【摘要】：當(dāng)今,綠色計(jì)算早已成為各行業(yè)追逐的目標(biāo).在移動(dòng)云計(jì)算市場中,隨著云計(jì)算服務(wù)帶來的巨大商業(yè)利潤和移動(dòng)用戶數(shù)量的迅速增長,不斷成熟的5G移動(dòng)技術(shù)及將來的市場深入應(yīng)用,都將進(jìn)一步引起對綠色移動(dòng)云計(jì)算的新關(guān)注.降低移動(dòng)云計(jì)算能耗是實(shí)現(xiàn)綠色計(jì)算的基礎(chǔ)性工作.該文首先對5G下移動(dòng)云計(jì)算能耗問題的研究方式進(jìn)行分析;其次,評(píng)述、分析5G多項(xiàng)關(guān)鍵技術(shù)在網(wǎng)絡(luò)設(shè)施與通信節(jié)能研究中的現(xiàn)狀、存在的問題以及典型5G網(wǎng)絡(luò)服務(wù)模式的案例;然后,分析、對比并總結(jié)5G在移動(dòng)設(shè)備任務(wù)遷移和云服務(wù)中心兩個(gè)方面的節(jié)能表現(xiàn);最后,指出目前研究中存在的問題,并對未來的發(fā)展方向進(jìn)行了展望.研究表明,5G的出現(xiàn)為實(shí)現(xiàn)綠色移動(dòng)云計(jì)算帶來了機(jī)遇和挑戰(zhàn),今后的工作重點(diǎn)是對5G下移動(dòng)云計(jì)算的節(jié)能模型和方法進(jìn)行攻關(guān),為實(shí)際應(yīng)用提供堅(jiān)實(shí)的理論基礎(chǔ).
[Abstract]:Today, green computing has long been a target pursued by various industries. In the mobile cloud computing market, with the rapid growth of the huge business profit and the number of mobile users brought by cloud computing services, the 5G mobile technology and its application in the future are becoming more and more mature. Will further arouse the new attention to green mobile cloud computing. Reducing the energy consumption of mobile cloud computing is the basic work to realize green computing. This paper first analyzes the research methods of the energy consumption of mobile cloud computing under 5G, secondly, reviews the current situation of 5G key technologies in the research of network facilities and communication energy conservation. Then, the paper analyzes, compares and summarizes the energy saving performance of 5G in mobile device task migration and cloud service center. Finally, it points out the existing problems in the current research. The future development direction is also prospected. The research shows that the emergence of 5G brings opportunities and challenges to the realization of green mobile cloud computing. The focus of future work is to tackle the key issues of energy-saving models and methods of mobile cloud computing under 5G, which provides a solid theoretical basis for practical applications.
【作者單位】： 北京郵電大學(xué)可信分布式計(jì)算與服務(wù)教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金(61370069,61672111) 北京市自然科學(xué)基金(4162043) 霍英東基金(132032)資助~~
【分類號(hào)】：TN929.5;TP393.09

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