Octopus: A Cooperative Hierarchical Caching Strategy for Cloud Radio Access Networks
Tuyen X. Tran, Dario Pompili

TL;DR
This paper introduces Octopus, a cooperative hierarchical caching strategy for Cloud Radio Access Networks that reduces network costs and enhances user experience by optimizing cache placement across multiple layers.
Contribution
It proposes a novel cache hierarchy including a cloud-cache layer in C-RAN, with a heuristic cache management strategy to improve content delivery efficiency.
Findings
Significantly improves cache hit ratio
Reduces average content access delay
Lowers backhaul traffic load
Abstract
Recently, implementing Radio Access Network (RAN) functionalities on cloud-based computing platform has become an emerging solution that leverages the many advantages of cloud infrastructure, such as shared computing resources and storage capacity, while lowering the operational cost. In this paper, we propose a novel caching framework aimed at fully exploiting the potential of such Cloud-based RAN (C-RAN) systems through cooperative hierarchical caching which minimizes the network costs of content delivery and improves users' Quality of Experience (QoE). In particular, we consider the cloud-cache in the cloud processing unit (CPU) as a new layer in the RAN cache hierarchy, bridging the capacity-performance gap between the traditional edge-based and core-based caching schemes. A delay cost model is introduced to characterize and formulate the cache placement optimization problem, which…
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