Co-located Spark instances using TeraHeap show up to 59% better effective CPU utilization and can fit more instances per server, while Giraph shows smaller and less consistent benefits.
Per- formance characterization of spark workloads on shared numa systems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Analysis of Server Throughput For Managed Big Data Analytics Frameworks
Co-located Spark instances using TeraHeap show up to 59% better effective CPU utilization and can fit more instances per server, while Giraph shows smaller and less consistent benefits.