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Intelligent Hybrid Caching for Sustainable Big Data Processing: Leveraging NVM to Enable Green Digital Transformation

Author

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  • Lei Tong

    (School of Business Administration, Wuhan Business University, Wuhan 430000, China
    Hubei SME Mathematical Intellectualization Innovation Development Research Center, Wuhan Business University, Wuhan 430000, China)

  • Qing Shen

    (Hubei SME Mathematical Intellectualization Innovation Development Research Center, Wuhan Business University, Wuhan 430000, China
    School of Artificial Intelligence and Big Data, Wuhan Business University, Wuhan 430000, China)

  • Zhenqiang Xie

    (CETC Big Data Research Institute Co., Ltd., Guiyang 550000, China
    National Engineering Research Center of Big Data Application to the Improvement of Governance Capacity, Guiyang 550000, China)

Abstract

Apache Spark has gained widespread adoption for large-scale data processing. However, conventional caching methods inadequately address the dual challenges of performance bottlenecks and escalating energy consumption in data-intensive workloads. This paper introduces a sustainable computing framework that integrates Directed Acyclic Graph (DAG) dependency analysis with garbage collection (GC) behavior monitoring to optimize data placement between DRAM and non-volatile memory (NVM). The proposed Intelligent Hybrid Caching Management Framework (IHCMF) dynamically predicts data access patterns and migrates cache blocks based on cost–benefit analysis, achieving a 37.5% execution time reduction over default Spark configurations in SparkBench evaluations. By improving throughput-per-watt and projecting potential benefits from NVM’s near-zero idle power and extended hardware lifespan, IHCMF provides a scalable, cost-effective caching solution for resource-constrained edge computing environments. This work demonstrates that high-performance computing can be reconciled with environmental sustainability through intelligent memory management.

Suggested Citation

  • Lei Tong & Qing Shen & Zhenqiang Xie, 2026. "Intelligent Hybrid Caching for Sustainable Big Data Processing: Leveraging NVM to Enable Green Digital Transformation," Sustainability, MDPI, vol. 18(5), pages 1-23, March.
    • Handle: RePEc:gam:jsusta:v:18:y:2026:i:5:p:2601-:d:1881414
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