Effective Cache Placement for Content Delivery Networks in Fog Computing

Fog computing (FC) is a concept that encompasses cloud paradigm-like amenities to the edge of the network. The fog layer that complements the cloud-based concept aids in strengthening the standards of services (QoS) in time-sensitive activities. One such application of FC arises in the deployment of...

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Bibliographic Details
Published in:International journal of performability engineering 2024, Vol.20 (1), p.10
Main Authors: Priti, Kumari, Vandana, Dubey, Kavita, Patel, Sarika, Shrivastava, Parmeet, Kaur
Format: Article
Language:English
Subjects:
Cache
Caching
Cloud computing
Content delivery networks
Edge computing
Energy consumption
Energy storage
Network latency
Nodes
Placement
Storage capacity
User experience
Web content delivery
Online Access:Get full text
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Summary:Fog computing (FC) is a concept that encompasses cloud paradigm-like amenities to the edge of the network. The fog layer that complements the cloud-based concept aids in strengthening the standards of services (QoS) in time-sensitive activities. One such application of FC arises in the deployment of content delivery networks for reducing the latency in transferring content to customers and enhancing the user experience. This paper presents a fog-based system where fog nodes act as caches for content storage. Appropriate placement of cache nodes is important for fast content distribution to users and maintaining the QoS. Another challenge is to minimize energy expenditure while deploying caches at scale. To deal with these issues, a Connected Dominating Set (CDS) and popularity-based caching strategy in content distribution fog networks are suggested in this work. The content is sorted based on its past popularity and then CDS based rules have been developed to recommend the most ideal fog nodes (FNs) to place popular content or files. The selection of fog nodes as caches is performed based on factors of storage capacity, energy consumption, and user density (i.e., the number of neighbors of a fog node). Experiment outcomes authenticate the efficiency of the anticipated scheme without caching and random method of cache placement. In comparison to the without caching and random method, the proposed method produces better fog nodes as cache nodes, incurs a lower energy consumption and consumes less bandwidth.
ISSN:0973-1318
DOI:10.23940/ijpe.24.01.p2.1017