选定的互联网通信协议的比较回顾

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Lukasz Kami'nski, Maciej Kozlowski, Daniel Sporysz, Katarzyna Wolska, Patryk Zaniewski, Radosław Roszczyk
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引用次数: 0

摘要

摘要随着各种各样的通信方法和协议,许多软件架构师都面临着选择服务共享信息的最佳方式的问题。为了使通信技术具有功能性和实用性,它应该使开发人员能够为处理后的数据定义一套完整的CRUD方法。研究团队比较了本文中最常用的数据传输协议和概念:REST、WebSocket、gRPC GraphQL和SOAP。一组web服务器是用Python实现的,每个服务器都使用一种经过检查的技术。然后,该团队为一组定义的操作执行了一个自动基准测试,测量时间和数据传输开销:创建一个实体,检索100个实体的列表,并获取一个实体的详细信息。测试旨在避免数据库连接或docker组合环境特性对结果的干扰。研究小组得出结论,gRPC是最有效、最可靠的数据传输方法。另一方面,GraphQL被证明是所有通信方法中最慢的。此外,它的服务器和客户端库在web服务器中的正确使用问题最多。SOAP没有参与基准测试,原因是与Python的兼容性有限,并且在现代web解决方案中不受欢迎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Review of Selected Internet Communication Protocols
Abstract With a large variety of communication methods and protocols, many software architects face the problem of choosing the best way for services to share information. For communication technology to be functional and practical, it should enable developers to define a complete set of CRUD methods for the processed data. The research team compared this paper’s most commonly used data transfer protocols and concepts: REST, WebSocket, gRPC GraphQL and SOAP. A set of web servers was implemented in Python, each using one of the examined technologies. Then, the team performed an automated benchmark measuring time and data transfer overhead for a set of defined operations: creating an entity, retrieving a list of 100 entities and fetching details of one entity. Tests were designed to avoid the results being interfered with by database connection or docker-compose environment characteristics. The research team has concluded that gRPC was the most efficient and reliable data transfer method. On the other hand, GraphQL turned out to be the slowest communication method of all. Moreover, its server and client libraries caused the most problems with proper usage in a web server. SOAP did not participate in benchmarking due to limited compatibility with Python and a lack of popularity in modern web solutions.
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来源期刊
Foundations of Computing and Decision Sciences
Foundations of Computing and Decision Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.20
自引率
9.10%
发文量
16
审稿时长
29 weeks
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