Decentralized resource coordination across service workflows in a cloud environment

Y. Wei; M. Brian Blake

doi:10.1109/WETICE.2013.38

Decentralized resource coordination across service workflows in a cloud environment

Y. Wei, M. Brian Blake

Executive Payroll

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

3 Scopus citations

Abstract

As Cloud computing becomes one of the mainstream distributed computing paradigms, cloud users are generating more intricate business processes and scientific jobs which involve the use of service workflows. Efficient management of those workflows' resources can help save cost and improve QoS. In this paper, we investigate the problem of coordinating resources beyond the boundary of a single workflow. An agent-based decentralized algorithm is proposed to match resource supply and demand from different workflows. The proposed algorithm uses multiple phases of information exchange and local adjustments to produce conflict free resource reallocation decisions. Experiments are conducted using simulation programs and synthetic data. Comparisons with a centralized method demonstrate the effectiveness of the proposed algorithm.

Original language	English (US)
Title of host publication	Proceedings - 22nd IEEE International WETICE Conference, WETICE 2013
Pages	15-20
Number of pages	6
DOIs	https://doi.org/10.1109/WETICE.2013.38
State	Published - Sep 11 2013
Event	2013 IEEE 22nd International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2013 - Hammamet, Tunisia Duration: Jun 17 2013 → Jun 20 2013

Publication series

Name	Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE
ISSN (Print)	1524-4547

Other

Other	2013 IEEE 22nd International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2013
Country	Tunisia
City	Hammamet
Period	6/17/13 → 6/20/13

Keywords

agent-based negotiation
cloud computing
decentralized resource coordination
service workflow management

ASJC Scopus subject areas

Hardware and Architecture
Software

Access to Document

10.1109/WETICE.2013.38

Fingerprint Dive into the research topics of 'Decentralized resource coordination across service workflows in a cloud environment'. Together they form a unique fingerprint.

Cite this

Decentralized resource coordination across service workflows in a cloud environment. / Wei, Y.; Blake, M. Brian.

Proceedings - 22nd IEEE International WETICE Conference, WETICE 2013. 2013. p. 15-20 6570576 (Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE).

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

Wei, Y & Blake, MB 2013, Decentralized resource coordination across service workflows in a cloud environment. in Proceedings - 22nd IEEE International WETICE Conference, WETICE 2013., 6570576, Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE, pp. 15-20, 2013 IEEE 22nd International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2013, Hammamet, Tunisia, 6/17/13. https://doi.org/10.1109/WETICE.2013.38

@inproceedings{8b87f5ef3c454923801e8cd092c2fac7,

title = "Decentralized resource coordination across service workflows in a cloud environment",

abstract = "As Cloud computing becomes one of the mainstream distributed computing paradigms, cloud users are generating more intricate business processes and scientific jobs which involve the use of service workflows. Efficient management of those workflows' resources can help save cost and improve QoS. In this paper, we investigate the problem of coordinating resources beyond the boundary of a single workflow. An agent-based decentralized algorithm is proposed to match resource supply and demand from different workflows. The proposed algorithm uses multiple phases of information exchange and local adjustments to produce conflict free resource reallocation decisions. Experiments are conducted using simulation programs and synthetic data. Comparisons with a centralized method demonstrate the effectiveness of the proposed algorithm.",

keywords = "agent-based negotiation, cloud computing, decentralized resource coordination, service workflow management",

author = "Y. Wei and Blake, {M. Brian}",

year = "2013",

month = sep,

day = "11",

doi = "10.1109/WETICE.2013.38",

language = "English (US)",

isbn = "9780769550022",

series = "Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE",

pages = "15--20",

booktitle = "Proceedings - 22nd IEEE International WETICE Conference, WETICE 2013",

note = "2013 IEEE 22nd International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2013 ; Conference date: 17-06-2013 Through 20-06-2013",

}

TY - GEN

T1 - Decentralized resource coordination across service workflows in a cloud environment

AU - Wei, Y.

AU - Blake, M. Brian

PY - 2013/9/11

Y1 - 2013/9/11

N2 - As Cloud computing becomes one of the mainstream distributed computing paradigms, cloud users are generating more intricate business processes and scientific jobs which involve the use of service workflows. Efficient management of those workflows' resources can help save cost and improve QoS. In this paper, we investigate the problem of coordinating resources beyond the boundary of a single workflow. An agent-based decentralized algorithm is proposed to match resource supply and demand from different workflows. The proposed algorithm uses multiple phases of information exchange and local adjustments to produce conflict free resource reallocation decisions. Experiments are conducted using simulation programs and synthetic data. Comparisons with a centralized method demonstrate the effectiveness of the proposed algorithm.

AB - As Cloud computing becomes one of the mainstream distributed computing paradigms, cloud users are generating more intricate business processes and scientific jobs which involve the use of service workflows. Efficient management of those workflows' resources can help save cost and improve QoS. In this paper, we investigate the problem of coordinating resources beyond the boundary of a single workflow. An agent-based decentralized algorithm is proposed to match resource supply and demand from different workflows. The proposed algorithm uses multiple phases of information exchange and local adjustments to produce conflict free resource reallocation decisions. Experiments are conducted using simulation programs and synthetic data. Comparisons with a centralized method demonstrate the effectiveness of the proposed algorithm.

KW - agent-based negotiation

KW - cloud computing

KW - decentralized resource coordination

KW - service workflow management

UR - http://www.scopus.com/inward/record.url?scp=84883519895&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84883519895&partnerID=8YFLogxK

U2 - 10.1109/WETICE.2013.38

DO - 10.1109/WETICE.2013.38

M3 - Conference contribution

AN - SCOPUS:84883519895

SN - 9780769550022

T3 - Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE

SP - 15

EP - 20

BT - Proceedings - 22nd IEEE International WETICE Conference, WETICE 2013

T2 - 2013 IEEE 22nd International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2013

Y2 - 17 June 2013 through 20 June 2013

ER -