Garbage Collection for Edge Computing

被引：1

作者：

Garcia, Andres Amaya ^{[1
]}

May, David ^{[1
]}

Nutting, Ed ^{[1
]}

机构：

[1] Univ Bristol, Bristol, Avon, England

来源：

2020 IEEE/ACM SYMPOSIUM ON EDGE COMPUTING (SEC 2020) | 2020年

关键词：

Garbage Collection; Memory; Real-Time; Edge Computing; Memory Management;

D O I：

10.1109/SEC50012.2020.00044

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The shift towards edge computing is bringing data processing and storage closer to the edge of the network. This makes it desirable to use productive modern programming languages, like Python and C#, to program edge devices. Modern programming languages mitigate the added complexity of edge computing by abstracting software developers away from tedious tasks like freeing unused memory. But these languages rely on garbage collectors that impose high overheads and introduce unpredictable pauses, so they are rarely used in small embedded systems that make up the majority of edge devices. We propose a novel hardware garbage collector that addresses these problems to unlock the benefits of modern languages in edge devices.

引用

页码：319 / 319

页数：1