【摘要】：移動(dòng)云計(jì)算服務(wù)是技術(shù)融合在當(dāng)前環(huán)境下的新發(fā)展,它是在云計(jì)算以及移動(dòng)互聯(lián)網(wǎng)基礎(chǔ)上發(fā)展而來(lái)的,它結(jié)合了兩者的優(yōu)點(diǎn),但是也帶來(lái)了新的難題。本論文研究課題主要是移動(dòng)云計(jì)算服務(wù)中的移動(dòng)云資源調(diào)度問(wèn)題,主要研究解決當(dāng)前移動(dòng)云調(diào)度中的兩個(gè)基本問(wèn)題:1)如何在調(diào)度時(shí)減少數(shù)據(jù)檢索規(guī)模,加快云調(diào)度速度;2)如何在移動(dòng)云調(diào)度中結(jié)合用戶需求以及多層次屬性,為移動(dòng)用戶帶來(lái)更加個(gè)性化的服務(wù)。為了解決上述問(wèn)題,本文研究了移動(dòng)云調(diào)度算法,提出了一個(gè)基于多層次用戶屬性的移動(dòng)云調(diào)度系統(tǒng)。模糊聚類可以對(duì)事物進(jìn)行分類,從而使問(wèn)題在更精確的范圍內(nèi)解決,因此,本文在模糊聚類算法的基礎(chǔ)上提出了相關(guān)改進(jìn)算法(IGAFCM),以解決移動(dòng)云調(diào)度中數(shù)據(jù)量過(guò)大的問(wèn)題。同時(shí),本文還利用了推薦系統(tǒng)中的協(xié)同過(guò)濾算法(FCMCF),對(duì)移動(dòng)用戶多層次屬性進(jìn)行系統(tǒng)抽象,提出一個(gè)基于多層次用戶屬性的評(píng)分模型,讓移動(dòng)云調(diào)度系統(tǒng)在充分考慮移動(dòng)用戶需求和相關(guān)屬性的基礎(chǔ)上進(jìn)行系統(tǒng)調(diào)度,從而解決為用戶提供更加個(gè)性化服務(wù)的問(wèn)題。最后,本文還利用了 Matlab以及CloudSim等仿真工具,對(duì)研究的算法以及設(shè)計(jì)的系統(tǒng)進(jìn)行實(shí)驗(yàn)驗(yàn)證。通過(guò)實(shí)驗(yàn)證明,本文提出的基于多層次用戶屬性的移動(dòng)云調(diào)度算法是有效可行的。
[Abstract]:Mobile cloud computing service is a new development of technology amalgamation in the current environment. It is based on cloud computing and mobile Internet. It combines the advantages of both, but also brings new problems. This thesis focuses on mobile cloud resource scheduling in mobile cloud computing services. It mainly studies two basic problems in mobile cloud scheduling: 1) how to reduce the scale of data retrieval and speed up cloud scheduling; 2) how to combine user requirements and multi-level attributes in mobile cloud scheduling to bring more personalized services to mobile users. In order to solve the above problems, this paper studies the mobile cloud scheduling algorithm, and proposes a mobile cloud scheduling system based on multi-level user attributes. Fuzzy clustering can classify things so that the problem can be solved in a more accurate range. Therefore, based on the fuzzy clustering algorithm, this paper proposes an improved algorithm, (IGAFCM), to solve the problem of too large amount of data in mobile cloud scheduling. At the same time, the collaborative filtering algorithm (FCMCF), in recommendation system is used to abstract the multi-level attributes of mobile users, and a scoring model based on multi-level user attributes is proposed. In order to solve the problem of providing more personalized service to users, the mobile cloud scheduling system can take full account of the needs of mobile users and related attributes to carry out system scheduling. Finally, the simulation tools such as Matlab and CloudSim are used to verify the algorithm and the designed system. Experimental results show that the proposed mobile cloud scheduling algorithm based on multi-level user attributes is effective and feasible.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP393.09

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本文編號(hào)：2381876