TY - GEN
T1 - Measurement-based IoT Server Selection for Mobile Edge Computing
AU - Bhooanusas, Nuntanut
AU - Sou, Sok Ian
N1 - Funding Information:
ACKNOWLEDGMENT The work of S.-I. Sou was sponsored in part by Ministry of Science and Technology (MOST), Taiwan, under the contract number MOST 108-2628-E-006-006-MY3.
Publisher Copyright:
© 2021 IEICE.
PY - 2021/9/8
Y1 - 2021/9/8
N2 - The exponential growth in a number of the smart devices connected to the Internet of Things (IoT) in recent years has resulted in a massive increase in the volume of user generated content. Edge computing has been proposed to reduce the communication latency and improve the security of the user data by moving the computation and storage functions of these services closer to the users. However, the transmission delay between the devices and the edge server has a critical effect on the performance of the data offloading service since most IoT applications are delay-intolerant. Accordingly, the present study presents the use of measurement-based selection to determine the server with the shortest delay. Overall, the results show that irrespective of the scale of the networks, this kind of method helps to select the server with a reasonable cost.
AB - The exponential growth in a number of the smart devices connected to the Internet of Things (IoT) in recent years has resulted in a massive increase in the volume of user generated content. Edge computing has been proposed to reduce the communication latency and improve the security of the user data by moving the computation and storage functions of these services closer to the users. However, the transmission delay between the devices and the edge server has a critical effect on the performance of the data offloading service since most IoT applications are delay-intolerant. Accordingly, the present study presents the use of measurement-based selection to determine the server with the shortest delay. Overall, the results show that irrespective of the scale of the networks, this kind of method helps to select the server with a reasonable cost.
UR - http://www.scopus.com/inward/record.url?scp=85118151539&partnerID=8YFLogxK
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U2 - 10.23919/APNOMS52696.2021.9562604
DO - 10.23919/APNOMS52696.2021.9562604
M3 - Conference contribution
AN - SCOPUS:85118151539
T3 - 2021 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021
SP - 17
EP - 20
BT - 2021 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021
Y2 - 8 September 2021 through 10 September 2021
ER -