TADA:近似分布式协议工具包

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Science of Computer Programming Pub Date : 2024-07-23 DOI:10.1016/j.scico.2024.103175
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引用次数: 0

摘要

TADA 是一个独特的工具包,旨在促进近似分布式协议基元的使用和实施。TADA 采用 Java 开发,提供了几种近似协议算法的即用型实现,以及使程序员/研究人员能够轻松实现更多协议的工具:只需更改特定函数,就能创建新协议实现的模板;以及用于通信和并发控制的高级抽象。举例来说,该工具包包括一个可随时使用的实施方案,用于实现分布式进程之间的时钟同步。其他用例还包括传感器输入稳定和分布式机器学习,或其他分布式协议实例,在这些实例中,不能假定网络同步,可能需要拜占庭容错,并可容忍决策值的有界偏差。
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TADA: A Toolkit for Approximate Distributed Agreement

TADA is a unique toolkit designed to foster the use and implementation of approximate distributed agreement primitives. Developed in Java, TADA provides ready-to-use implementations of several approximate agreement algorithms, as well as the tools to enable programmers/researchers to easily implement further protocols: A template that enables new protocol implementations to be created by simply changing specific functions; and high-level abstractions for communication and concurrency control. As an example, the toolkit includes a ready-to-use implementation for clock synchronisation between distributed processes. Further use cases can include sensor input stabilisation and distributed machine learning, or other instances of distributed agreement where network synchrony cannot be assumed, byzantine fault tolerance may be required and a bounded divergence in decision values can be tolerated.

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来源期刊
Science of Computer Programming
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
76
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.
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