A Maximum Cache Value Policy in Hybrid Memory-Based Edge Computing for Mobile Devices

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

7 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)4401-4410
Journal / PublicationIEEE Internet of Things Journal
Volume6
Issue number3
Online published31 Oct 2018
Publication statusPublished - Jun 2019

Abstract

Edge computing is proposed to bridge mobile devices with cloud computing data centers in the era of mobile big data, as an intermediate level of computing power. One important issue in edge computing is how to improve performance for mobile devices. Current systems utilize cache in multicore systems to reduce memory access cost with an acceptable hardware cost. However, existing cache management policies are unable to maximize cache value in the newly developed hybrid memory platform that combines phase-change memory and dynamic random-access memory. In this paper, we propose maximizes cache value (MCV), an efficient cache management policy, which MCV to minimize memory access cost in a hybrid main memory platform for edge computing. Extensive simulation studies indicate that this strategy can improve performance in hybrid main memory-based edge computing for mobile devices.

Research Area(s)

  • Big Data, cache, Edge computing, mobile devices, phase-change memory (PCM)