Mobile-Edge Computing and the Internet of Things for Consumers Extending cloud computing and services to the edge of the network

被引:162
作者
Corcoran, Peter
Datta, Soumya Kanti
机构
关键词
Quality of service - Network architecture - Telecommunication services - Mobile edge computing - Data handling - Geographical distribution - Real time systems - Emergency services - Location based services;
D O I
10.1109/MCE.2016.2590099
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Current activities in the Internet of Things (IoT) are focused on architectures, protocols, and networking for the efficient interconnection of heterogeneous things, infrastructure deployment, and creation of value-added services. The majority of the IoT products, services, and platforms are supported by cloud-computing platforms. With the IoT being a multidisciplinary ecosystem, it is now being utilized in connection with scenarios demanding real-time data processing and feedback, for example, connected and autonomous vehicles scenarios. Cloud platforms are not suitable for scenarios involving real-time operation, low latency requirements, and high quality of service (QoS). Recently, mobile-edge computing (MEC) has gained momentum from the industry to address the mentioned requirements. MEC is a novel paradigm that extends cloud-computing capabilities and services to the edge of the network. Due to dense geographical distribution, proximity to consumers, support for high mobility, and open platform, MEC can support applications and services with reduced latency and improved QoS. Thus, MEC is becoming an important enabler of consumer-centric IoT applications and services that demand real-time operations. The OpenFog Consortium and standards development organizations like ETSI have also recognized the benefits the IoT and MEC can bring to consumers. Potential applications for MEC-enabled IoT include smart mobility, connected vehicles, emergency response, smart cities, content distribution, and location-based services. © 2012 IEEE.
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页码:73 / 74
页数:2
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