• Subhadra Kompella
• Shanti Chilukuri

In view of the extensive usage of wireless networks for divergent applications in recent times, providing network solutions that result in good Quality of Experience (QoE) is a challenging task. Newer network proposals such as 5G networks have stringent network performance requirements even for dense networks with huge amount of traffic. Caching data on the network edge instead of the in the core network is a strategy that showed good promise towards meeting this goal. However, edge caching requires a good strategy that can suggest the location to cache and the content to be cached. Data mining and analytics techniques such as clustering and pattern recognition using data about the network such as the network usage patterns, resources and topology have been used successfully for effective edge caching. In this paper, we study the state-of-the-art that combines the two emerging and important techniques of edge caching and data mining and analysis for improved network performance, with the aim of identifying gaps in research in this area. We also put-forth the major challenges faced while using data mining and analysis techniques for edge caching.

wireless networks; edge caching; data mining; QoS.

"Data Mining and Analytics for Edge Caching", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.448-453, May-2019, Available :http://www.jetir.org/papers/JETIR1905959.pdf

"Data Mining and Analytics for Edge Caching", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp448-453, May-2019, Available at : http://www.jetir.org/papers/JETIR1905959.pdf