A
system (100) for optimizing data caching in
content delivery networks (CDNs), comprising: a user behavior analysis module configured to capture and analyze real-time and historical user access patterns using
artificial intelligence (AI) and
machine learning (ML) algorithms to predict content demand; a predictive caching module operatively coupled to the user behavior analysis module and configured to cache frequently accessed content on edge servers based on predicted demand patterns; an adaptive cache replacement module configured to dynamically manage cache deletion and retention by taking into account
content popularity, request frequency, recency, and
network congestion; a multi-level hierarchical caching engine configured to organize content storage across edge servers, regional caches, and origin servers for optimized retrieval efficiency; a decentralized load balancer configured to distribute caching responsibilities among CDN nodes using
blockchain-based or
distributed ledger technology to prevent
network congestion and ensure
fault tolerance; a latency optimization module configured to determine the optimal placement of content based on user location,
device type, and network speed using
deep learning algorithms; a
bandwidth optimization module configured to reduce redundant data transfers by using intelligent prefetching, compression, and deduplication techniques; a real-time monitoring and self-learning module configured to track cache performance and dynamically adjust caching strategies based on evolving
network conditions and user behavior; a security and
data integrity module configured to provide encrypted data caching, access
authentication, and integrity checking across CDN nodes.