Searching for an Intuitive Metric for Scalable Internet of Things.

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Bibliographic Details
Title: Searching for an Intuitive Metric for Scalable Internet of Things.
Authors: Xu, Zhi-Wei1 (AUTHOR) zxu@gbu.edu.cn
Source: Journal of Computer Science & Technology (10009000). Sep2025, Vol. 40 Issue 5, p1181-1181. 1p.
Subjects: Scalability, Internet of things, Gaging, Distributed computing
Abstract: The article focuses on the challenge of scalability in Internet of Things (IoT) systems and the need for an intuitive metric to measure it. It discusses the historical context of scalability in computing, referencing significant contributions like Gustafson's law, which addresses limitations in Amdahl's law. The author highlights the absence of a similar metric for distributed systems, including IoT, and introduces a new scalability indicator (SI) formula based on data from real IoT systems over the past 25 years. This SI metric aims to guide the design of future IoT systems by quantitatively characterizing their scalability as the number of nodes increases. [Extracted from the article]
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Database: Engineering Source
Description
Abstract:The article focuses on the challenge of scalability in Internet of Things (IoT) systems and the need for an intuitive metric to measure it. It discusses the historical context of scalability in computing, referencing significant contributions like Gustafson's law, which addresses limitations in Amdahl's law. The author highlights the absence of a similar metric for distributed systems, including IoT, and introduces a new scalability indicator (SI) formula based on data from real IoT systems over the past 25 years. This SI metric aims to guide the design of future IoT systems by quantitatively characterizing their scalability as the number of nodes increases. [Extracted from the article]
ISSN:10009000
DOI:10.1007/s11390-025-0004-7