Incomplete contract-based ownership allocation for operator in mobile edge computing

Jun Li; Ran Ding; Tingting Liu; Yu Du; Zhu Han

doi:10.1109/CompComm.2018.8780968

Incomplete contract-based ownership allocation for operator in mobile edge computing

Jun Li
, Ran Ding
, Tingting Liu
, Yu Du
, Zhu Han

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

Abstract

Mobile edge computing (MEC) has emerged as an appealing paradigm to accommodate demands for computation intensive applications. By investing in resources in MEC, departments (DPs) of the operator (OP) can move services closer to network edge, which receive profits from their respective investment in different resources. The trading of resources and services between DPs is usually modeled as a long-time contract. In this paper, we study the relationship between the ownership allocation and invest policy of DP, and then we investigate the problem that how to choose the optimal investments in an MEC scenario. In specific, we first develop a general investment system model with multiple DPs of the OP to participate in MEC. Then, we formulate the optimal investments of the utility maximization problem. Furthermore, we focus on a special ownership allocations with two DPs and two resources. An analysis of the ownership allocation and invest efficiency is given. Finally, simulation results demonstrate that DPs are motivated to make more investments and receive more utilities under its own integration.

Original language	English
Title of host publication	2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1924-1928
Number of pages	5
ISBN (Electronic)	9781538683392
DOIs	https://doi.org/10.1109/CompComm.2018.8780968
Publication status	Published - Dec 2018
Event	4th IEEE International Conference on Computer and Communications, ICCC 2018 - Chengdu, China Duration: 7 Dec 2018 → 10 Dec 2018

Publication series

Name	2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018

Conference

Conference	4th IEEE International Conference on Computer and Communications, ICCC 2018
Country/Territory	China
City	Chengdu
Period	7/12/18 → 10/12/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Incomplete contract
Mobile edge computing
Optimal investment
Ownership allocation

Access to Document

10.1109/CompComm.2018.8780968

Cite this

Li, J., Ding, R., Liu, T., Du, Y., & Han, Z. (2018). Incomplete contract-based ownership allocation for operator in mobile edge computing. In 2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018 (pp. 1924-1928). Article 8780968 (2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CompComm.2018.8780968

Li, Jun ; Ding, Ran ; Liu, Tingting et al. / Incomplete contract-based ownership allocation for operator in mobile edge computing. 2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1924-1928 (2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018).

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abstract = "Mobile edge computing (MEC) has emerged as an appealing paradigm to accommodate demands for computation intensive applications. By investing in resources in MEC, departments (DPs) of the operator (OP) can move services closer to network edge, which receive profits from their respective investment in different resources. The trading of resources and services between DPs is usually modeled as a long-time contract. In this paper, we study the relationship between the ownership allocation and invest policy of DP, and then we investigate the problem that how to choose the optimal investments in an MEC scenario. In specific, we first develop a general investment system model with multiple DPs of the OP to participate in MEC. Then, we formulate the optimal investments of the utility maximization problem. Furthermore, we focus on a special ownership allocations with two DPs and two resources. An analysis of the ownership allocation and invest efficiency is given. Finally, simulation results demonstrate that DPs are motivated to make more investments and receive more utilities under its own integration.",

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author = "Jun Li and Ran Ding and Tingting Liu and Yu Du and Zhu Han",

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Li, J, Ding, R, Liu, T, Du, Y & Han, Z 2018, Incomplete contract-based ownership allocation for operator in mobile edge computing. in 2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018., 8780968, 2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1924-1928, 4th IEEE International Conference on Computer and Communications, ICCC 2018, Chengdu, China, 7/12/18. https://doi.org/10.1109/CompComm.2018.8780968

Incomplete contract-based ownership allocation for operator in mobile edge computing. / Li, Jun; Ding, Ran; Liu, Tingting et al.
2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1924-1928 8780968 (2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018).

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

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N2 - Mobile edge computing (MEC) has emerged as an appealing paradigm to accommodate demands for computation intensive applications. By investing in resources in MEC, departments (DPs) of the operator (OP) can move services closer to network edge, which receive profits from their respective investment in different resources. The trading of resources and services between DPs is usually modeled as a long-time contract. In this paper, we study the relationship between the ownership allocation and invest policy of DP, and then we investigate the problem that how to choose the optimal investments in an MEC scenario. In specific, we first develop a general investment system model with multiple DPs of the OP to participate in MEC. Then, we formulate the optimal investments of the utility maximization problem. Furthermore, we focus on a special ownership allocations with two DPs and two resources. An analysis of the ownership allocation and invest efficiency is given. Finally, simulation results demonstrate that DPs are motivated to make more investments and receive more utilities under its own integration.

AB - Mobile edge computing (MEC) has emerged as an appealing paradigm to accommodate demands for computation intensive applications. By investing in resources in MEC, departments (DPs) of the operator (OP) can move services closer to network edge, which receive profits from their respective investment in different resources. The trading of resources and services between DPs is usually modeled as a long-time contract. In this paper, we study the relationship between the ownership allocation and invest policy of DP, and then we investigate the problem that how to choose the optimal investments in an MEC scenario. In specific, we first develop a general investment system model with multiple DPs of the OP to participate in MEC. Then, we formulate the optimal investments of the utility maximization problem. Furthermore, we focus on a special ownership allocations with two DPs and two resources. An analysis of the ownership allocation and invest efficiency is given. Finally, simulation results demonstrate that DPs are motivated to make more investments and receive more utilities under its own integration.

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Li J, Ding R, Liu T, Du Y, Han Z. Incomplete contract-based ownership allocation for operator in mobile edge computing. In 2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1924-1928. 8780968. (2018 IEEE 4th International Conference on Computer and Communications, ICCC 2018). doi: 10.1109/CompComm.2018.8780968

Incomplete contract-based ownership allocation for operator in mobile edge computing

Abstract

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Keywords

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