%0 Generic %1 Saad2021 %A Al-Ahmadi, Saad %D 2021 %J International journal of Computer Networks & Communications %K NDN CacheReplacement ICNNetwork posted_with_chatgpt %R 10.5121/ijcnc.2021.13502 %T A New Efficient Cache Replacement Strategy for Named Data Networking %U https://www.semanticscholar.org/paper/c4a9f88e5c542a98c8686c5a76640f1e579494f2 %X The Information-Centric Network (ICN) is a future internet architecture with efficient content retrieval and distribution. Named Data Networking (NDN) is one of the proposed architectures for ICN. NDN’s innetwork caching improves data availability, reduce retrieval delays, network load, alleviate producer load, and limit data traffic. Despite the existence of several caching decision algorithms, the fetching and distribution of contents with minimum resource utilization remains a great challenge. In this paper, we introduce a new cache replacement strategy called Enhanced Time and Frequency Cache Replacement strategy (ETFCR) where both cache hit frequency and cache retrieval time are used to select evicted data chunks. ETFCR adds time cycles between the last two requests to adjust data chunk’s popularity and cache hits. We conducted extensive simulations using the ccnSim simulator to evaluate the performance of ETFCR and compare it to that of some well-known cache replacement strategies. Simulations results show that ETFCR outperforms the other cache replacement strategies in terms of cache hit ratio, and lower content retrieval delay.

@Article{Saad2021, abstract = {The Information-Centric Network (ICN) is a future internet architecture with efficient content retrieval and distribution. Named Data Networking (NDN) is one of the proposed architectures for ICN. NDN’s innetwork caching improves data availability, reduce retrieval delays, network load, alleviate producer load, and limit data traffic. Despite the existence of several caching decision algorithms, the fetching and distribution of contents with minimum resource utilization remains a great challenge. In this paper, we introduce a new cache replacement strategy called Enhanced Time and Frequency Cache Replacement strategy (ETFCR) where both cache hit frequency and cache retrieval time are used to select evicted data chunks. ETFCR adds time cycles between the last two requests to adjust data chunk’s popularity and cache hits. We conducted extensive simulations using the ccnSim simulator to evaluate the performance of ETFCR and compare it to that of some well-known cache replacement strategies. Simulations results show that ETFCR outperforms the other cache replacement strategies in terms of cache hit ratio, and lower content retrieval delay.}, added-at = {2023-10-21T15:58:56.000+0200}, author = {Al-Ahmadi, Saad}, biburl = {https://www.bibsonomy.org/bibtex/21941780216bea1caf35a3b9a13dca1fd/livie}, day = 30, description = {Paper ini memperkenalkan strategi penggantian cache baru untuk NDN yang disebut Enhanced Time and Frequency Cache Replacement strategy (ETFCR). Strategi ini menggunakan frekuensi hit cache dan waktu pengambilan cache untuk memilih potongan data yang dikeluarkan.}, doi = {10.5121/ijcnc.2021.13502}, interhash = {aeea54e92123ba559614a0767eb24ab6}, intrahash = {1941780216bea1caf35a3b9a13dca1fd}, journal = {International journal of Computer Networks & Communications}, keywords = {NDN CacheReplacement ICNNetwork posted_with_chatgpt}, month = {9}, timestamp = {2023-10-21T15:58:56.000+0200}, title = {A New Efficient Cache Replacement Strategy for Named Data Networking}, url = {https://www.semanticscholar.org/paper/c4a9f88e5c542a98c8686c5a76640f1e579494f2}, year = 2021 }