Join-Up-To(m): improved hyperscalable load balancing
Author:
Funder
FWO
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Management Science and Operations Research,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11134-023-09897-5.pdf
Reference19 articles.
1. Lu, Y., Xie, Q., Kliot, G., Geller, A., Larus, J.R., Greenberg, A.: Join-idle-queue: a novel load balancing algorithm for dynamically scalable web services. Perform. Eval. 68, 1056–1071 (2011). https://doi.org/10.1016/j.peva.2011.07.015
2. Stolyar, A.L.: Pull-based load distribution in large-scale heterogeneous service systems. Queueing Syst. 80(4), 341–361 (2015). https://doi.org/10.1007/s11134-015-9448-8
3. Anselmi, J.: Combining size-based load balancing with round-robin for scalable low latency. IEEE Trans. Parallel Distrib. Syst. 31(4), 886–896 (2020). https://doi.org/10.1109/TPDS.2019.2950621
4. Van der Boor, M., Zubeldia, M., Borst, S.: Zero-wait load balancing with sparse messaging. Oper. Res. Lett. 48(3), 368–375 (2020). https://doi.org/10.1016/j.orl.2020.04.006
5. Gamarnik, D., Tsitsiklis, J.N., Zubeldia, M.: Delay, memory, and messaging tradeoffs in distributed service systems. ACM SIGMETRICS Perf. Evaluat. Rev. 44(1), 1–12 (2016). https://doi.org/10.1287/stsy.2017.0008
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