Mobile Edge Computing

Ching-Hsien Hsu; Shangguang Wang; Yan Zhang; Anna Kobusinska

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Mobile Edge Computing

机译：移动边缘计算

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The advent of mobile cloud computing has increased expectations for optimal and reliable services and support for mobile users. The large pool of cloud resources and services has enabled the emergence of many novel applications for smart environments. However, the state of the art of mobile cloud computing turns into a problem for communication-intensive applications, which need to meet the delay requirements. The problem becomes even more intense in smart cities or Internet of Things. Current cloud computing paradigm is unable to meet the requirements of low latency, location awareness, and mobility support.

机译：移动云计算的出现提高了人们对移动用户最佳可靠服务和支持的期望。庞大的云资源和服务池使得智能环境中出现了许多新的应用程序。然而，对于需要满足延迟要求的通信密集型应用程序来说，移动云计算的发展水平已经成为一个问题。在智能城市或物联网中，这个问题变得更加严重。当前的云计算模式无法满足低延迟、位置感知和移动支持的要求。

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来源
《Wireless communications & mobile computing》 |2018年第1期|共3页
作者
Ching-Hsien Hsu; Shangguang Wang; Yan Zhang; Anna Kobusinska;
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作者单位

School of Mathematics and Big Data Foshan University;

Beijing University of Posts and Telecommunications;

University of Oslo;

Poznan University of Technology;

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原文格式 PDF
正文语种 eng
中图分类无线通信;
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机译：终端云策划网络计算范式的调查：透明计算，移动边缘计算，雾计算和Cloudlet
2. Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research directions [J] . Elazhary Hanan Journal of network and computer applications . 2019,第FEBa期

机译：物联网（IoT），移动云，cloudlet，移动IoT，IoT云，雾，移动边缘和边缘新兴计算范例：消歧和研究方向
3. Satellite Mobile Edge Computing: Improving QoS of High-Speed Satellite-Terrestrial Networks Using Edge Computing Techniques [J] . Zhang Zhenjiang, Zhang Wenyu, Tseng Fan-Hsun IEEE Network . 2019,第1期

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4. Hybrid Mobile Edge Computing: Unleashing the Full Potential of Edge Computing in Mobile Device Use Cases [C] . Andreas Reiter, Bernd Prünster, Thomas Zefferer IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing . 2017

机译：混合移动边缘计算：在移动设备用例中释放边缘计算的全部潜力
5. A Reinforcement Learning-based Framework for Resource Allocation and Task Assignment in Mobile Edge Computing Networks [D] . Hsieh, Li-Tse. 2021

机译：基于加强学习的移动边缘计算网络中的资源分配和任务分配框架
6. An Efficient Computation Offloading Strategy with Mobile Edge Computing for IoT [O] . Juan Fang, Jiamei Shi, Shuaibing Lu, 2021

机译：具有IOT移动边缘计算的有效计算卸载策略
7. IEEE Access Special Section Editorial: Mobile Edge Computing and Mobile Cloud Computing: Addressing Heterogeneity and Energy Issues of Compute and Network Resources [O] . Muhammad Khurram Khan, Junaid Shuja, Yaser Jararweh, 2020

机译：IEEE访问专项部分编辑：移动边缘计算和移动云计算：解决计算和网络资源的异质性和能量问题
8. Suitability of Mobile Cloud Computing at the Tactical Edge. [R] . Salmanian, M., Brown, D., Perrett, K., 2014

机译：移动云计算在战术边缘的适用性。

Mobile Edge Computing

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