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Title:
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P2P LOAD DISTRIBUTION OF CONTENT DISTRIBUTION IN EDGE COMPUTING |
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Author(s):
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Takuya Fukuda, Noriko Matsumoto and Norihiko Yoshida |
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ISBN:
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978-989-8533-72-2 |
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Editors:
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Piet Kommers, Tomayess Issa, Pedro Isaías and Ana Hol |
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Year:
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2017 |
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Edition:
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Single |
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Keywords:
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Edge Computing, Content Distribution, Peer-to-Peer, Internet of Things |
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Type:
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Full Paper |
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First Page:
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27 |
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Last Page:
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34 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In recent years, the number of Internet of Things (IoT) devices/sensors and mobile devices has been rapidly increasing. Considering the increase of generated data and network traffic by them, problems such as cloud computing resource and network performance shortage will occur in the future. There are also problems such as transmission delay due to the cloud and the physical distance between them. To support these problems, a new computing paradigm named edge computing has been introduced. Edge computing is an architecture or concept that extends the traditional cloud to the edge of the network and physically distributes cloud-based facility close to the end user. The cloud-based facility is called the cloudlet. In this paper, we focused on content distribution by edge computing. There were inefficiencies in the content distribution, so it is found that the load would concentrate on the cloud. In order to solve this problem, we propose a load distribution method using peer-to-peer (P2P) between cloud and edge. We evaluate the method through simulation experiments. |
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