Open AccessReplicated Data Management Using Scaled Segment Chain in Unstable IoT Environments
Author(s) -
Siwoo Byun
Publication year - 2022
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v19i1/web19282
Subject(s) - computer science , edge computing , default gateway , computer network , enhanced data rates for gsm evolution , context (archaeology) , distributed computing , cloud computing , reliability (semiconductor) , server , real time computing , operating system , telecommunications , paleontology , power (physics) , physics , quantum mechanics , biology
IoT edge gateway reduces cloud computing's overload that redirect sensor data to remote servers. For reliable and efficient IoT gateway, column-based flash memory has become a reasonable storage due to its space efficiency and compression performance. This paper introduces recent IoT network and edge computing technology. It proposes efficient replication management called Context-mapped Segment Submirroring to support stable data services for sensor data in the edge-based IoT environment. Sensor context scaling and chained segment submirroring schemes are presented to improve the reliability and performance using IoT edge gateway. In the chained submirroring scheme, the sensor data are kept in the space-efficient storage of IoT edge. Consequently, sensor data transmission and mirroring storage cost can be minimized. The simulation results show that the proposed scheme outperforms the traditional scheme in respect of operation throughput and its response time.