A Two-Tier GDSF–GDS Caching Framework for High-Performance Content Delivery Networks.
DOI:
https://doi.org/10.37376/ljst.v15i2.7649Keywords:
Content Delivery Networks, Distributed Sys-tems, Cache, RAM, SSD, AlgorithmAbstract
This paper presents a two-tier caching mechanism for content delivery networks (CDNs) that
employs Greedy Dual Size Frequency (GDSF) in RAM and Greedy Dual Size (GDS) in SSDs. The
proposed hybrid GDSF–GDS strategy is evaluated against widely used baseline policies, including
LRU, LFU, and single-tier GDS-based caching. The design separates small, high-frequency objects
in RAM from larger, low-frequency objects in SSDs to balance freshness, cost, and performance.
Cost is modeled in terms of storage-tier utilization and object size awareness, capturing the
trade-off between limited RAM resources and SSD capacity. Simulation experiments using
100,000 Zipf-distributed requests (α = 1.8) demonstrate a significant improvement in cache hit
ratio compared to LRU, along with a substantial reduction in origin server fetches and lower
access latency. A dynamic Time-to-Live (TTL) policy further maintains content freshness. Over
all, the results indicate that the proposed two-tier GDSF–GDS approach improves efficiency and
reduces latency in CDN environments.
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