【摘要】：隨著智能手機的出現(xiàn)，移動設(shè)備的計算能力有了顯著提高，而人們對于移動應(yīng)用的復(fù)雜性也提出了相應(yīng)的高要求，并且后者的提高速度遠遠高于前者的提高速度，解決好二者的不匹配性成為了移動計算發(fā)展必須要克服的問題。解決移動設(shè)備計算能力和人們對于移動應(yīng)用復(fù)雜性要求的不匹配性問題，主要有兩個解決方向，一是克服移動設(shè)備的資源有限性問題，這方面主要是通過硬件的提高來解決，二是更為高效的利用已有的有限的資源，來更好的滿足日益復(fù)雜的移動應(yīng)用的要求，移動負載轉(zhuǎn)移是其中較為典型的方法。 移動負載轉(zhuǎn)移決策策略是移動負載轉(zhuǎn)移模型中的核心部分，但由于當(dāng)前的負載轉(zhuǎn)移決策大多數(shù)是靜態(tài)決策，對于資源環(huán)境的變化應(yīng)對能力較弱，不能實時保證決策的有效性。 為解決以上問題，本文提出了基于全局性能優(yōu)化的動態(tài)決策策略，本文的動態(tài)決策策略主要包含兩部分內(nèi)容： （1）對于決策結(jié)果的有效性分析，在應(yīng)用的執(zhí)行過程中，周期性地調(diào)用資源監(jiān)控模塊得到當(dāng)前的資源信息，分析當(dāng)前決策的有效性，一旦發(fā)現(xiàn)錯誤決策，及時糾正。 （2）對于決策相關(guān)的計算模型的有效性分析，，通過分析以往的實際執(zhí)行結(jié)果，分析當(dāng)前決策相關(guān)的計算模型（應(yīng)用的執(zhí)行時間估算模型和應(yīng)用的執(zhí)行能耗估算模型）的有效性，一旦發(fā)現(xiàn)當(dāng)前的計算模型的計算結(jié)果誤差較大時，及時更改計算模型，以保證后續(xù)決策的有效性。 （3）對于一個應(yīng)用的完整執(zhí)行路徑，分析歷史執(zhí)行路徑的總執(zhí)行時間和總能耗，根據(jù)需要分析基于單個目標(biāo)函數(shù)的最佳決策，影響下一次的決策。
[Abstract]:With the emergence of smart phones, the computing power of mobile devices has been significantly improved, and the complexity of mobile applications has been put forward the corresponding high requirements, and the speed of the latter is far higher than that of the former. Solving the mismatch between them has become a problem that must be overcome in the development of mobile computing. There are two main solutions to solve the mismatch between the computing power of mobile devices and the complexity requirements of mobile applications. One is to overcome the problem of limited resources of mobile devices, which is mainly solved by the improvement of hardware. Second, more efficient use of existing limited resources to better meet the requirements of increasingly complex mobile applications, mobile load transfer is one of the more typical methods. The mobile load transfer decision strategy is the core part of the mobile load transfer model, but because most of the current load transfer decisions are static decisions, the ability to cope with the changes in the resource environment is weak, and the effectiveness of the decision cannot be guaranteed in real time. In order to solve the above problems, this paper proposes a dynamic decision strategy based on global performance optimization. The dynamic decision strategy in this paper mainly includes two parts: (1) for the effectiveness analysis of the decision results, in the implementation process of the application, Periodically call the resource monitoring module to obtain the current resource information, analyze the effectiveness of the current decision, once the wrong decision is found, correct it in time. (2) Analysis of the validity of the calculation model related to the decision. Based on the analysis of the previous actual execution results, the validity of the current decision related computing models (the applied execution time estimation model and the applied execution energy estimation model) is analyzed. Once the error of the current calculation model is found to be large, the calculation model can be changed in time to ensure the effectiveness of the subsequent decision. (3) for an application of the complete execution path, The total execution time and total energy consumption of the historical execution path are analyzed and the optimal decision based on a single objective function is analyzed according to the need to influence the next decision.
【學(xué)位授予單位】：東北師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN929.53;TP333

【參考文獻】

相關(guān)博士學(xué)位論文 前1條

1 伍宇;移動計算中自適應(yīng)負載轉(zhuǎn)移決策模型研究[D];復(fù)旦大學(xué);2012年

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