Energy-Aware Caching Strategies for Faster Data Retrieval in Low-Latency Pipelines

Main Article Content

Rajas Paresh Kshirsagar

Abstract

As data processing demands continue to grow, ensuring low-latency and high-efficiency data retrieval becomes crucial for modern systems. Caching mechanisms play a significant role in reducing access times, but conventional caching strategies often overlook energy consumption. This paper introduces energy-aware caching strategies that balance data retrieval speed and energy efficiency, focusing on optimizing cache placement, size, and access patterns in low-latency pipelines. Through comparative analysis and simulations, the proposed strategy demonstrates a significant reduction in energy consumption with minimal impact on retrieval times. The findings offer a roadmap for designing more sustainable low-latency systems.

Article Details

How to Cite
Kshirsagar, R. P. (2024). Energy-Aware Caching Strategies for Faster Data Retrieval in Low-Latency Pipelines. Journal of Quantum Science and Technology (JQST), 1(1), Jan(87–94). Retrieved from https://jqst.org/index.php/j/article/view/27
Section
Review Article

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• Author : Harshita Cherukuri1, Villa 188, My Home Ankura, Sector B, Radial Road-7, Exit No 2, Tellapur, Cyberabad-sangareddy, 502032, Telangana, India , Dr. Bhawna Goel , Dr. Poornima Tyagi

• DOI LINK : 10.56726/IRJMETS60903 doi 10.56726/IRJMETS60903"

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