Searching for an Intuitive Metric for Scalable Internet of Things.
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| 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] |
| Copyright of Journal of Computer Science & Technology (10009000) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 189534713 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Searching for an Intuitive Metric for Scalable Internet of Things. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Xu%2C+Zhi-Wei%22">Xu, Zhi-Wei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zxu@gbu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer+Science+%26+Technology+%2810009000%29%22">Journal of Computer Science & Technology (10009000)</searchLink>. Sep2025, Vol. 40 Issue 5, p1181-1181. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Scalability%22">Scalability</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Gaging%22">Gaging</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+computing%22">Distributed computing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Computer Science & Technology (10009000) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=189534713 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11390-025-0004-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: 1181 Subjects: – SubjectFull: Scalability Type: general – SubjectFull: Internet of things Type: general – SubjectFull: Gaging Type: general – SubjectFull: Distributed computing Type: general Titles: – TitleFull: Searching for an Intuitive Metric for Scalable Internet of Things. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xu, Zhi-Wei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10009000 Numbering: – Type: volume Value: 40 – Type: issue Value: 5 Titles: – TitleFull: Journal of Computer Science & Technology (10009000) Type: main |
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