Many Internet-of-Things (IoT) systems use lightweight JavaScript engines to support easy programming in microcontrollers. Lightweight JavaScript engines use several techniques for memory optimization, such as static heap reservation and compressed addressing. Recent IoT systems also use several external libraries and a larger on-chip memory to support abundant functionalities, such as machine learning and connectivity. However, as the JavaScript heap space is not resizable owing to the memory

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... timizations, the JavaScript engine or an external library is prone to fail the memory allocation in these devices. To address this problem, we propose a flexible memory optimization technique, segment-based multiple-base compressed addressing (SMBCA), which compresses a pointer indicating a JavaScript object allocated to a resizable heap based on multiple base addresses. SMBCA comprises two components: a dynamic segment allocator (DSA) and a multiple-base compressed address translator (MBCAT). DSA dynamically allocates the JavaScript heap in segment units. Meanwhile, MBCAT converts a low-bitwidth address into a full-bitwidth address and vice versa, based on the multiple base addresses. To reduce the address compression overhead of MBCAT, we propose a software cache technique, reverse map cache (RMC). We found that the SMBCA reduces average memory usage by 43.9% compared to the existing lightweight JavaScript engines when running SunSpider benchmarks, V8 benchmarks, and real-world applications. We also showed that the RMC reduces the average address compression latency of MBCAT by 34.9% when running the SunSpider benchmarks. INDEX TERMS Compressed addressing, Internet of Things, JavaScript, memory management, microcontroller.