Garbage Collection for Edge Computing

García, Andrés Amaya; May, David; Nutting, Ed

doi:10.1109/sec50012.2020.00044

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…As the edge computing paradigm evolves, the popularity of high-level programming languages increases among IoT developers. For instance, Python relies on a wide variety of libraries and abstractions which encapsulate low-level optimizations and allow the expression of more functionality with less amount of code [3,4,5]. These features enable rapid application development, due to the limited programming effort required.…”

Section: Introductionmentioning

confidence: 99%

A memory footprint optimization framework for Python applications targeting edge devices

Katsaragakis

Papadopoulos

Konijnenburg

et al. 2023

Journal of Systems Architecture

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Section: Introductionmentioning

confidence: 99%

A memory footprint optimization framework for Python applications targeting edge devices

Katsaragakis

Papadopoulos

Konijnenburg

et al. 2023

Journal of Systems Architecture

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“…Concurrently, the paradigm of edge computing has emerged as a pivotal framework, enabling computational tasks to be performed closer to the data source (Brown, C., et al, 2022). The amalgamation of these two realms has given rise to the burgeoning field of edge computing offloading techniques tailored for wearable computers (Garcia, M., & Rodriguez, S., 2020). Understanding the contextual backdrop of wearable computing and the significance of edge computing offloading techniques is imperative for navigating the evolving landscape of mobile and pervasive computing.…”

Section: Introductionmentioning

confidence: 99%

Exploring Edge Computing Offloading Techniques for Wearable Computers: A Comprehensive Review

2023

SSSPE

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Wearable computers have become ubiquitous in our daily lives, seamlessly integrating technology into our attire. Concurrently, the paradigm of edge computing has emerged as a pivotal framework, enabling computational tasks to be performed closer to the data source. The amalgamation of these two realms has given rise to the burgeoning field of edge computing offloading techniques tailored for wearable computers. Understanding the contextual backdrop of wearable computing and the significance of edge computing offloading techniques is imperative for navigating the evolving landscape of mobile and pervasive computing. The relentless miniaturization of computing devices, coupled with the growing demand for real-time data processing, has catalyzed the need for efficient offloading strategies. This article delves into the intricacies of offloading techniques specifically designed for wearable computers, exploring their advantages and limitations. By surveying existing literature, we aim to provide a comprehensive understanding of the historical development and current state of edge computing offloading in the context of wearable technology.

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