Google Research has developed new algorithms to maximize job throughput on cloud infrastructure with fluctuating capacity. These algorithms address the challenge of scheduling non-preemptive jobs, where interruptions lead to complete loss of progress. The research, presented at SPAA 2025, provides the first constant-factor approximation algorithms for maximizing throughput in dynamic environments, offering a theoretical basis for more resilient cloud schedulers. AI
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RANK_REASON Academic paper presenting new algorithms for a specific technical problem.
