scholarly journals Pro NDN : MCDM-Based Interest Forwarding and Cooperative Data Caching for Named Data Networking

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Cong Pu
Keyword(s):  
Multicriteria Decision Making ◽  
Future Internet ◽  
Data Access ◽  
Named Data Networking ◽  
Hop Count ◽  
Data Caching ◽  
Caching Strategy ◽  
Multiple Network ◽  
Network Metrics ◽  
Data Networking

Named data networking (NDN), as a specific architecture design of information-centric networking (ICN), has quickly became a promising candidate for future Internet architecture, where communications are driven by data names instead of IP addresses. To realize the NDN communication paradigm in the future Internet, two important features, stateful forwarding and in-network caching, have been proposed to cope with drawbacks of host-based communication protocols. The stateful forwarding is designed to maintain the state of pending Interest packets to guide Data packets back to requesting consumers, while the in-network caching is used to reduce both network traffic and data access delay to improve the overall performance of data access. However, the conventional stateful forwarding approach is not adaptive and responsive to diverse network conditions because it fails to consider multiple network metrics to make Interest forwarding decision. In addition, the default in-network caching strategy relies on storing each received Data packet regardless of various caching constraints and criteria, which causes the routers in the vicinity of data producers to suffer from excessive caching overhead. In this paper, we propose the Pro NDN , a novel stateful forwarding and in-network caching strategy for NDN networks. The Pro NDN consists of multicriteria decision-making (MCDM) based interest forwarding and cooperative data caching. The basic idea of the MCDM-based interest forwarding is to employ Technique for Order Performance by Similarity to Idea Solution (TOPSIS) to dynamically evaluate outgoing interface alternatives based on multiple network metrics and objectively select an optimal outgoing interface to forward the Interest packet. In addition, the cooperative data caching consists of two schemes: CacheData, which caches the data, and CacheFace, which caches the outgoing interface. We conduct extensive simulation experiments for performance evaluation and comparison with prior schemes. The simulation results show that the Pro NDN can improve Interest satisfaction ratio and Interest satisfaction latency as well as reduce hop count and Content Store utilization ratio.

scholarly journals Adaptive Forwarding Strategy Based on MCDM Model in Named Data Networking

2020 ◽  
Author(s):  
Cong Pu
Keyword(s):  
Future Internet ◽  
Ideal Solution ◽  
Named Data Networking ◽  
Hop Count ◽  
Future Internet Architecture ◽  
Forwarding Strategy ◽  
Negative Ideal Solution ◽  
Multiple Network ◽  
Network Metrics ◽  
Data Networking

<div>Named Data Networking (NDN), as a specific architecture</div><div>design of Information-Centric Networking (ICN), has quickly became a promising candidate for future Internet architecture, where communications are driven by data names instead of IP addresses. To realize the NDN architecture in the future Internet, a stateful forwarding plane has been proposed to maintain the pending Interest packets and guide Data packets back to the consumers. However, the operations of stateful forwarding plane are not fully explained in NDN project and the design specifics remain to be filled in. In addition, the overall framework of stateful forwarding plane should be adaptive and responsive to diverse network conditions by taking into account of multiple network metrics. In this paper, we propose a novel adaptive forwarding strategy, also referred to as fwdPRO, to realize intelligent and adaptive Interest packet forwarding in NDN. The basic idea of the fwdPRO is to employ Technique for Order Performance by Similarity to Idea Solution (TOPSIS)</div><div>to dynamically evaluate outgoing interface alternatives based on multiple network metrics and objectively select an optimal outgoing interface to forward the Interest packet. The TOPSIS is a multi-criteria decision-making (MCDM) model to identify the best alternative that is nearest to the positive ideal solution and farthest from the negative ideal solution. We conduct extensive simulation experiments for performance evaluation and comparison with the existing BestRoute and EPF schemes. The simulation results show that the proposed adaptive forwarding strategy can improve the Interest satisfaction ratio and Interest satisfaction latency as well as reduce the average hop count.</div>

scholarly journals Adaptive Forwarding Strategy Based on MCDM Model in Named Data Networking

2020 ◽  
Author(s):  
Cong Pu
Keyword(s):  
Future Internet ◽  
Ideal Solution ◽  
Named Data Networking ◽  
Hop Count ◽  
Future Internet Architecture ◽  
Forwarding Strategy ◽  
Negative Ideal Solution ◽  
Multiple Network ◽  
Network Metrics ◽  
Data Networking

<div>Named Data Networking (NDN), as a specific architecture</div><div>design of Information-Centric Networking (ICN), has quickly became a promising candidate for future Internet architecture, where communications are driven by data names instead of IP addresses. To realize the NDN architecture in the future Internet, a stateful forwarding plane has been proposed to maintain the pending Interest packets and guide Data packets back to the consumers. However, the operations of stateful forwarding plane are not fully explained in NDN project and the design specifics remain to be filled in. In addition, the overall framework of stateful forwarding plane should be adaptive and responsive to diverse network conditions by taking into account of multiple network metrics. In this paper, we propose a novel adaptive forwarding strategy, also referred to as fwdPRO, to realize intelligent and adaptive Interest packet forwarding in NDN. The basic idea of the fwdPRO is to employ Technique for Order Performance by Similarity to Idea Solution (TOPSIS)</div><div>to dynamically evaluate outgoing interface alternatives based on multiple network metrics and objectively select an optimal outgoing interface to forward the Interest packet. The TOPSIS is a multi-criteria decision-making (MCDM) model to identify the best alternative that is nearest to the positive ideal solution and farthest from the negative ideal solution. We conduct extensive simulation experiments for performance evaluation and comparison with the existing BestRoute and EPF schemes. The simulation results show that the proposed adaptive forwarding strategy can improve the Interest satisfaction ratio and Interest satisfaction latency as well as reduce the average hop count.</div>

scholarly journals An Effective Fairness Scheme for Named Data Networking

Electronics ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 749
Author(s):  
Hammad Zafar ◽  
Ziaul Haq Abbas ◽  
Ghulam Abbas ◽  
Fazal Muhammad ◽  
Muhammad Tufail ◽  
...  
Keyword(s):  
Interest Rates ◽  
Future Internet ◽  
High Volume ◽  
Named Data Networking ◽  
Network Resources ◽  
Network Nodes ◽  
Network Routers ◽  
Rate Shaping ◽  
Network Topologies ◽  
Data Networking

Named data networking (NDN) is a revolutionary approach to cater for modern and future Internet usage trends. The advancements in web services, social networks and cloud computing have shifted Internet utilization towards information delivery. Information-centric networking (ICN) enables content-awareness in the network layer and adopts name-based routing through the NDN architecture. Data delivery in NDN is receiver-driven pull-based and governed by requests (interests) sent out by the receiver. The ever-increasing share of high-volume media streams traversing the Internet due to the popularity and availability of video-streaming services can put a strain on network resources and lead to congestion. Since most congestion control techniques proposed for NDN are receiver-based and rely on the users to adjust their interest rates, a fairness scheme needs to be implemented at the intermediate network nodes to ensure that “rogue” users do not monopolize the available network resources. This paper proposes a fairness-based active queue management at network routers which performs per-flow interest rate shaping in order to ensure fair allocation of resources. Different congestion scenarios for both single path and multipath network topologies have been simulated to test the effectiveness of the proposed fairness scheme. Performance of the scheme is evaluated using Jain’s fairness index as a fairness metric.

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

scholarly journals A New Bloom Filter Architecture for FIB Lookup in Named Data Networking

2019 ◽  
Vol 9 (2) ◽  
pp. 329 ◽  
Author(s):  
Hayoung Byun ◽  
Hyesook Lim
Keyword(s):  
Network Traffic ◽  
High Speed ◽  
Bloom Filter ◽  
Future Internet ◽  
Bloom Filters ◽  
Named Data Networking ◽  
Future Internet Architecture ◽  
Massive Growth ◽  
Filter Architecture ◽  
Data Networking

Network traffic has increased rapidly in recent years, mainly associated with the massive growth of various applications on mobile devices. Named data networking (NDN) technology has been proposed as a future Internet architecture for effectively handling this ever-increasing network traffic. In order to realize the NDN, high-speed lookup algorithms for a forwarding information base (FIB) are crucial. This paper proposes a level-priority trie (LPT) and a 2-phase Bloom filter architecture implementing the LPT. The proposed Bloom filters are sufficiently small to be implemented with on-chip memories (less than 3 MB) for FIB tables with up to 100,000 name prefixes. Hence, the proposed structure enables high-speed FIB lookup. The performance evaluation result shows that FIB lookups for more than 99.99% of inputs are achieved without needing to access the database stored in an off-chip memory.

scholarly journals Economic Levers for Mitigating Interest Flooding Attack in Named Data Networking

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Licheng Wang ◽  
Yun Pan ◽  
Mianxiong Dong ◽  
Yafang Yu ◽  
Kun Wang
Keyword(s):  
Dynamic Pricing ◽  
Denial Of Service ◽  
Future Internet ◽  
Extensive Study ◽  
Distributed Denial Of Service ◽  
Named Data Networking ◽  
Flooding Attack ◽  
Malicious Behavior ◽  
Future Internet Architectures ◽  
Data Networking

As a kind of unwelcome, unavoidable, and malicious behavior, distributed denial of service (DDoS) is an ongoing issue in today’s Internet as well as in some newly conceived future Internet architectures. Recently, a first step was made towards assessing DDoS attacks in Named Data Networking (NDN)—one of the promising Internet architectures in the upcoming big data era. Among them, interest flooding attack (IFA) becomes one of the main serious problems. Enlightened by the extensive study on the possibility of mitigating DDoS in today’s Internet by employing micropayments, in this paper we address the possibility of introducing economic levers, say, dynamic pricing mechanism, and so forth, for regulating IFA in NDN.

Named Data Networking

2018 ◽  
Vol 14 (2) ◽  
pp. 86-112 ◽  
Author(s):  
Maroua Meddeb ◽  
Amine Dhraief ◽  
Abdelfettah Belghith ◽  
Thierry Monteil ◽  
Khalil Drira ◽  
...  
Keyword(s):  
Research And Development ◽  
Comparative Study ◽  
Content Validity ◽  
Future Internet ◽  
Named Data Networking ◽  
Information Centric Networking ◽  
The Future ◽  
Suitable Combination ◽  
Data Networking

This article describes how the named data networking (NDN) has recently received a lot of attention as a potential information-centric networking (ICN) architecture for the future Internet. The NDN paradigm has a great potential to efficiently address and solve the current seminal IP-based IoT architecture issues and requirements. NDN can be used with different sets of caching algorithms and caching replacement policies. The authors investigate the most suitable combination of these two features to be implemented in an IoT environment. For this purpose, the authors first reviewed the current research and development progress in ICN, then they conduct a qualitative comparative study of the relevant ICN proposals and discuss the suitability of the NDN as a promising architecture for IoT. Finally, they evaluate the performance of NDN in an IoT environment with different caching algorithms and replacement policies. The obtained results show that the consumer-cache caching algorithm used with the Random Replacement (RR) policy significantly improve NDN content validity in an IoT environment.

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