VCPU shaping for supporting latency sensitive workloads

Byung Ki Kim; Hyuck Yoo; Young Woong Ko

doi:10.1007/978-3-642-35585-1_4

VCPU shaping for supporting latency sensitive workloads

Byung Ki Kim, Hyuck Yoo, Young Woong Ko

Graduate School of Convergence IT

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

Abstract

In virtual machine environments, it is difficult to allocate CPU resource in a timely manner when lots of domains are in BOOST priority. In this paper, we present a virtual machine scheduling scheme based on VCPU shaping and efficiently deals with multi BOOST problem. We evaluate our prototype in terms of latency over diverse workloads. Our experiment result shows that the proposed realtime priority scheme effectively allocates CPU resources for low latency guest domain over varying workloads.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	25-32
Number of pages	8
Volume	7709 LNCS
DOIs	https://doi.org/10.1007/978-3-642-35585-1_4
Publication status	Published - 2012 Dec 14
Event	4th International Conference on Future Generation Information Technology, FGIT 2012 - Gangneug, Korea, Republic of Duration: 2012 Dec 16 → 2012 Dec 19

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7709 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	4th International Conference on Future Generation Information Technology, FGIT 2012
Country	Korea, Republic of
City	Gangneug
Period	12/12/16 → 12/12/19

Fingerprint

Keywords

QoS
realtime
resource monitor
scheduler
Xen

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Cite this

Kim, B. K., Yoo, H., & Ko, Y. W. (2012). VCPU shaping for supporting latency sensitive workloads. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7709 LNCS, pp. 25-32). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7709 LNCS). https://doi.org/10.1007/978-3-642-35585-1_4

VCPU shaping for supporting latency sensitive workloads. / Kim, Byung Ki; Yoo, Hyuck; Ko, Young Woong.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7709 LNCS 2012. p. 25-32 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7709 LNCS).

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

Kim, BK, Yoo, H & Ko, YW 2012, VCPU shaping for supporting latency sensitive workloads. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7709 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7709 LNCS, pp. 25-32, 4th International Conference on Future Generation Information Technology, FGIT 2012, Gangneug, Korea, Republic of, 12/12/16. https://doi.org/10.1007/978-3-642-35585-1_4

Kim BK, Yoo H, Ko YW. VCPU shaping for supporting latency sensitive workloads. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7709 LNCS. 2012. p. 25-32. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-35585-1_4

Kim, Byung Ki ; Yoo, Hyuck ; Ko, Young Woong. / VCPU shaping for supporting latency sensitive workloads. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7709 LNCS 2012. pp. 25-32 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{5eca84591e944d6280ef3fa5e3618d2c,

title = "VCPU shaping for supporting latency sensitive workloads",

abstract = "In virtual machine environments, it is difficult to allocate CPU resource in a timely manner when lots of domains are in BOOST priority. In this paper, we present a virtual machine scheduling scheme based on VCPU shaping and efficiently deals with multi BOOST problem. We evaluate our prototype in terms of latency over diverse workloads. Our experiment result shows that the proposed realtime priority scheme effectively allocates CPU resources for low latency guest domain over varying workloads.",

keywords = "QoS, realtime, resource monitor, scheduler, Xen",

author = "Kim, {Byung Ki} and Hyuck Yoo and Ko, {Young Woong}",

year = "2012",

month = "12",

day = "14",

doi = "10.1007/978-3-642-35585-1_4",

language = "English",

isbn = "9783642355844",

volume = "7709 LNCS",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "25--32",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

note = "4th International Conference on Future Generation Information Technology, FGIT 2012 ; Conference date: 16-12-2012 Through 19-12-2012",

}

TY - GEN

T1 - VCPU shaping for supporting latency sensitive workloads

AU - Kim, Byung Ki

AU - Yoo, Hyuck

AU - Ko, Young Woong

PY - 2012/12/14

Y1 - 2012/12/14

N2 - In virtual machine environments, it is difficult to allocate CPU resource in a timely manner when lots of domains are in BOOST priority. In this paper, we present a virtual machine scheduling scheme based on VCPU shaping and efficiently deals with multi BOOST problem. We evaluate our prototype in terms of latency over diverse workloads. Our experiment result shows that the proposed realtime priority scheme effectively allocates CPU resources for low latency guest domain over varying workloads.

AB - In virtual machine environments, it is difficult to allocate CPU resource in a timely manner when lots of domains are in BOOST priority. In this paper, we present a virtual machine scheduling scheme based on VCPU shaping and efficiently deals with multi BOOST problem. We evaluate our prototype in terms of latency over diverse workloads. Our experiment result shows that the proposed realtime priority scheme effectively allocates CPU resources for low latency guest domain over varying workloads.

KW - QoS

KW - realtime

KW - resource monitor

KW - scheduler

KW - Xen

UR - http://www.scopus.com/inward/record.url?scp=84870825257&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870825257&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-35585-1_4

DO - 10.1007/978-3-642-35585-1_4

M3 - Conference contribution

AN - SCOPUS:84870825257

SN - 9783642355844

VL - 7709 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 25

EP - 32

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

T2 - 4th International Conference on Future Generation Information Technology, FGIT 2012

Y2 - 16 December 2012 through 19 December 2012

ER -

Access to Document

10.1007/978-3-642-35585-1_4