Toward designing a dynamic CPU cap manager for timely dataflow platformsVise andre og tillknytning
2018 (engelsk)Inngår i: HPC '18 Proceedings of the High Performance Computing Symposium / [ed] Watson L.T., Thacker W.I., Sosonkina M., Rupp K., Weinbub J., Association for Computing Machinery (ACM), 2018, Vol. 50, nr 4, s. 60-70, artikkel-id 6Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]
In this work, we propose a control-based solution for the problem of CPU resource allocation in data-flow platform that considers the degradation of performance caused by running concurrent data-flow processes. Our aim is to cut the QoS violation incidents for applications belonging to the highest QoS class. The performance of the proposed solution is bench-marked with the famous round robin algorithm. The experimental results confirms that the proposed algorithm can decrease the latency of processing data records for applications by 48% compared to the round robin policy.
sted, utgiver, år, opplag, sider
Association for Computing Machinery (ACM), 2018. Vol. 50, nr 4, s. 60-70, artikkel-id 6
Serie
Simulation Series, ISSN 0735-9276
Emneord [en]
Distributed data-flow processing engines, Quality of service, Scheduling and resource allocation algorithms, Concurrency control; Data transfer; Quality of service; Resource allocation; Routers; Scheduling algorithms, CPU resources; Data flow; Distributed data flow; QOS class; Resource allocation algorithms; Round Robin; Round Robin algorithms, Data handling
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-70335ISI: 000480403800006Scopus ID: 2-s2.0-85055261387ISBN: 978-1-5108-6016-2 (tryckt)OAI: oai:DiVA.org:kau-70335DiVA, id: diva2:1266824
Konferanse
SpringSim-HPC, 2018 April 15–18, Baltimore, Maryland
2018-11-292018-11-292026-02-12bibliografisk kontrollert