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Ad-hoc移動云環(huán)境下采取隨機規(guī)劃和買賣博弈的任務(wù)卸載方法

張龍,  曹儐*

張龍, 曹儐*. Ad-hoc移動云環(huán)境下采取隨機規(guī)劃和買賣博弈的任務(wù)卸載方法[J]. 電子與信息學(xué)報, 2018, 40(7): 1731-1737. doi: 10.11999/JEIT170895
引用本文: 張龍, 曹儐*. Ad-hoc移動云環(huán)境下采取隨機規(guī)劃和買賣博弈的任務(wù)卸載方法[J]. 電子與信息學(xué)報, 2018, 40(7): 1731-1737. doi: 10.11999/JEIT170895
ZHANG Long, CAO Bin. Stochastic Programming and Buyer-seller Game Methods for Workload Distribution in an Ad-hoc Mobile Cloud[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1731-1737. doi: 10.11999/JEIT170895
Citation: ZHANG Long, CAO Bin. Stochastic Programming and Buyer-seller Game Methods for Workload Distribution in an Ad-hoc Mobile Cloud[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1731-1737. doi: 10.11999/JEIT170895

Ad-hoc移動云環(huán)境下采取隨機規(guī)劃和買賣博弈的任務(wù)卸載方法

doi: 10.11999/JEIT170895 cstr: 32379.14.JEIT170895

  • (重慶郵電大學(xué)移動通信技術(shù)重慶市重點實驗室 重慶 400065)

基金項目: 

國家自然科學(xué)基金(61701059)，重慶市教委科學(xué)技術(shù)研究項目(KJ1500406, KJ1500408)，重慶郵電大學(xué)博士啟動基金(A2014-92)，重慶市研究生科研創(chuàng)新項目(CYS17218)

詳細(xì)信息
    作者簡介:

    張龍：張 龍： 男，1994年生，碩博連讀生，研究方向為移動邊緣云計算、資源管理. 曹 儐： 男，1983年生，博士，副教授，主要研究方向為網(wǎng)絡(luò)虛擬化、資源管理和網(wǎng)絡(luò)協(xié)議

  • 中圖分類號: TN92

Stochastic Programming and Buyer-seller Game Methods for Workload Distribution in an Ad-hoc Mobile Cloud

  • ZHANG Long    CAO Bin

Funds: 

The National Natural Science Foundation of China (61701059), The Science and Technology Research Project of Chongqing Municipal Education Commission of China (KJ1500406, KJ1500408), The Doctoral Fund of Chongqing University of Posts and Telecommunications (A2014-92), The Research and Innovation Project of Graduated Students in Chongqing (CYS17218)

  • 摘要:

    由于移動設(shè)備處理能力和能量的限制，近年來提出了一種新型移動云環(huán)境，通過Ad-hoc方式共享鄰近設(shè)備的閑置資源完成數(shù)據(jù)處理、存儲等需求。在此背景下，該文提出一個在源設(shè)備與鄰近設(shè)備之間的任務(wù)卸載方案?？紤]無線網(wǎng)絡(luò)環(huán)境下移動設(shè)備的移動性導(dǎo)致連接時間隨機性問題，采用隨機規(guī)劃方法補償連接時間預(yù)測不精確對任務(wù)卸載帶來的不利影響。同時，為了激勵移動設(shè)備相互協(xié)作、最大化各自收益，提出基于買賣博弈的分布式多階段隨機買賣博弈任務(wù)卸載(SGWD)算法。仿真結(jié)果表明該算法在通信成本，時間延遲，能量消耗和收益性能上取得了有效提升。

    Abstract:

    In order to solve the limitation of processing capacity and energy of single mobile equipment, the conception of Ad-hoc mobile cloud is proposed recently, in which a mobile device can use the idle resources at other neighboring devices for processing data and storage in Ad-hoc manner. To this end, this paper designs a workload distribution for offloading among mobile equipment. Considering the random and intermittent connections between mobile equipment caused by the movement in wireless network, a stochastic programming method is adopted to take posterior recourse actions to compensate for inaccurate predictions. Moreover, in order to motivate the available mobile equipment for offloading while maximizing their utilities, a distributed multi-stage Stochastic buyer/seller Game for Workload Distribution (SGWD) is formulated. Numerical results show the effectiveness of SGWD compared with the benchmark method in terms of communication cost, the delay, energy consumption and the payoff.

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出版歷程
  • 收稿日期:  2017-09-22
  • 修回日期:  2018-02-23
  • 刊出日期:  2018-07-19

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