TAFTA: A Truthful Auction Framework for User Data Allowance Trading in Mobile Networks

Zhongxing Ming; Mingwei Xu; Ning Wang; Bingjie Gao; Qi Li

doi:10.1109/ICDCS.2015.118

TAFTA: A Truthful Auction Framework for User Data Allowance Trading in Mobile Networks

Zhongxing Ming, Mingwei Xu, Ning Wang, Bingjie Gao, Qi Li

School of Electrical, Electronic and Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

User data allowance trading is emerging as a promising field in mobile data networks. Mobile operators are establishing data trading platforms to attract more users. To date, there has been no coherent study on user data allowance trading. In this paper, we develop a truthful framework that allows users to bid for data allowance. We focus on preventing price cheating, guaranteeing fairness and minimizing trading maintenance cost. We model the data trading process as a double auction problem. We develop algorithms to solve the problem. The algorithms use a uniform price based on a competitive equilibrium to defend against price cheating and provide fairness, and use linear programming to minimize trading maintenance cost. We conduct extensive simulations to testify the proposed mechanism. Results show that our mechanism is truthful, fair and can minimize the cost of trading.

Original language	English
Title of host publication	Proceedings - 2015 IEEE 35th International Conference on Distributed Computing Systems, ICDCS 2015
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	804-805
Number of pages	2
ISBN (Electronic)	9781467372145
DOIs	https://doi.org/10.1109/ICDCS.2015.118
Publication status	Published - 22 Jul 2015
Event	35th IEEE International Conference on Distributed Computing Systems, ICDCS 2015 - Columbus, United States Duration: 29 Jun 2015 → 2 Jul 2015

Publication series

Name	Proceedings - International Conference on Distributed Computing Systems
Volume	2015-July

Conference

Conference	35th IEEE International Conference on Distributed Computing Systems, ICDCS 2015
Country/Territory	United States
City	Columbus
Period	29/06/15 → 2/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

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10.1109/ICDCS.2015.118

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Ming, Z., Xu, M., Wang, N., Gao, B., & Li, Q. (2015). TAFTA: A Truthful Auction Framework for User Data Allowance Trading in Mobile Networks. In Proceedings - 2015 IEEE 35th International Conference on Distributed Computing Systems, ICDCS 2015 (pp. 804-805). Article 7164996 (Proceedings - International Conference on Distributed Computing Systems; Vol. 2015-July). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICDCS.2015.118

Ming, Zhongxing ; Xu, Mingwei ; Wang, Ning et al. / TAFTA : A Truthful Auction Framework for User Data Allowance Trading in Mobile Networks. Proceedings - 2015 IEEE 35th International Conference on Distributed Computing Systems, ICDCS 2015. Institute of Electrical and Electronics Engineers (IEEE), 2015. pp. 804-805 (Proceedings - International Conference on Distributed Computing Systems).

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title = "TAFTA: A Truthful Auction Framework for User Data Allowance Trading in Mobile Networks",

abstract = "User data allowance trading is emerging as a promising field in mobile data networks. Mobile operators are establishing data trading platforms to attract more users. To date, there has been no coherent study on user data allowance trading. In this paper, we develop a truthful framework that allows users to bid for data allowance. We focus on preventing price cheating, guaranteeing fairness and minimizing trading maintenance cost. We model the data trading process as a double auction problem. We develop algorithms to solve the problem. The algorithms use a uniform price based on a competitive equilibrium to defend against price cheating and provide fairness, and use linear programming to minimize trading maintenance cost. We conduct extensive simulations to testify the proposed mechanism. Results show that our mechanism is truthful, fair and can minimize the cost of trading.",

author = "Zhongxing Ming and Mingwei Xu and Ning Wang and Bingjie Gao and Qi Li",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 35th IEEE International Conference on Distributed Computing Systems, ICDCS 2015 ; Conference date: 29-06-2015 Through 02-07-2015",

year = "2015",

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doi = "10.1109/ICDCS.2015.118",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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Ming, Z, Xu, M, Wang, N, Gao, B & Li, Q 2015, TAFTA: A Truthful Auction Framework for User Data Allowance Trading in Mobile Networks. in Proceedings - 2015 IEEE 35th International Conference on Distributed Computing Systems, ICDCS 2015., 7164996, Proceedings - International Conference on Distributed Computing Systems, vol. 2015-July, Institute of Electrical and Electronics Engineers (IEEE), pp. 804-805, 35th IEEE International Conference on Distributed Computing Systems, ICDCS 2015, Columbus, United States, 29/06/15. https://doi.org/10.1109/ICDCS.2015.118

TAFTA: A Truthful Auction Framework for User Data Allowance Trading in Mobile Networks. / Ming, Zhongxing; Xu, Mingwei; Wang, Ning et al.
Proceedings - 2015 IEEE 35th International Conference on Distributed Computing Systems, ICDCS 2015. Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 804-805 7164996 (Proceedings - International Conference on Distributed Computing Systems; Vol. 2015-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - TAFTA

T2 - 35th IEEE International Conference on Distributed Computing Systems, ICDCS 2015

AU - Ming, Zhongxing

AU - Xu, Mingwei

AU - Wang, Ning

AU - Gao, Bingjie

AU - Li, Qi

PY - 2015/7/22

Y1 - 2015/7/22

N2 - User data allowance trading is emerging as a promising field in mobile data networks. Mobile operators are establishing data trading platforms to attract more users. To date, there has been no coherent study on user data allowance trading. In this paper, we develop a truthful framework that allows users to bid for data allowance. We focus on preventing price cheating, guaranteeing fairness and minimizing trading maintenance cost. We model the data trading process as a double auction problem. We develop algorithms to solve the problem. The algorithms use a uniform price based on a competitive equilibrium to defend against price cheating and provide fairness, and use linear programming to minimize trading maintenance cost. We conduct extensive simulations to testify the proposed mechanism. Results show that our mechanism is truthful, fair and can minimize the cost of trading.

AB - User data allowance trading is emerging as a promising field in mobile data networks. Mobile operators are establishing data trading platforms to attract more users. To date, there has been no coherent study on user data allowance trading. In this paper, we develop a truthful framework that allows users to bid for data allowance. We focus on preventing price cheating, guaranteeing fairness and minimizing trading maintenance cost. We model the data trading process as a double auction problem. We develop algorithms to solve the problem. The algorithms use a uniform price based on a competitive equilibrium to defend against price cheating and provide fairness, and use linear programming to minimize trading maintenance cost. We conduct extensive simulations to testify the proposed mechanism. Results show that our mechanism is truthful, fair and can minimize the cost of trading.

UR - https://www.scopus.com/pages/publications/84944329457

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DO - 10.1109/ICDCS.2015.118

M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:84944329457

T3 - Proceedings - International Conference on Distributed Computing Systems

SP - 804

EP - 805

BT - Proceedings - 2015 IEEE 35th International Conference on Distributed Computing Systems, ICDCS 2015

PB - Institute of Electrical and Electronics Engineers (IEEE)

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ER -

Ming Z, Xu M, Wang N, Gao B, Li Q. TAFTA: A Truthful Auction Framework for User Data Allowance Trading in Mobile Networks. In Proceedings - 2015 IEEE 35th International Conference on Distributed Computing Systems, ICDCS 2015. Institute of Electrical and Electronics Engineers (IEEE). 2015. p. 804-805. 7164996. (Proceedings - International Conference on Distributed Computing Systems). doi: 10.1109/ICDCS.2015.118

TAFTA: A Truthful Auction Framework for User Data Allowance Trading in Mobile Networks

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