Journal
IEEE-ACM TRANSACTIONS ON NETWORKING
Volume 30, Issue 6, Pages 2658-2673Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNET.2022.3177163
Keywords
Servers; Load management; Load modeling; Quality of service; IEEE transactions; Delays; Throughput; Load-balancing; cloud and distributed computing; performance evaluation
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Funding
- Cisco Endowed Internet Technologies and Engineering Chaire at Ecole Polytechnique
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This paper proposes a distributed, application-agnostic Hybrid Load Balancer (HLB) that infers server occupancies and processing speeds to make optimized workload placement decisions. The approach achieves significant performance gains compared to existing load-balancing algorithms in terms of response time and system utilization.
The purpose of network load balancers is to optimize quality of service to the users of a set of servers - basically, to improve response times and to reducing computing resources - by properly distributing workloads. This paper proposes a distributed, application-agnostic, Hybrid Load Balancer (HLB) that - without explicit monitoring or signaling - infers server occupancies and processing speeds, which allows making optimised workload placement decisions. This approach is evaluated both through simulations and extensive experiments, including synthetic workloads and Wikipedia replays on a real-world testbed. Results show significant performance gains, in terms of both response time and system utilisation, when compared to existing load-balancing algorithms.
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