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Item
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A Lost Sensor Data Recovery Scheme for Faster Data Stream Merging
http://hdl.handle.net/20.500.12678/0000007932
http://hdl.handle.net/20.500.12678/0000007932a1f7999b-fd84-4539-9a10-034415c13660
9ef2dba5-304b-4218-8e2b-19d77a0050da
Name / File | License | Actions |
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | A Lost Sensor Data Recovery Scheme for Faster Data Stream Merging | |||||
Language | en | |||||
Publication date | 2017-01-18 | |||||
Authors | ||||||
Ei Khaing Win | ||||||
Tomoki Yoshihisa | ||||||
Yoshimasa Ishi | ||||||
Tomoya Kawakami | ||||||
Yuuichi Teranishi | ||||||
Shinji Shimojo | ||||||
Description | ||||||
"Due to the recent development of sensing technologies, streaming servers deliver sensor data streams such as video or temperature data streams to many clients. In simple delivery scheme, the servers deliver streams to each client one by one though the data themselves are the same. When a client encounters data loss because of network disconnections or access failures, the server delivers a recovery stream to the client. As the number of the delivering streams increases, the server’s management load such as the computational power, memory usage, communication traffic, etc. increases. To reduce the number of the delivering streams, in this paper, we propose a lost sensor data recovery scheme for faster data streams merging. Our proposed scheme reduces the number of the streams managed by the server by merging some of them. To merge streams faster, the server removes some data from the recovery streams. From our evaluations, we confirmed that our proposed scheme can faster reduce the number of the streams. " |
||||||
Keywords | ||||||
sensor data stream delivery; IoT (Internet of Things), streaming distribution, sensor network | ||||||
Conference papers | ||||||
IPSJ-DPS-169 | ||||||
Jan. 20, 2017 | ||||||
Information Processing Society of Japan, Special Interest Groups | ||||||
Katsuura, Japan | ||||||
https://www.ipsj.or.jp/kenkyukai/event/dps169.html |