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Saad Abdullah AlAhmadi | سعد عبدالله الأحمدي

Associate Professor

Associate Professor in Computer Science - Specialty: Cybersecurity, IoT, Adversarial Machine Learning

علوم الحاسب والمعلومات
Building 31 (CCIS Building) - 2nd Floor - Room 2179
publication
Journal Article
2023

PF-EdgeCache: Popularity and freshness aware edge caching scheme for NDN/IoT networks, Pervasive and Mobile Computing

Named Data Networking (NDN) is considered an appropriate architecture for IoT as it naturally supports consumer mobility and provides in-network caching capabilities as leverage to meet IoT requirements. Some caching techniques have been introduced to meet IoT application requirements and enforce the caching at the network edge. However, it remains challenging to design a popularity and freshness aware caching technique that places cached contents at the edge of the network as close to consumers as possible in a natural and simple manner without resorting to cumbersome networking mechanisms and hard-to-insure assumptions. In this paper, we propose PF-EdgeCache, an efficient popularity and freshness aware caching technique that naturally brings requested popular contents to the edge of the network in a manner fully compliant with the NDN standard. Simulations performed using the ndnSIM simulator and a large transit stub topology clearly show the competitiveness of PF-EdgeCache in terms of server hit reduction, eviction rate, and retrieval time compared to some representative work proposed in the literature.

Publication Work Type
Research
Publisher Name
Pervasive and Mobile Computing, Elsevier
Volume Number
91
Pages
101782
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