scholarly journals Compound Popular Content Caching Strategy in Named Data Networking

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 771 ◽  
Author(s):  
Naeem ◽  
Nor ◽  
Hassan ◽  
Kim
Keyword(s):  
Data Dissemination ◽  
Stretch Ratio ◽  
Data Traffic ◽  
Named Data Networking ◽  
Caching Strategy ◽  
Content Caching ◽  
Content Diversity ◽  
Cache Hit Ratio ◽  
Caching Mechanism ◽  
Data Networking

The aim of named data networking (NDN) is to develop an efficient data dissemination approach by implementing a cache module within the network. Caching is one of the most prominent modules of NDN that significantly enhances the Internet architecture. NDN-cache can reduce the expected flood of global data traffic by providing cache storage at intermediate nodes for transmitted contents, making data broadcasting in efficient way. It also reduces the content delivery time by caching popular content close to consumers. In this study, a new content caching mechanism named the compound popular content caching strategy (CPCCS) is proposed for efficient content dissemination and its performance is measured in terms of cache hit ratio, content diversity, and stretch. The CPCCS is extensively and comparatively studied with other NDN-based caching strategies, such as max-gain in-network caching (MAGIC), WAVE popularity-based caching strategy, hop-based probabilistic caching (HPC), LeafPopDown, most popular cache (MPC), cache capacity aware caching (CCAC), and ProbCache through simulations. The results shows that the CPCCS performs better in terms of the cache hit ratio, content diversity ratio, and stretch ratio than all other strategies.

scholarly journals Caching Strategy Based on Hierarchical Cluster for Named Data Networking

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 8433-8443 ◽  
Author(s):  
Huan Yan ◽  
Deyun Gao ◽  
Wei Su ◽  
Chuan Heng Foh ◽  
Hongke Zhang ◽  
...  
Keyword(s):  
Hierarchical Cluster ◽  
Named Data Networking ◽  
Caching Strategy ◽  
Data Networking

Boosting named data networking for data dissemination in urban VANET scenarios

2015 ◽  
Vol 2 (4) ◽  
pp. 195-207 ◽  
Author(s):  
Chaoyi Bian ◽  
Tong Zhao ◽  
Xiaoming Li ◽  
Wei Yan
Keyword(s):  
Data Dissemination ◽  
Named Data Networking ◽  
Data Networking

scholarly journals OFFLOADING LTE DATA TRAFFIC WITH NAMED-DATA NETWORKING INTEGRATION

2018 ◽  
Vol 54 (3A) ◽  
pp. 12
Author(s):  
Ong Mau Dung
Keyword(s):  
Mobile Network ◽  
Mobile Internet ◽  
Internet Technology ◽  
Single Server ◽  
Data Traffic ◽  
Named Data Networking ◽  
Huge Number ◽  
Caching Scheme ◽  
Real Trace ◽  
Data Networking

Nowadays, mobile Internet becomes increasingly popular and the number of mobile users is growing exponentially. With a traditional clients-server connection, servers are usually in overload state by a huge number of users accessing the service at the same time. Moreover, in a century of “green” Internet technology, it should be more effective in content distribution for a huge number of users. Named-Data Networking (NDN) had been proposed as the promising solution for above problem, which is a content name-oriented approach to disseminate content to edge gateways/routers. In NDN, popular contents are cached at routers for a certain time, and the previously queried one can be reused for multiple times to save bandwidth. In this paper, we propose a solution for Long Term Evolution (LTE) mobile network based on the concept of NDN. By OPNET Modeler simulation, we carry out the evaluation in realistic mobile network with a huge number of mobility LTE mobile stations access to a single server, where content names and content sizes are obtained from real trace of Internet traffic. The obtained results show that Evolved Packet Core (EPC) caching scheme can helps to further increases the quality of service as well as offloads server traffic significantly.

scholarly journals OFFLOADING LTE DATA TRAFFIC WITH NAMED-DATA NETWORKING INTEGRATION

2018 ◽  
Vol 54 (3A) ◽  
pp. 1
Author(s):  
Ong Mau Dung
Keyword(s):  
Mobile Network ◽  
Mobile Internet ◽  
Internet Technology ◽  
Single Server ◽  
Data Traffic ◽  
Named Data Networking ◽  
Huge Number ◽  
Caching Scheme ◽  
Real Trace ◽  
Data Networking

Nowadays, mobile Internet becomes increasingly popular and the number of mobile users is growing exponentially. With a traditional clients-server connection, servers are usually in overload state by a huge number of users accessing the service at the same time. Moreover, in a century of “green” Internet technology, it should be more effective in content distribution for a huge number of users. Named-Data Networking (NDN) had been proposed as the promising solution for above problem, which is a content name-oriented approach to disseminate content to edge gateways/routers. In NDN, popular contents are cached at routers for a certain time, and the previously queried one can be reused for multiple times to save bandwidth. In this paper, we propose a solution for Long Term Evolution (LTE) mobile network based on the concept of NDN. By OPNET Modeler simulation, we carry out the evaluation in realistic mobile network with a huge number of mobility LTE mobile stations access to a single server, where content names and content sizes are obtained from real trace of Internet traffic. The obtained results show that Evolved Packet Core (EPC) caching scheme can helps to further increases the quality of service as well as offloads server traffic significantly.

scholarly journals A New Efficient Cache Replacement Strategy for Named Data Networking

2021 ◽  
Vol 13 (5) ◽  
pp. 19-35
Author(s):  
Saad Al-Ahmadi
Keyword(s):  
Future Internet ◽  
Data Availability ◽  
Cache Replacement ◽  
Data Traffic ◽  
Named Data Networking ◽  
Future Internet Architecture ◽  
Replacement Strategy ◽  
Content Retrieval ◽  
Network Load ◽  
Data Networking

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.

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