Toward designing a dynamic CPU cap manager for timely dataflow platforms

M. Reza Hoseinyfarahabady; Saeed Bastani; Javid Taheri; Albert Y. Zomaya; Zahir Tari; Samee U. Khan

Toward designing a dynamic CPU cap manager for timely dataflow platforms

M. Reza Hoseinyfarahabady
, Saeed Bastani
, Javid Taheri
, Albert Y. Zomaya
, Zahir Tari
, Samee U. Khan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Simulation Series
Editors	Layne T. Watson, Masha Sosonkina, Karl Rupp, William I. Thacker, Josef Weinbub
Publisher	The Society for Modeling and Simulation International
Pages	60-70
Number of pages	11
Edition	4
ISBN (Electronic)	9781510860162
ISBN (Print)	9781510860131, 9781510860148, 9781510860155, 9781510860162, 9781510860179, 9781510860186, 9781510860186, 9781510860209
Publication status	Published - 01 Jun 2018
Externally published	Yes
Event	26th High Performance Computing Symposium, HPC 2018, Part of the 2018 Spring Simulation Multi-Conference, SpringSim 2018 - Baltimore, United States Duration: 15 Apr 2018 → 18 Apr 2018

Publication series

Name	Simulation Series
Number	4
Volume	50
ISSN (Print)	0735-9276

Conference

Conference	26th High Performance Computing Symposium, HPC 2018, Part of the 2018 Spring Simulation Multi-Conference, SpringSim 2018
Country/Territory	United States
City	Baltimore
Period	15/04/2018 → 18/04/2018

Bibliographical note

Publisher Copyright:
© 2018 Society for Modeling & Simulation International (SCS).

Keywords

Distributed data-flow processing engines
Quality of service
Scheduling and resource allocation algorithms

ASJC Scopus subject areas

Computer Networks and Communications

Cite this

Hoseinyfarahabady, M. R., Bastani, S., Taheri, J., Zomaya, A. Y., Tari, Z., & Khan, S. U. (2018). Toward designing a dynamic CPU cap manager for timely dataflow platforms. In L. T. Watson, M. Sosonkina, K. Rupp, W. I. Thacker, & J. Weinbub (Eds.), Simulation Series (4 ed., pp. 60-70). (Simulation Series; Vol. 50, No. 4). The Society for Modeling and Simulation International.

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title = "Toward designing a dynamic CPU cap manager for timely dataflow platforms",

abstract = "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.",

keywords = "Distributed data-flow processing engines, Quality of service, Scheduling and resource allocation algorithms",

author = "Hoseinyfarahabady, \{M. Reza\} and Saeed Bastani and Javid Taheri and Zomaya, \{Albert Y.\} and Zahir Tari and Khan, \{Samee U.\}",

note = "Publisher Copyright: {\textcopyright} 2018 Society for Modeling \& Simulation International (SCS).; 26th High Performance Computing Symposium, HPC 2018, Part of the 2018 Spring Simulation Multi-Conference, SpringSim 2018 ; Conference date: 15-04-2018 Through 18-04-2018",

year = "2018",

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series = "Simulation Series",

publisher = "The Society for Modeling and Simulation International",

number = "4",

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editor = "Watson, \{Layne T.\} and Masha Sosonkina and Karl Rupp and Thacker, \{William I.\} and Josef Weinbub",

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Hoseinyfarahabady, MR, Bastani, S, Taheri, J, Zomaya, AY, Tari, Z & Khan, SU 2018, Toward designing a dynamic CPU cap manager for timely dataflow platforms. in LT Watson, M Sosonkina, K Rupp, WI Thacker & J Weinbub (eds), Simulation Series. 4 edn, Simulation Series, no. 4, vol. 50, The Society for Modeling and Simulation International, pp. 60-70, 26th High Performance Computing Symposium, HPC 2018, Part of the 2018 Spring Simulation Multi-Conference, SpringSim 2018, Baltimore, United States, 15/04/2018.

Toward designing a dynamic CPU cap manager for timely dataflow platforms. / Hoseinyfarahabady, M. Reza; Bastani, Saeed; Taheri, Javid et al.
Simulation Series. ed. / Layne T. Watson; Masha Sosonkina; Karl Rupp; William I. Thacker; Josef Weinbub. 4. ed. The Society for Modeling and Simulation International, 2018. p. 60-70 (Simulation Series; Vol. 50, No. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Toward designing a dynamic CPU cap manager for timely dataflow platforms

AU - Hoseinyfarahabady, M. Reza

AU - Bastani, Saeed

AU - Taheri, Javid

AU - Zomaya, Albert Y.

AU - Tari, Zahir

AU - Khan, Samee U.

PY - 2018/6/1

Y1 - 2018/6/1

N2 - 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.

AB - 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.

KW - Distributed data-flow processing engines

KW - Quality of service

KW - Scheduling and resource allocation algorithms

M3 - Conference contribution

AN - SCOPUS:85055261387

SN - 9781510860131

SN - 9781510860148

SN - 9781510860155

SN - 9781510860162

SN - 9781510860179

SN - 9781510860186

SN - 9781510860209

T3 - Simulation Series

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EP - 70

BT - Simulation Series

A2 - Watson, Layne T.

A2 - Sosonkina, Masha

A2 - Rupp, Karl

A2 - Thacker, William I.

A2 - Weinbub, Josef

PB - The Society for Modeling and Simulation International

T2 - 26th High Performance Computing Symposium, HPC 2018, Part of the 2018 Spring Simulation Multi-Conference, SpringSim 2018

Y2 - 15 April 2018 through 18 April 2018

ER -

Toward designing a dynamic CPU cap manager for timely dataflow platforms

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Fingerprint

Cite this