Tetrisched: Space-Time Scheduling for Heterogeneous Datacenters

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Provided by: Carnegie Mellon University
Topic: Big Data
Format: PDF
Tetrisched is a new scheduler that explicitly considers both job-specific preferences and estimated job runtimes in its allocation of resources. Combined, this information allows tetrisched to provide higher overall value to complex application mixes consolidated on heterogeneous collections of machines. Job-specific preferences, provided by tenants in the form of composable utility functions, allow tetrisched to understand which resources are preferred, and by how much, over other acceptable options. Estimated job runtimes allow tetrisched to plan ahead in deciding whether to wait for a busy preferred resource to become free or to assign a less preferred resource.
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