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    政大機構典藏 > 理學院 > 資訊科學系 > 學位論文 >  Item 140.119/98623
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/98623

    Title: 以任務分配解決即時金融服務中突發流量及網路不穩定問題
    Task Assignment for Real-time Financial Service System under Bursty Traffic and Unstable Networks
    Authors: 陳泰銘
    Chen, Tai Ming
    Contributors: 蔡子傑
    Tsai, Tzu Chieh
    Chen, Tai Ming
    Keywords: 任務分配
    Task Assignment
    Load Balance
    Bursty Traffic
    Network Instability
    Network Delay Autocorrelation Model
    Queuing Theory
    Bank 3.0
    Date: 2016
    Issue Date: 2016-07-01 15:17:13 (UTC+8)
    Abstract: 最近,金融科技(FinTech)和行動金融服務,吸引越來越多的目光。新的創新金融科技服務,改變了金融服務的消費行為。行動網路的發展使人們能夠隨時隨地的享受行動銀行的服務已經是個不爭的事實。然而,由於無線網路先天的特性以及行動裝置的移動性,使行動金融的服務品質受到網路不穩定的影響。而且,隨著Bank 3.0時代的來臨,將會有大量的使用者同時使用行動金融服務,特別是在股市開盤以及重大訊息揭露的時候。因著大量使用者瞬間湧入,以及無線網路不穩定的影響,交易系統的效能很可能會時好時壞,所以無法滿足即時金融市場的需求。
    FinTech (financial technology) and mobile financial services are getting more and more attention recently. New innovative FinTech services change the consumption behavior for financial services. It is an indisputable fact development of the mobile Internet allows people to enjoy mobile banking everywhere and anytime. However, due to the nature of wireless networking and the mobility of the mobile device, the quality of mobile financial service will be affected by network instability. Moreover, with the coming of Bank 3.0, a huge amount of users would be in the mobile service of finance simultaneously, especially when the instances of the stock market opening or disclosure of highly important financial message. As the result of bursty traffic and network instability, the performance of transaction system is up and down, making it tough to satisfy the demand of real-time financial markets.
    In this thesis, we propose a “Mobile Banking Messaging as a Service Framework” that can easily scale out and fulfill functions comprising Bilateral Communication, Bilateral Trading, and many other mobile financial services. To pursuit of the greatest benefit along with investment of the least resources, we develop the task assignment algorithm which can adapt the system to bursty traffic and unstable networks to improve performance for free. Then, in order to simulate a large number of mobile users, we observe the characteristic of real-world network delay and propose a network delay autocorrelation model to verify our task assignment algorithm. The results of experiment show that we could actually use our task assignment algorithm to improve the ability of the system to manage resource. Finally, we deploy our system in a real-world network delay environment and find that the results obtained in the real condition are the same with our simulation results. Therefore, this research can indirectly verify the correctness of the network delay autocorrelation model, and prove that our task assignment algorithm can effectively reduce the system response time for real-time mobile financial service system under bursty traffic and unstable networks.
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    Description: 碩士
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0102753032
    Data Type: thesis
    Appears in Collections:[資訊科學系] 學位論文

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