Abstract
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.
Highlights
Over the last decade, the number of devices connected to the Internet has been rapidly increasing due to the proliferation of emerging technologies such as Internet of ings, artificial intelligence, and blockchain [1]
We propose the ProNDN, a novel stateful forwarding and in-network caching strategy for Named data networking (NDN) networks. e ProNDN consists of multicriteria decisionmaking (MCDM) based Interest forwarding and cooperative data caching. e multicriteria decision-making (MCDM)-based Interest forwarding exploits the MCDM theory to select the outgoing interface to retrieve the desired data, and the forwarding strategy is adaptive and responsive to diverse network conditions
Since the Data packets are replied along the reverse path of Interest packets, the number of links Data packets traversed to satisfy issued Interest packets decrease and a decreasing hop count is observed. e ProNDN obtains the lowest hop count because it evaluates the performance of round-trip time (RTT) to select the outgoing interface, and a shorter path with a lower RTT can be identified to forward Interest packets. us, the lowest hop count can be achieved by ProNDN compared to ConNDN and liteNDN
Summary
The number of devices connected to the Internet has been rapidly increasing due to the proliferation of emerging technologies such as Internet of ings, artificial intelligence, and blockchain [1]. Designing and evaluating stateful forwarding and innetwork caching have been a major challenge within the overall NDN research area [5]. The challenge of improving stateful forwarding as well as in-network caching has attracted the attention of NDN research community. We propose the ProNDN, a novel stateful forwarding and in-network caching strategy for NDN networks. E cooperative data caching approach is seamlessly integrated with the default innetwork caching strategy, and it can be regarded as additional cache policy in NDN forwarding daemon. E simulation results show that the ProNDN can improve Interest satisfaction ratio and Interest satisfaction latency as well as reduce hop count and Content Store utilization ratio, indicating a viable stateful forwarding and in-network caching strategy in NDN networks.
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