MRPGA: A Genetic-Algorithm-based In-network Caching for Information-Centric Networking

Yang, Fan; Tian, Zerui

doi:10.1109/icnp52444.2021.9651960

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…Ref. [45] uses a mutation probability to control for the dichotomy between crossover and mutation operations. Therefore, it is a feasible solution to set the crossover and mutation operations to be alternative for each individual.…”

Section: Algorithm 5 Pseudocode For Mumentioning

confidence: 99%

Cache Optimization Methods Involving Node and Content Sharding of Blockchain in Internet of Vehicles

Zhao,

Ding

2024

Electronics

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Blockchain stands out in addressing the data security requirements of the Internet of Vehicles. However, blockchain has storage pressure that cannot be met by most existing nodes. The emergence of Mobile Edge Computing allows nodes closer to the users to undertake the caching and computation process. Although sharding can alleviate the storage pressure on blockchain nodes, frequent cross-shard communication can affect the overall performance of the blockchain. In this paper, combining the features of traffic flow with strong regional similarity as well as inter-node correlation, we propose two sharding methods based on the current Vehicle–Infrastructure–Clouds three-tier service model. The proposed Content Sharding method can optimize node caching and improve the cache-hitting ratio. The proposed node sharding method can effectively reduce the system service delay by assisting nodes to cache the whole blockchain together across the network.

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Section: Algorithm 5 Pseudocode For Mumentioning

confidence: 99%

Cache Optimization Methods Involving Node and Content Sharding of Blockchain in Internet of Vehicles

Zhao,

Ding

2024

Electronics

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“…Yang et al [97] proposed a caching strategy based on GA in ICN networks, called Multiple-Round Parallel Genetic Algorithm (MRPGA). They claimed that MRPGA guarantees a feasible solution by decomposing the problem and having multiple round iterations.…”

Section: Cachingmentioning

confidence: 99%

“…This can be seen in the Particle Swarm Optimization Algorithm (PSO) [138], BrainStorm Optimization Algorithm [139], and the Genetic Algorithm (GA) [140]. SDN controller in [85,97] utilizes GA to choose the optimal route ly and to enhance caching, respectively.…”

Section: Artificial Intelligence Federated Learning and Metaheuristic...mentioning

confidence: 99%

Leveraging ICN and SDN for Future Internet Architecture: A Survey

et al. 2023

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Information-Centric Networking (ICN) and Software-Defined Networking (SDN) are both new evolving network architectures that are receiving a lot of attention from researchers. ICN is a Future Internet architecture which tries to transform the current Internet architecture from location- and host-centric to content-centric, where obtaining requested data is achieved by the contents’ names regardless of the location of the data. From another angle, SDN is considered a new Internet architecture that moves the control plane management from network devices to a centralized controller. The SDN controller enhances network robustness and improves its scalability, reliability, and flexibility. The integration of ICN and SDN results in massive benefits, where SDN enhances ICN networks’ manageability, controllability, and functionality, and ICN reshapes the SDN design to make it compatible with ICN features and to enhance ICN in terms of network caching, routing, mobility, and security.. In this review paper, a comprehensive survey of the issues and challenges of integrating ICN and SDN is presented. Firstly, ICN’s main characteristics are summarized, and a short comparison between different ICN architectures is completed. Then, the key details of SDN are highlighted. Moreover, the motivation and benefits of merging ICN with SDN are summarized and the state-of-the-art work on merging ICN and SDN is reviewed and classified from several aspects. Finally, several open research issues are highlighted.

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MRPGA: A Genetic-Algorithm-based In-network Caching for Information-Centric Networking

Cited by 2 publications

References 13 publications

Cache Optimization Methods Involving Node and Content Sharding of Blockchain in Internet of Vehicles

Cache Optimization Methods Involving Node and Content Sharding of Blockchain in Internet of Vehicles

Leveraging ICN and SDN for Future Internet Architecture: A Survey

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