QoS in Forwarding Strategies for ICN: New Algorithm and Experimental Evaluation

Araujo, Ivanes Lian Costa; Silva, Andrey; Klautau, Aldebaro; Linder, Neiva

doi:10.14209/jcis.2019.28

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…In a network, such as the Internet, where billions of contents are already hosted, and new materials are joining exponentially, determining the interval is nontrivial. Another subclass, such as previous works, 25,56,[69][70][71][72][73] probes the outgoing interfaces periodically or occasionally to compute parameters like link quality, reliability, bandwidth (BW), round trip time (RTT), and pending interests to choose the best outgoing interface for an Interest. Moreover, both routing strategies demand additional storage to record the path metrics and consume CPU time to update paths.…”

Section: Ndn Forwarding Strategiesmentioning

confidence: 99%

A source‐driven probabilistic forwarding and caching strategy in NDN and SDN‐based NDN

Iqbal

Asaduzzaman

Hoque

2022

Int J Communication

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Summary NDN forwarding strategies are mainly developed receiver‐driven, where Interest forwarding and Data (content) delivery are controlled from the consumers' viewpoint. The receiver‐driven strategies are greedy by nature and emphasize optimizing the Interest forwarding, which is far from the performance bottleneck as an Interest is of tiny size in compared with a content's size. Thus, optimizing the content delivery can improve the forwarding performance. Moreover, source‐driven optimization of content delivery can alleviate the greedy nature of its counterpart. In this work, a source‐driven forwarding strategy is proposed where the content sources respond to Interest requests in a distributed manner. The content requests hit all the sources, but the sources respond probabilistically such that the content retrieval overhead and latency are minimized. The strategy consents the nearer sources to set a high probability of reacting with the matching content. On the contrary, the distant sources answer with an Offer to save transmission overhead. Besides, a caching strategy is proposed, an integral part of the source‐driven scheme, that caches diverse contents considering the gap between successive copies and content availability while admitting new contents. Next, we extend the source‐driven probabilistic forwarding strategy to operate in SDN‐based NDN architecture. The SDN‐based solution controls the content delivery phase using the global knowledge of NDN cache states. Simulation study conducted using ndnSIM reveals that the proposed forwarding and caching strategy improves user satisfaction and network performance in terms of different performance metrics such as transmission overhead, latency, and cache hit.

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Section: Ndn Forwarding Strategiesmentioning

confidence: 99%

A source‐driven probabilistic forwarding and caching strategy in NDN and SDN‐based NDN

Iqbal

Asaduzzaman

Hoque

2022

Int J Communication

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“…However, inefficient utilization of such information results in suboptimal decisions in forwarding plane [146]. Furthermore, improving the quality of one of the services may lead to degradation of QoS for other coexisting services [147]. As mentioned by Posch et al [146], context information is currently being used for meeting out basic functionalities instead of using it for enhancing network parameters like QoS and QoE.…”

Section: B Context Awarenessmentioning

confidence: 99%

Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research

Gûr

Kalla

Alwis

et al. 2022

IEEE Open J. Commun. Soc.

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Multi-access Edge Computing (MEC) is a novel edge computing paradigm that moves cloud-based processing and storage capabilities closer to the mobile users by implementing server resources in the access nodes. MEC helps fulfill the stringent requirements of 5G and beyond networks to offer anytime-anywhere connectivity for many devices with ultra-low delay and huge bandwidths. Information-Centric Networking (ICN) is another prominent network technology that builds on a content-centric network architecture to overcome host-centric routing/operation shortcomings and to realize efficient pervasive and ubiquitous networking. It is envisaged to be employed in Future Internet including Beyond 5G (B5G) networks. The consolidation of ICN with MEC technology offers new opportunities to realize that vision and serve advanced use cases. However, various integration challenges are yet to be addressed to enable the wide-scale co-deployment of ICN with MEC in future networks. In this paper, we discuss and elaborate on ICN MEC integration to provide a comprehensive survey with a forwardlooking perspective for Beyond 5G networks. In that regard, we deduce lessons learned from related works (for both 5G and Beyond 5G networks). We present ongoing standardization activities to highlight practical implications of such efforts. Moreover, we render key B5G use cases and highlight the role for ICN MEC integration for addressing their requirements. Finally, we layout research challenges and identify potential research

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“…Since the visual field and step in AFS will affect the search ability of the multiobjective PSO-AFS algorithm, the L method with PSO optimization mode in reference [14] is used to unify the visual field and step. The global search ability and convergence speed of the multi-objective PSO-AFS algorithm are improved.…”

Section: Improved Multi-objective Pso-afs Algorithmmentioning

confidence: 99%

An Adaptive and Environmentally Friendly Simulation Optimization Method for Optical Storage Microgrid

Ji¹,

Wu²,

Wu³

et al. 2022

Advances in Transdisciplinary Engineering

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In recent years, with the global warming, distributed photovoltaic and energy storage have developed rapidly under the background of carbon peak and carbon neutralization. Photovoltaic can be added to the microgrid as a distributed energy, but the volatility and randomness of photovoltaic itself will reduce the stability of the entire electric system, and even affect the operation of the microgrid. The introduction of energy storage media brings a new chapter to improve the stability of power system, improving the income of microgrid, and reducing the volatility caused by photovoltaic power generation. With the gradual implementation of the real-time electricity price policy, the use of energy storage system to obtain economic benefits will be an economic direction of the future micro grid. Therefore, based on the analysis of the operation principle of photovoltaic and energy storage, this paper uses MATLAB to establish the simulation control model of photovoltaic and storage DC bus grid-connected, and verifies the rationality of photovoltaic and storage grid-connected. Secondly, the multi-objective mathematical modeling was carried out by minimizing the total cost, pollutant emission and energy storage utilization of microgrid. Finally, an improved multi-objective PSO algorithm is proposed, which combines the fast optimization ability of particle swarm optimization algorithm with the strong global search ability of artificial fish swarm algorithm, optimizes the economic operation of photovoltaic storage microgrid, and improves the solution performance of the algorithm.

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QoS in Forwarding Strategies for ICN: New Algorithm and Experimental Evaluation

Cited by 5 publications

References 23 publications

A source‐driven probabilistic forwarding and caching strategy in NDN and SDN‐based NDN

A source‐driven probabilistic forwarding and caching strategy in NDN and SDN‐based NDN

Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research

An Adaptive and Environmentally Friendly Simulation Optimization Method for Optical Storage Microgrid

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