Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 2658-2673 |
| Number of pages | 16 |
| Journal | IEEE/ACM Transactions on Networking |
| Volume | 30 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1 Dec 2022 |
Keywords
- Load-balancing
- cloud and distributed computing
- performance evaluation
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