall Rank
3,458 | 75.95%
DOI
10.14778/3648160.3648186

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