Research Article Open Access

Segment-Aware Dynamic Partitioning PCM-DRAM: A Solution to IoT Devices Development Constraints

Qijin Zhu1, Shuyi Liu1, Zahid Akhtar2 and Kamran Siddique3
  • 1 School of Computing and Data Science, Xiamen University Malaysia, Sepang, Malaysia
  • 2 Department of Network and Computer Security, State University of New York Polytechnic Institute, Utica, United States
  • 3 Department of Computer Science and Engineering, University of Alaska Anchorage, Anchorage, AK, United States

Abstract

The Internet of Things(IoT) furnishes a visual blueprint for the future internet. It serves upsensors, actuators, and distal devices on the edge of the network, creating agiant interconnected network. The IoT era refers to the future where all theconceivable data streams are integrated into the IoT, granting human-barrierfree access to physical entities on the internet. Along with the rapid progressof IoT, pressing issues have emerged. Energy dissipation, limited processingefficiency, and confined memory have become severe constraints for the IoT era.Phase Change Memory with Dynamic Random-Access Memory (PCM-DRAM) is ahybrid memory system that has been proven to reduce energy dissipation. It isknown to have a great capacity, higher endurance, and low latency. In thisstudy, we first analyze the significant constraints faced in the IoTdevelopment. We then analyze how these constraints can be solved by PCM-DRAMmemory. To this end, we propose a PCM-DRAM hybrid memory system called“Segment-Aware and Dynamic Partitioning PCM-DRAM” (SADP PCM-DRAM). Our proposalis grounded in a meticulous evaluation of the specific requirements posed byIoT applications. Furthermore, we also proposed two essential equations forquantifying energy consumption and the overall performance in terms ofaverage memory hit time.

Journal of Computer Science
Volume 19 No. 10, 2023, 1212-1221

DOI: https://doi.org/10.3844/jcssp.2023.1212.1221

Submitted On: 7 October 2022 Published On: 5 September 2023

How to Cite: Zhu, Q., Liu, S., Akhtar, Z. & Siddique, K. (2023). Segment-Aware Dynamic Partitioning PCM-DRAM: A Solution to IoT Devices Development Constraints. Journal of Computer Science, 19(10), 1212-1221. https://doi.org/10.3844/jcssp.2023.1212.1221

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Keywords

  • IoT
  • PCM-DRAM
  • Hybrid Architecture
  • Main Memory
  • SADP PCM-DRAM