Efficient AI Applications in Edge-Cloud Environments

IF 0.7 4区计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Journal of Web Engineering Pub Date : 2023-09-01

In-Young Ko;Michael Mrissa;Juan Manuel Murillo;Abhishek Srivastava

引用次数: 0

Abstract

The international workshop on Big Data-Driven Edge Cloud Services (BECS) provides a venue for scholars and practitioners to share their experiences and present their ongoing work in the development of data-driven AI applications and services in a distributed computing environment known as the edge cloud. The third edition of the workshop (BECS 2023) ¹ ¹ https://becs.kaist.ac.kr/iwbecs2023/ was held in conjunction with the 23rd International Conference on Web Engineering (ICWE 2023), ² ² https://icwe2023.webengineering.org/ which was held in Alicante, Spain on June 6-9, 2023.

查看原文本刊更多论文

边缘云环境中的高效人工智能应用

大数据驱动的边缘云服务（BECS）国际研讨会为学者和从业人员提供了一个场所，分享他们在边缘云分布式计算环境中开发数据驱动的人工智能应用和服务的经验，并介绍他们正在开展的工作。第三届研讨会（BECS 2023）11https://becs.kaist.ac.kr/iwbecs2023/，与第23届国际网络工程大会（ICWE 2023）22https://icwe2023.webengineering.org/，后者于2023年6月6日至9日在西班牙阿利坎特举行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Web Engineering 工程技术-计算机：理论方法

CiteScore

1.80

自引率

12.50%

发文量

审稿时长

9 months

期刊介绍： The World Wide Web and its associated technologies have become a major implementation and delivery platform for a large variety of applications, ranging from simple institutional information Web sites to sophisticated supply-chain management systems, financial applications, e-government, distance learning, and entertainment, among others. Such applications, in addition to their intrinsic functionality, also exhibit the more complex behavior of distributed applications.