Abstract
Data communication in the present Internet paradigm is dependent on fixed locations that disseminate similar data several times. As a result, the number of problems has been generated in which location dependency is the most crucial for communication. Therefore, Named Data Networking (NDN) is a new network architecture that revolutionized the handling gigantic amount of data generated from diverse locations. The NDN offers in-network cache which is the most beneficial feature to reduce the difficulties of location-based Internet paradigms. Moreover, it mitigates network congestion and provides a short stretch path in the data downloading procedure. The current study explores a new comparative analysis of popularity-based cache management strategies for NDN to find the optimal caching scheme to enhance the overall network performance. Therefore, the content popularity-based caching strategies are comparatively and extensively studied in an NDN-based simulation environment in terms of most significant metrics such as hit ratio, content diversity ratio, content redundancy, and stretch ratio. In this analysis, the Compound Popular Content Caching Strategy (CPCCS) has performed better in terms to enhance the overall NDN-based caching performance. Therefore, it is suggested that the CPCCS will perform better to achieve enhanced performance in emerging environments such as, Internet of Things (IoT), Fog computing, Edge computing, 5G, and Software Defined Network (SDN).
Highlights
The unbelievable growth of data traffic in the present Internet requires a high quality of information dissemination services with heterogeneous nature to reduce in-network congestion that is increasing exponentially
PERFORMANCE EVALUATION The performance of popularity-based caching strategies is evaluated in an Named Data Networking (NDN)-based simulation environment to check the effectiveness of all caching strategies to find the optimal solution on the bases of evaluation metrics
The results show that the Compound Popular Content Caching Strategy (CPCCS) is performing better with all the cache sizes as compared to other caching strategies
Summary
The unbelievable growth of data traffic in the present Internet requires a high quality of information dissemination services with heterogeneous nature to reduce in-network congestion that is increasing exponentially. The main issue which NDN-caching still facing is the selection of an appropriate router to caches the content during its transmission that can deliver minimum latency in data communication with low congestion and minimizes the distance between the consumers and providers. The WAVE distributes the number of chunks to the network according to the popularity of a content (the number of Interests received by a specific content) It exponentially increases the number of chunks to be cached and gradually forwards these chunks towards the consumers. A copy of OPC is cached at the all mutually connected routers along the data routing path to reduce the computational overhead and the high bandwidth cost for the dissemination of subsequent Interests and the caching state of mutually connected router is shared with its neighbor routers via a broadcast message to inform them about the location of OPC.
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