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毕业论文网 > 开题报告 > 电子信息类 > 电子信息工程 > 正文

移动边缘计算中延迟与计算力分析开题报告

 2020-02-18 04:02  

1. 研究目的与意义(文献综述)

1.1 研究意义
在过去的十年中,移动设备的普及和移动互联网流量的指数增长推动了无线通信和网络的巨大进步。

高速且高度可靠的空中接口允许在远程云数据中心运行移动设备的计算服务,从而形成称为移动云计算(mcc)[1]。

然而,mcc存在固有的限制,即从最终用户到远程云中心的长传播距离,这将导致移动应用的过长延迟。

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2. 研究的基本内容与方案

2.1研究的基本内容
(1)介绍移动边缘计算的概念、结构及存在问题;
(2)优化移动边缘计算中延迟与计算力之间的折中分配问题。


2.2研究的目标
(1)如何在移动边缘计算中动态分配计算资源;
(2)优化现有算法,实现计算资源的合理利用。


2.3拟采用的技术方案及措施
拟构造一个模型,在t时刻,边缘网络b以及b的临近边缘网络b1,b2…,已接入b的设备x1,x2 …… xn-1,以及待接入的设备xn。

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3. 研究计划与安排

(1) 第1周—第4周 搜集资料,撰写开题报告;
(2) 第5周—第6周 论文开题;
(3)第7周—第12周 撰写论文初稿;
(4) 第13周—第15周 修改论文;
(5 )第16周 论文答辩。



4. 参考文献(12篇以上)

[1] Nasir Abbas, Yan Zhang, Amir Taherkordi, and Tor Skeie, “Mobile Edge Computing: A Survey ”, IEEE INTERNET OF THINGS JOURNAL, VOL. 5, NO. 1, PP. 450-465, 2018
[2] Yuyi Mao, Changsheng You, Jun Zhang, Kaibin Huang, Khaled B. Letaief , “A Survey on Mobile Edge Computing: The Communication Perspective ”, IEEE COMMUNICATIONS SURVEYS amp; TUTORIALS, VOL. 19, NO. 4, PP. 2322-2358, FOURTH QUARTER 2017
[3] Tarik Taleb, Konstantinos Samdanis, Badr Mada, Hannu Flinck, Sunny Dutta, and Dario Sabella, “On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration ” , IEEE COMMUNICATIONS SURVEYS amp; TUTORIALS, VOL. 19, NO. 3, PP. 1657-1681, THIRD QUARTER 2017
[4] Marjan Gusev, Schahram Dustdar, “Going Back to the Roots—The Evolution of Edge Computing, An IoT Perspective”, IEEE Internet Computing, Vol. 22, no. 2, pp. 5-15, 2018
[5] Xiuquan Qiao , Pei Ren , Schahram Dustdar, Junliang Chen, “A New Era for Web AR with Mobile Edge Computing”, IEEE Internet Computing, vol. 22, no. 4, pp. 46-55, 2018
[6] Hesham El-Sayed ; Sharmi Sankar ; Mukesh Prasad ; Deepak Puthal ; Akshansh Gupta ; Manoranjan Mohanty ; Chin-Teng Lin, “Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment”, IEEE Access, vol. 6, 1706-1717, 2018
[7] Gopika Premsankar ; Mario Di Francesco ; Tarik Taleb, “Edge Computing for the Internet of Things: A Case Study”, IEEE Internet of Things Journal, vol. 5, no. 2, pp. 1275-1284, 2018.
[8] Dario Sabella ; Alessandro Vaillant ; Pekka Kuure ; Uwe Rauschenbach ; Fabio Giust, “Mobile-Edge Computing Architecture: The role of MEC in the Internet of Things”, IEEE Consumer Electronics Magazine, vol. 5, no. 4, pp. 84-91, 2016
[9] Wei Yu ; Fan Liang ; Xiaofei He ; William Grant Hatcher ; Chao Lu ; Jie Lin ; Xinyu Yang, “A Survey on the Edge Computing for the Internet of Things”, IEEE Access, vol. 6, pp. 6900, 6919, 2018
[10] Jingyun Feng ; Zhi Liu ; Celimuge Wu ; Yusheng Ji, “Mobile Edge Computing for the Internet of Vehicles: Offloading Framework and Job Scheduling”, IEEE Vehicular Technology Magazine, vol. 99, no.1, pp.1-9, 2018
[11] Kang Cheng ; Yinglei Teng ; Weiqi Sun ; An Liu ; Xianbin Wang;“Energy-Efficient Joint Offloading and Wireless Resource Allocation Strategy in Multi-MEC Server Systems” ,2018 IEEE International Conference on Communications (ICC) ;pp. 1-6, 2018
[12] Dingyi Zhang ; Jianzhi Tang ; Wentao Du ; Jinke Ren ; Guanding Yu;"Joint Optimization of Computation Offloading and UL/DL Resource Allocation in MEC Systems",2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);pp. 1-6, 2018
[13] Zhiyuan Tan ; F. Richard Yu ; Xi Li ; Hong Ji ; Victor C. M. Leung;'‘Virtual resource allocation for heterogeneous services in full duplex-enabled small cell networks with cache and MEC’,2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) ;pp. 163-168, 2017
[14] Long Zhang ; Yi Zhuang ; Wei Zhu;“A balanced scheduling algorithm for virtual cloud resources based on dynamic power-aware”,Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC) ;pp. 2075-2079, 2013
[15] Valentin Rakovic ; Daniel Denkovski;Liljana Gavrilovska ;“Aspects of Resource Scaling in 5G-MEC: Technologies and Opportunities”,2018 IEEE Globecom Workshops (GC Wkshps);pp. 1-6, 2018

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