Open AccessA Smart Cache Lockdown Technique for IoT System
Author(s) -
Doosan Cho
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1927/1/012003
Subject(s) - computer science , cache , cache pollution , embedded system , cache coloring , page cache , battery (electricity) , cpu cache , cache algorithms , computer hardware , power (physics) , computer network , physics , quantum mechanics
Applications used in IoT network devices are multimedia or control signal processing devices that process data streams. These devices are primarily designed as battery powered things. As battery operation time has become an important parameter, specialized optimization techniques are studied and applied to increase the battery operation time for IoT devices. In IoT device components, the memory is a representative one to consume large portion of energy. Thus, memory optimization techniques are being studied in IoT devices. In this study, a technique is proposed to optimize use of cache memory. With aggressive use of cache memory, it leads to reduce power consumption of the memory system. The cache memory consumes less power and is faster than the main memory, so its aggressive use helps IoT system’s power efficiency and performance. This study provides a technique to improve energy and performance by extracting frequently used data blocks and locking the data into cache to prevent eviction and increase cache’s hit ratio.