Alexey Tumanov

TL;DR: Analysis of the first publicly available trace data from a sizable multi-purpose cluster finds that many longer-running jobs have relatively stable resource utilizations, which can help adaptive resource schedulers.

TL;DR: Ray as mentioned in this paper is a distributed system that implements a unified interface that can express both task-parallel and actor-based computations, supported by a single dynamic execution engine and employs a distributed scheduler and a distributed and fault-tolerant store to manage the control state.

TL;DR: Morpheus is a new system that codifies implicit user expectations as explicit Service Level Objectives (SLOs) inferred from historical data, enforces SLOs using novel scheduling techniques that isolate jobs from sharing-induced performance variability, and mitigates inherent performance variance by means of dynamic reprovisioning of jobs.

TL;DR: This paper addresses critical gaps in first-generation serverless computing, which place its autoscaling potential at odds with dominant trends in modern computing: notably data-centric and distributed computing, but also open source and custom hardware.

TL;DR: TetriSched is a scheduler that works in tandem with a calendaring reservation system to continuously re-evaluate the immediate-term scheduling plan for all pending jobs on each scheduling cycle, and is experimentally shown to achieve significantly higher SLO attainment and cluster utilization than the best-configured YARN reservation and CapacityScheduler stack deployed on a real 256 node cluster.