When burstable instances meet mobile computing: Performance modeling and economic analysis

Bo Sun; Yuxuan Jiang; Danny H.K. Tsang

doi:10.1109/ICDCS47774.2020.00130

When burstable instances meet mobile computing: Performance modeling and economic analysis

Bo Sun
, Yuxuan Jiang
, Danny H.K. Tsang

Department of Electronic and Computer Engineering

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

2 Citations (Scopus)

Abstract

This paper proposes a tandem fluid queue model for a mobile computing system with computation offloading and analytically derives its key quality-of-service (QoS) metric. Based on the performance model, we further evaluate the economic benefits of burstable instances, a new type of cloud instances that are recently introduced to the market, and make suggestions on whether burstable instances should be used for mobile computing to save users’ costs under different wireless channel conditions and QoS requirements.

Original language	English
Title of host publication	Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1179-1180
Number of pages	2
ISBN (Electronic)	9781728170022
DOIs	https://doi.org/10.1109/ICDCS47774.2020.00130
Publication status	Published - Nov 2020
Event	40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020 - Singapore, Singapore Duration: 29 Nov 2020 → 1 Dec 2020

Publication series

Name	Proceedings - International Conference on Distributed Computing Systems
Volume	2020-November

Conference

Conference	40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020
Country/Territory	Singapore
City	Singapore
Period	29/11/20 → 1/12/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE

Access to Document

10.1109/ICDCS47774.2020.00130

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Sun, B., Jiang, Y., & Tsang, D. H. K. (2020). When burstable instances meet mobile computing: Performance modeling and economic analysis. In Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020 (pp. 1179-1180). Article 9355595 (Proceedings - International Conference on Distributed Computing Systems; Vol. 2020-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS47774.2020.00130

Sun, Bo ; Jiang, Yuxuan ; Tsang, Danny H.K. / When burstable instances meet mobile computing : Performance modeling and economic analysis. Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 1179-1180 (Proceedings - International Conference on Distributed Computing Systems).

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title = "When burstable instances meet mobile computing: Performance modeling and economic analysis",

abstract = "This paper proposes a tandem fluid queue model for a mobile computing system with computation offloading and analytically derives its key quality-of-service (QoS) metric. Based on the performance model, we further evaluate the economic benefits of burstable instances, a new type of cloud instances that are recently introduced to the market, and make suggestions on whether burstable instances should be used for mobile computing to save users{\textquoteright} costs under different wireless channel conditions and QoS requirements.",

author = "Bo Sun and Yuxuan Jiang and Tsang, \{Danny H.K.\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE; 40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020 ; Conference date: 29-11-2020 Through 01-12-2020",

year = "2020",

month = nov,

doi = "10.1109/ICDCS47774.2020.00130",

language = "English",

series = "Proceedings - International Conference on Distributed Computing Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1179--1180",

booktitle = "Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020",

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Sun, B, Jiang, Y & Tsang, DHK 2020, When burstable instances meet mobile computing: Performance modeling and economic analysis. in Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020., 9355595, Proceedings - International Conference on Distributed Computing Systems, vol. 2020-November, Institute of Electrical and Electronics Engineers Inc., pp. 1179-1180, 40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020, Singapore, Singapore, 29/11/20. https://doi.org/10.1109/ICDCS47774.2020.00130

When burstable instances meet mobile computing: Performance modeling and economic analysis. / Sun, Bo; Jiang, Yuxuan; Tsang, Danny H.K.
Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1179-1180 9355595 (Proceedings - International Conference on Distributed Computing Systems; Vol. 2020-November).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

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AB - This paper proposes a tandem fluid queue model for a mobile computing system with computation offloading and analytically derives its key quality-of-service (QoS) metric. Based on the performance model, we further evaluate the economic benefits of burstable instances, a new type of cloud instances that are recently introduced to the market, and make suggestions on whether burstable instances should be used for mobile computing to save users’ costs under different wireless channel conditions and QoS requirements.

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PB - Institute of Electrical and Electronics Engineers Inc.

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Sun B, Jiang Y, Tsang DHK. When burstable instances meet mobile computing: Performance modeling and economic analysis. In Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1179-1180. 9355595. (Proceedings - International Conference on Distributed Computing Systems). doi: 10.1109/ICDCS47774.2020.00130

When burstable instances meet mobile computing: Performance modeling and economic analysis

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