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New algorithm tackles scheduling in parallel-server queues

By PulseAugur Editorial · [1 sources] ·

This research paper introduces a novel scheduling algorithm designed for multi-class, parallel-server queuing systems. The algorithm addresses the challenge of balancing reward maximization with queue stability, a critical factor for network system applications. It employs a weighted proportional fair criterion combined with marginal costs and a specialized bandit algorithm for bilinear rewards, offering a tradeoff between regret and queue length. AI

IMPACT This research could improve resource allocation and efficiency in network systems by optimizing job scheduling.

RANK_REASON The item is an academic paper on arXiv detailing a new algorithm. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New algorithm tackles scheduling in parallel-server queues

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The item is an academic paper on arXiv detailing a new algorithm. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Jung-hun Kim, Milan Vojnovic ·

    Learning to Schedule in Parallel-Server Queues with Stochastic Bilinear Rewards

    arXiv:2112.06362v5 Announce Type: replace Abstract: We consider the problem of scheduling in multi-class, parallel-server queuing systems with uncertain rewards from job-server assignments. In this scenario, jobs incur holding costs while awaiting completion, and job-server assig…

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