HALO: Report and Predicted Response Times
Matthew Swisher
TL;DR
HALO introduces heterogeneity-aware load balancers that detect server differences in speed and cores, accurately predicting response times in cluster systems with diverse hardware configurations.
Contribution
The paper presents a novel class of load balancers that adapt to server heterogeneity, improving response time prediction and load distribution in heterogeneous clusters.
Findings
Response times are accurately calculated for heterogeneous systems.
Heterogeneity-aware load balancers outperform traditional methods.
Effective detection of server speed and core differences.
Abstract
HALO: Heterogeneity-Aware Load Balancing is a paper that proposes a class of heterogeneity-aware Load Balancers (LBs) for cluster systems. LBs that are heterogeneity-aware are able to detect when servers differ in speeds and in number of cores. Response times for heterogeneous systems are calculated and presented.
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Taxonomy
TopicsCloud Computing and Resource Management · Distributed and Parallel Computing Systems · IoT and Edge/Fog Computing