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
收藏
页码：51 / 56
页数：6
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