Enhanced access level-based Circular Replication for CDN performance using CRANNS

The reliance of users on the Internet or web and need of fast access for official or personal use is increasing load on servers which also increases the challenges for developers to provide fast access. Content Delivery Networks (CDNs) playing a crucial role to overcome these challenges by helping content providers deliver web content efficiently to end-users through geographically distributed surrogate servers (SS). This requires selection of effective web contents from the origin server (OS) for replication on surrogate servers. In this work, optimizing content replication techniques named Circular Replication among Neighbor Surrogate Servers (CRANSS) is proposed. This technique considers access level of surrogate servers (SS) based on their association with neighbor SS for contents replication decision also CRANSS evaluates the access levels of surrogate servers based on their association with neighboring SS. It also allows for strategic content replication decisions and considers storage capacity of SS and requests pattern of end-users. For evaluation the proposed technique, Network simulator — ns-2 used, and 10 surrogate servers (SS) with one origin​ server (OS) were set. The results of CRANSS are compared with random, round-robin and popularity-based methods. The simulation results show that average response time (1.65 to 1.99), completed response requests (95.06 to 95.43) and load imbalance index (14.27 to 17.25) is better in proposed system. This proposed technique ensures enhancing the overall web experience by providing faster, optimal use of resources and more reliable access to web content. The aim is to ensure efficient utilization of resources keeping in view end-users perceived Quality of Service (QoS) of accessing web content as per the needs of today’s digital landscape.