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20122022
most citedSLO-aware Colocation of Data Center Tasks Based on Instantaneous Processor Requirements

31 citations · 33 across the 5 of their papers we have counts for

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Showing cs.DCShow all

8 papers · 1 filter

cs.DC2022

Using Unused: Non-Invasive Dynamic FaaS Infrastructure with HPC-Whisk

Bartłomiej Przybylski, Maciej Pawlik, Paweł Żuk +3

Modern HPC workload managers and their careful tuning contribute to the high utilization of HPC clusters. However, due to inevitable uncertainty it is impossible to completely avoi…

cs.DC20211 cited

A log-linear -approximation algorithm for parallel machine scheduling with a single orthogonal resource

Adrian Naruszko, Bartłomiej Przybylski, Krzysztof Rzadca

As the gap between compute and I/O performance tends to grow, modern High-Performance Computing (HPC) architectures include a new resource type: an intermediate persistent fast mem…

cs.DC2020

Scheduling Methods to Reduce Response Latency of Function as a Service

Pawel Zuk, Krzysztof Rzadca

Function as a Service (FaaS) permits cloud customers to deploy to cloud individual functions, in contrast to complete virtual machines or Linux containers. All major cloud provider…

cs.DC2018

Fair non-monetary scheduling in federated clouds

Milosz Pacholczyk, Krzysztof Rzadca

In a hybrid cloud, individual cloud service providers (CSPs) often have incentive to use each other's resources to off-load peak loads or place load closer to the end user. However…

cs.DC2018

Dfuntest: A Testing Framework for Distributed Applications

Grzegorz Milka, Krzysztof Rzadca

New ideas in distributed systems (algorithms or protocols) are commonly tested by simulation, because experimenting with a prototype deployed on a realistic platform is cumbersome.…

cs.DC201731 cited

SLO-aware Colocation of Data Center Tasks Based on Instantaneous Processor Requirements

Pawel Janus, Krzysztof Rzadca

In a cloud data center, a single physical machine simultaneously executes dozens of highly heterogeneous tasks. Such colocation results in more efficient utilization of machines, b…