Performance Analysis of Caching Strategies in Information-Centric Networking

Author(s):  
Divya Gupta ◽  
Shalli Rani ◽  
Syed Hassan Ahmed
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 50057-50077 ◽  
Author(s):  
Muhammad Ali Naeem ◽  
Muhammad Atif Ur Rehman ◽  
Rehmat Ullah ◽  
Byung-Seo Kim

2015 ◽  
Vol 21 (11) ◽  
pp. 3505-3509 ◽  
Author(s):  
Ikram Ud Din ◽  
Suhaidi Hassan ◽  
Adib Habbal

Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4407 ◽  
Author(s):  
Meng ◽  
Naeem ◽  
Ali ◽  
Zikria ◽  
Kim

Information dissemination in current Vehicular Sensor Networks (VSN) depends on the physical location in which similar data is transmitted multiple times across the network. This data replication has led to several problems, among which resource consumption (memory), stretch, and communication latency due to the lake of data availability are the most crucial. Information-Centric Networking (ICN) provides an enhanced version of the internet that is capable of resolving such issues efficiently. ICN is the new internet paradigm that supports innovative communication systems with location-independent data dissemination. The emergence of ICN with VSNs can handle the massive amount of data generated from heterogeneous mobile sensors in surrounding smart environments. The ICN paradigm offers an in-network cache, which is the most effective means to reduce the number of complications of the receiver-driven content retrieval process. However, due to the non-linearity of the Quality-of-Experience (QoE) in VSN systems, efficient content management within the context of ICN is needed. For this purpose, this paper implements a new distributed caching strategy (DCS) at the edge of the network in VSN environments to reduce the number of overall data dissemination problems. The proposed DCS mechanism is studied comparatively against existing caching strategies to check its performance in terms of memory consumption, path stretch ratio, cache hit ratio, and content eviction ratio. Extensive simulation results have shown that the proposed strategy outperforms these benchmark caching strategies.


Author(s):  
Nour El Houda Fethellah ◽  
Hafida Bouziane ◽  
Abdallah Chouarfia

The Information Centric Networking ICN architectures are proposed to overcome the problems of the actual internet architecture. One of the main straight points of the ICN architectures is the in-network caching. The ICN performance is influenced by efficiency of the adopted caching strategy which manages the contents in the network and decides where caching them. However, the major issue which faces the caching strategies in the ICN architectures is the strategic election of the cache routers to store the data through its delivery path. This will reduce congestion, optimize the distance between the consumers and the required data furthermore improve latency and alleviate the viral load on the servers.  In this paper, we propose a new efficient caching strategy for the Named Data Networking architecture NDN named NECS which is the most promising architecture between all the ICN architectures. The proposed strategy reduces the traffic redundancy, eliminates the useless replication of contents and improves the replay time for users due to the strategic position of cache routers. Besides, we evaluate the performance of this proposed strategy and we compare it with three other NDN caching strategies, using the simulator network environment NdnSIM. On the basis of the simulations carried out, we obtained interesting and convincing results.


2018 ◽  
Vol 66 (10) ◽  
pp. 4854-4876 ◽  
Author(s):  
Zhiguo Ding ◽  
Pingzhi Fan ◽  
George K. Karagiannidis ◽  
Robert Schober ◽  
H. Vincent Poor

2019 ◽  
Vol 11 (3) ◽  
pp. 74 ◽  
Author(s):  
Rute C. Sofia ◽  
Paulo M. Mendes

Information-centric networking integrates by design a pull-based model which brings in advantages in terms of control as well as of in-network caching strategies. Currently, ICN main areas of action concern content distribution and IoT, both of which are environments that often require support for periodic and even-triggered data transmission. Such environments can benefit from push-based communication to achieve faster data forwarding. This paper provides an overview on the current push-based mechanisms that can be applied to information-centric paradigms, explaining the trade-off associated with the different approaches. Moreover, the paper provides design guidelines for integrating push communications in information-centric networking, having as example the application of this networking architecture in IoT environments.


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