Title: Online Scheduling of Spark Workloads with Mesos using Different Fair Allocation Algorithms,
Abstract: In the following, we present example illustrative and experimental results
comparing fair schedulers allocating resources from multiple servers to
distributed application frameworks. Resources are allocated so that at least
one resource is exhausted in every server. Schedulers considered include DRF
(DRFH) and Best-Fit DRF (BF-DRF), TSF, and PS-DSF. We also consider server
selection under Randomized Round Robin (RRR) and based on their residual
(unreserved) resources. In the following, we consider cases with frameworks of
equal priority and without server-preference constraints. We first give typical
results of a illustrative numerical study and then give typical results of a
study involving Spark workloads on Mesos which we have modified and
open-sourced to prototype different schedulers.