Brief Announcement: Load Balancing with Duration Predictions

We study the classic fully dynamic load balancing problem on unrelated machines where jobs arrive and depart over time and the goal is minimizing the maximum load, or more generally the ℓp-norm of the load vector. Previous work either studied the clairvoyant setting in which exact durations are known to the algorithm, or the unknown duration setting in which no information on the duration is given to the algorithm. For the clairvoyant setting algorithms with polylogarithmic competitive ratios were designed, while for the unknown duration setting strong lower bounds exist and only polynomial competitive factors are possible.

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Published
2025-07-16
DOI
https://doi.org/10.1145/3694906.3743323
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Brief Announcement: Load Balancing with Duration Predictions

Niv Buchbinder, Yossi Azar, Tomer Epshtein
Scheduling and Optimization Algorithms
article

Brief Announcement: Load Balancing with Duration Predictions

Niv Buchbinder, Yossi Azar, Tomer Epshtein
article en

Abstract

We study the classic fully dynamic load balancing problem on unrelated machines where jobs arrive and depart over time and the goal is minimizing the maximum load, or more generally the ℓp-norm of the load vector. Previous work either studied the clairvoyant setting in which exact durations are known to the algorithm, or the unknown duration setting in which no information on the duration is given to the algorithm. For the clairvoyant setting algorithms with polylogarithmic competitive ratios were designed, while for the unknown duration setting strong lower bounds exist and only polynomial competitive factors are possible.

Tel Aviv University (IL)
Israel Science Foundation
Openalex Percentile: Top 75%
Scheduling and Optimization Algorithms
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