Edge Computing versus Cloud Computing: Impact on Retinal Image Pre-processing

被引：0

作者：

Kunas, Cristiano A. ^{[1
]}

Pinto, Dayla R. ^{[1
]}

Granville, Lisandro Z. ^{[1
]}

Serpa, Matheus S. ^{[1
]}

Padoin, Edson L. ^{[2
]}

Navaux, Philippe O. A. ^{[1
]}

机构：

[1] Fed Univ Rio Grande do Sul UFRGS, Inst Informat, Porto Alegre, RS, Brazil

[2] Reg Univ Northwestern Rio Grande do Sul UNIJUI, Ijui, Brazil

来源：

2022 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING WORKSHOPS (SBAC-PADW 2022) | 2022年

关键词：

high-performance computing; edge; cloud; pre-processing; diabetic retinopathy; DIABETIC-RETINOPATHY;

D O I：

10.1109/SBAC-PADW56527.2022.00018

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the emergence of new intelligent applications, there has been a revolution in information management, mainly including processing routines, storage, and computing capacity. Cloud computing is one of the most well-known and popular paradigms. However, there are still some barriers to cloud adoption. Edge computing serves as a decentralized extension and provides solutions that facilitate data processing at the generation source. This paper discusses the development of a retinal image pre-processing application for efficient use in screening systems and the impact that pre-processing has on network interconnection. Results show that the parallel version has reduced application execution time by up to approximate to 73%, decreasing by approximate to 11.5x the bandwidth used, achieving throughput above 5 images/second with Edge pre-processing, 2.57x higher than Cloud.

引用

页码：51 / 56

页数：6

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