A workflow scheduling technique to consider task processing rate in spot instance-based cloud

Daeyong Jung; Jong Beom Lim; Heon Chang Yu

doi:10.1007/978-94-017-8798-7_59

A workflow scheduling technique to consider task processing rate in spot instance-based cloud

Daeyong Jung, Jong Beom Lim, Heon Chang Yu

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

2 Citations (Scopus)

Abstract

Cloud computing is a computing paradigm in which users can rent computing resources from service providers according to their requirements. A spot instance in cloud computing helps a user to obtain resources at a lower cost, but it may be unreliable. In this paper, we propose a workflow scheduling scheme to consider task processing rate. This scheme reduces the task waiting time and the rollback time when an out-of-bid situation occurs in an instance.

Original language	English
Title of host publication	Frontier and Innovation in Future Computing and Communications
Editors	Albert Zomaya, James J. Park, Hwa-Young Jeong, Mohammad Obaidat
Publisher	Springer Verlag
Pages	483-494
Number of pages	12
ISBN (Electronic)	9789401787970
DOIs	https://doi.org/10.1007/978-94-017-8798-7_59
Publication status	Published - 2014
Event	2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014 - Auckland, New Zealand Duration: 2014 Jan 13 → 2014 Jan 16

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	301
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Other

Other	2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014
Country/Territory	New Zealand
City	Auckland
Period	14/1/13 → 14/1/16

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2013056346).

Publisher Copyright:
© Springer Science+Business Media Dordrecht 2014.

Keywords

Cloud computing
Fault tolerance
Price history
Spot instances
Workflow

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-94-017-8798-7_59

Cite this

Jung, D., Lim, J. B., & Yu, H. C. (2014). A workflow scheduling technique to consider task processing rate in spot instance-based cloud. In A. Zomaya, J. J. Park, H.-Y. Jeong, & M. Obaidat (Eds.), Frontier and Innovation in Future Computing and Communications (pp. 483-494). (Lecture Notes in Electrical Engineering; Vol. 301). Springer Verlag. https://doi.org/10.1007/978-94-017-8798-7_59

A workflow scheduling technique to consider task processing rate in spot instance-based cloud. / Jung, Daeyong; Lim, Jong Beom; Yu, Heon Chang.
Frontier and Innovation in Future Computing and Communications. ed. / Albert Zomaya; James J. Park; Hwa-Young Jeong; Mohammad Obaidat. Springer Verlag, 2014. p. 483-494 (Lecture Notes in Electrical Engineering; Vol. 301).

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

Jung, D, Lim, JB & Yu, HC 2014, A workflow scheduling technique to consider task processing rate in spot instance-based cloud. in A Zomaya, JJ Park, H-Y Jeong & M Obaidat (eds), Frontier and Innovation in Future Computing and Communications. Lecture Notes in Electrical Engineering, vol. 301, Springer Verlag, pp. 483-494, 2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014, Auckland, New Zealand, 14/1/13. https://doi.org/10.1007/978-94-017-8798-7_59

@inproceedings{bcb591e556274d839c8858853e9842c1,

title = "A workflow scheduling technique to consider task processing rate in spot instance-based cloud",

abstract = "Cloud computing is a computing paradigm in which users can rent computing resources from service providers according to their requirements. A spot instance in cloud computing helps a user to obtain resources at a lower cost, but it may be unreliable. In this paper, we propose a workflow scheduling scheme to consider task processing rate. This scheme reduces the task waiting time and the rollback time when an out-of-bid situation occurs in an instance.",

keywords = "Cloud computing, Fault tolerance, Price history, Spot instances, Workflow",

author = "Daeyong Jung and Lim, {Jong Beom} and Yu, {Heon Chang}",

note = "Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2013056346). Publisher Copyright: {\textcopyright} Springer Science+Business Media Dordrecht 2014.; 2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014 ; Conference date: 13-01-2014 Through 16-01-2014",

year = "2014",

doi = "10.1007/978-94-017-8798-7_59",

language = "English",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "483--494",

editor = "Albert Zomaya and Park, {James J.} and Hwa-Young Jeong and Mohammad Obaidat",

booktitle = "Frontier and Innovation in Future Computing and Communications",

}

TY - GEN

T1 - A workflow scheduling technique to consider task processing rate in spot instance-based cloud

AU - Jung, Daeyong

AU - Lim, Jong Beom

AU - Yu, Heon Chang

N1 - Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2013056346). Publisher Copyright: © Springer Science+Business Media Dordrecht 2014.

PY - 2014

Y1 - 2014

N2 - Cloud computing is a computing paradigm in which users can rent computing resources from service providers according to their requirements. A spot instance in cloud computing helps a user to obtain resources at a lower cost, but it may be unreliable. In this paper, we propose a workflow scheduling scheme to consider task processing rate. This scheme reduces the task waiting time and the rollback time when an out-of-bid situation occurs in an instance.

AB - Cloud computing is a computing paradigm in which users can rent computing resources from service providers according to their requirements. A spot instance in cloud computing helps a user to obtain resources at a lower cost, but it may be unreliable. In this paper, we propose a workflow scheduling scheme to consider task processing rate. This scheme reduces the task waiting time and the rollback time when an out-of-bid situation occurs in an instance.

KW - Cloud computing

KW - Fault tolerance

KW - Price history

KW - Spot instances

KW - Workflow

UR - http://www.scopus.com/inward/record.url?scp=84928032243&partnerID=8YFLogxK

U2 - 10.1007/978-94-017-8798-7_59

DO - 10.1007/978-94-017-8798-7_59

M3 - Conference contribution

AN - SCOPUS:84928032243

T3 - Lecture Notes in Electrical Engineering

SP - 483

EP - 494

BT - Frontier and Innovation in Future Computing and Communications

A2 - Zomaya, Albert

A2 - Park, James J.

A2 - Jeong, Hwa-Young

A2 - Obaidat, Mohammad

PB - Springer Verlag

T2 - 2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014

Y2 - 13 January 2014 through 16 January 2014

ER -

A workflow scheduling technique to consider task processing rate in spot instance-based cloud

Abstract

Publication series

Other

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this