分布式计算连续体系统的编程框架

IF 1.4 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Science of Computer Programming Pub Date : 2025-07-24 DOI:10.1016/j.scico.2025.103366

Zhehao Zhao, Yifeng Chen

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引用次数: 0

摘要

分布式计算连续系统（DCCS）在相同的网络环境中集成了大规模的云计算端和广域异构边缘计算端，因此是比云计算或边缘计算更通用的计算范式。目前还没有适合支持DCCS应用程序开发的编程技术。在本文中，我们介绍了一个称为Wolfs的编程框架，它只使用编程语言理论中的基本编程结构。该框架是以通信为中心的，因为高层通信模型和低层通信协议在层次结构中组织。数据处理计算作为操作插入到层次结构中。这种设计允许应用程序级信息影响网络路由和连接管理。Wolfs编程在两个案例研究中进行了演示。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A programming framework for distributed computing continuum systems

Distributed Computing Continuum Systems (DCCS) integrate a large-scale cloud side and a wide-area heterogeneous edge side within the same network environment and is therefore a more general computing paradigm than cloud or edge computing. There are currently no programming technologies suitable for the support of DCCS application development. In this paper, we introduce a programming framework called Wolfs, which uses only basic programming constructs from programming-language theories. The framework is communication-centric in the sense that high-level communication models and lower-level communication protocols are organised in a hierarchy. Data-processing computations are inserted in the hierarchy as actions. This design allows application-level information to influence network routing and connection management. Wolfs programming is demonstrated in two case studies.

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来源期刊

Science of Computer Programming 工程技术-计算机：软件工程

CiteScore

3.80

自引率

0.00%

发文量

审稿时长

67 days

期刊介绍： Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design. The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice. The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including • Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software; • Design, implementation and evaluation of programming languages; • Programming environments, development tools, visualisation and animation; • Management of the development process; • Human factors in software, software for social interaction, software for social computing; • Cyber physical systems, and software for the interaction between the physical and the machine; • Software aspects of infrastructure services, system administration, and network management.