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A coordination-based brokerage architecture for multi-cloud resource markets

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A coordination-based brokerage architecture for multi-cloud resource markets. / Aldawood, Sarah; Fowley, Frank; Pahl, Claus; Taibi, Davide; Liu, Xiaodong.

Proceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 7-14.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Aldawood, S, Fowley, F, Pahl, C, Taibi, D & Liu, X 2016, A coordination-based brokerage architecture for multi-cloud resource markets. in Proceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016. Institute of Electrical and Electronics Engineers Inc., pp. 7-14, 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016, Vienna, Austria, 22/08/16. https://doi.org/10.1109/W-FiCloud.2016.19

APA

Aldawood, S., Fowley, F., Pahl, C., Taibi, D., & Liu, X. (2016). A coordination-based brokerage architecture for multi-cloud resource markets. In Proceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016 (pp. 7-14). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/W-FiCloud.2016.19

Vancouver

Aldawood S, Fowley F, Pahl C, Taibi D, Liu X. A coordination-based brokerage architecture for multi-cloud resource markets. In Proceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 7-14 https://doi.org/10.1109/W-FiCloud.2016.19

Author

Aldawood, Sarah ; Fowley, Frank ; Pahl, Claus ; Taibi, Davide ; Liu, Xiaodong. / A coordination-based brokerage architecture for multi-cloud resource markets. Proceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 7-14

Bibtex - Download

@inproceedings{a920e3aefc214620b656bf91294eae4e,
title = "A coordination-based brokerage architecture for multi-cloud resource markets",
abstract = "With an increasing number of service providers in the cloud market, the competition between these is also increasing. Each provider attempts to attract customers by providing a high quality service with lowest possible cost and at the same time trying to make profit. Often, cloud resources are advertised and brokered in a spot market style, i.e., traded for immediate delivery. This paper proposes an architecture for a brokerage model specifically for multi-cloud resource spot markets that integrates the resource brokerage function across several cloud providers. We use a tuple space architecture to facilitate coordination. This architecture supports specifically multiple cloud providers selling unused resources in the spot market. To support the matching process by finding the best match between customer requirements and providers, offers are matched with regard the lowest possible cost available for the customer in the market at the time of the request. The key role of this architecture is to provide the coordination techniques built on a tuple space, adapted to the cloud spot market.",
keywords = "Cloud Brokerage Architecture, Cloud Resources Market, Resource Brokerage, Spot Market, Tuple Space",
author = "Sarah Aldawood and Frank Fowley and Claus Pahl and Davide Taibi and Xiaodong Liu",
year = "2016",
month = "10",
day = "14",
doi = "10.1109/W-FiCloud.2016.19",
language = "English",
pages = "7--14",
booktitle = "Proceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - A coordination-based brokerage architecture for multi-cloud resource markets

AU - Aldawood, Sarah

AU - Fowley, Frank

AU - Pahl, Claus

AU - Taibi, Davide

AU - Liu, Xiaodong

PY - 2016/10/14

Y1 - 2016/10/14

N2 - With an increasing number of service providers in the cloud market, the competition between these is also increasing. Each provider attempts to attract customers by providing a high quality service with lowest possible cost and at the same time trying to make profit. Often, cloud resources are advertised and brokered in a spot market style, i.e., traded for immediate delivery. This paper proposes an architecture for a brokerage model specifically for multi-cloud resource spot markets that integrates the resource brokerage function across several cloud providers. We use a tuple space architecture to facilitate coordination. This architecture supports specifically multiple cloud providers selling unused resources in the spot market. To support the matching process by finding the best match between customer requirements and providers, offers are matched with regard the lowest possible cost available for the customer in the market at the time of the request. The key role of this architecture is to provide the coordination techniques built on a tuple space, adapted to the cloud spot market.

AB - With an increasing number of service providers in the cloud market, the competition between these is also increasing. Each provider attempts to attract customers by providing a high quality service with lowest possible cost and at the same time trying to make profit. Often, cloud resources are advertised and brokered in a spot market style, i.e., traded for immediate delivery. This paper proposes an architecture for a brokerage model specifically for multi-cloud resource spot markets that integrates the resource brokerage function across several cloud providers. We use a tuple space architecture to facilitate coordination. This architecture supports specifically multiple cloud providers selling unused resources in the spot market. To support the matching process by finding the best match between customer requirements and providers, offers are matched with regard the lowest possible cost available for the customer in the market at the time of the request. The key role of this architecture is to provide the coordination techniques built on a tuple space, adapted to the cloud spot market.

KW - Cloud Brokerage Architecture

KW - Cloud Resources Market

KW - Resource Brokerage

KW - Spot Market

KW - Tuple Space

U2 - 10.1109/W-FiCloud.2016.19

DO - 10.1109/W-FiCloud.2016.19

M3 - Conference contribution

SP - 7

EP - 14

BT - Proceedings - 2016 4th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -