CACHE-IT: A distributed architecture for proactive edge caching in heterogeneous IoT scenarios Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1016/j.adhoc.2024.103413
The Cloud-to-Things (C2T) continuum combines the proximity of edge infrastructure to the devices with cloud resources to optimize data processing and response time in the Internet of Things (IoT). Proactive edge caching is a potential solution for meeting latency constraints in C2T environments, enabling efficient data processing and storage while reducing redundant computation and cost. However, while 5G/6G infrastructural aspects and caching strategies are extensively studied, no frameworks facilitate the design and deployment of caching strategies or address IoT’s unique requirements. This paper proposes CACHE-IT, a proactive edge caching framework that decouples the caching strategy algorithm from the underlying architecture, enabling customization based on application-specific requirements. Through extensive simulations, we analyzed the impact of different configurations on system metrics and verified that the CACHE-IT positively impacts the system latency and hit rate. By implementing a scenario-specific caching strategy, we illustrate the CACHE-IT deployment in a real-world Structure Health Monitoring (SHM) system. The evaluation demonstrates that CACHE-IT impacts positively in terms of latency, hit rate, and the number of requests sent to data providers.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.adhoc.2024.103413
- OA Status
- hybrid
- Cited By
- 17
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391673012
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391673012Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.adhoc.2024.103413Digital Object Identifier
- Title
-
CACHE-IT: A distributed architecture for proactive edge caching in heterogeneous IoT scenariosWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-02-01Full publication date if available
- Authors
-
Ivan Zyrianoff, Lorenzo Gigli, Federico Montori, Luca Sciullo, Carlos Kamienski, Marco Di FeliceList of authors in order
- Landing page
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https://doi.org/10.1016/j.adhoc.2024.103413Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.adhoc.2024.103413Direct OA link when available
- Concepts
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Computer science, Cache, Enhanced Data Rates for GSM Evolution, Architecture, Distributed computing, Internet of Things, Computer network, Smart Cache, Computer architecture, Cache algorithms, CPU cache, Embedded system, Geography, Telecommunications, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
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17Total citation count in OpenAlex
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2025: 7, 2024: 10Per-year citation counts (last 5 years)
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50Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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