Quality of Service provisioning in Named Data Networking via PIT entry reservation and PIT replacement policy

Buragohain, Madhurima; Nandi, Sukumar

doi:10.1016/j.comcom.2020.03.021

Cited by 4 publications

(4 citation statements)

References 1 publication

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“…This model defines an objective function to minimize the PIT size subject to the interest drop probability as upper bound. In [11], an analytical model of two PIT replacement approaches is proposed. These approaches are called PIT replacement without reservation (PRWR) and PIT replacement with reservation (PRWR).…”

Section: Related Workmentioning

confidence: 99%

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2DNCF-PIT: Two-Dimensional Neighbor-Based Cuckoo Filter for Pending Interest Table Lookup in Named Data Networking

Mahmoudi

Ahmadi

2022

J Netw Syst Manage

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Named data networking is one of the recommended architectures for the future of the Internet. In this communication architecture, the content name is used instead of the IP address. To achieve this purpose, a new data structure is added to the nodes of named data networking which is called Pending Interest Table (PIT). Scalability, memory consumption, and integration are the significant challenges in PIT design as it needs to be updated for each packet, and it saves the name of the packet. This paper introduces a new data structure for PIT called DiCuPIT. DiCuPIT is a distributed data structure for the PIT table, that works based on the Cuckoo filter and can cover the three features as above-mentioned. By implementing this PIT, the lookup time shows a 36% reduction compared to the methods based on the Bloom filter and 40% based on hash tables. Moreover, the memory consumption is reduced by 68% compared to the hash tables-based mechanisms and 31% compared to the methods based on the Bloom filter.

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Section: Related Workmentioning

confidence: 99%

“…colorred the Bloom filter (BF) [11] is the most popular probabilistic data structure, used for membership query in a set. The Bloom filter consists of an m bits bit-array, initially all set to zero and k hash functions {h 1 , h 2 , ..., h k }, each one in range {0..., m − 1}.…”

Section: Bloom Filtermentioning

confidence: 99%

2DNCF-PIT: Two-Dimensional Neighbor-Based Cuckoo Filter for Pending Interest Table Lookup in Named Data Networking

Mahmoudi

Ahmadi

2022

J Netw Syst Manage

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“…Despite being specifically built to prioritize mobility, the NDN framework encounters many obstacles that necessitate resolution to offer comprehensive support for mobile devices and users within its network. Some of the issues that arise in this context pertain to the effective management of smooth handoffs [13], modifying routing and forwarding decisions to accommodate dynamic changes in device locations [14], addressing security measures (such as the management of cryptographic keys and the revocation of digital certificates [15]), adapting to constrained resources (such as low processing power and battery capacity [16]), and addressing limited interoperability between different NDN implementations [17]. Notwithstanding these issues, NDN continues to hold promise as a viable option for content-centric networking and mobility.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Models for Named Data Networking Producer Mobility Techniques: A Review

Azamuddin,

Mohd Aman,

Sallehuddin

et al. 2024

Mathematics

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One promising paradigm for content-centric communication is Named Data Networking (NDN), which revolutionizes data delivery and retrieval. A crucial component of NDN, producer mobility, presents new difficulties and opportunities for network optimization. This article reviews simulation strategies designed to improve NDN producer mobility. Producer mobility strategies have developed due to NDN data access needs, and these methods optimize data retrieval in dynamic networks. However, assessing their performance in different situations is difficult. Moreover, simulation approaches offer a cost-effective and controlled setting for experimentation, making them useful for testing these technologies. This review analyzes cutting-edge simulation methodologies for NDN producer mobility evaluation. These methodologies fall into three categories: simulation frameworks, mobility models, and performance metrics. Popular simulation platforms, including ns-3, OMNeT++, and ndnSIM, and mobility models that simulate producer movement are discussed. We also examine producer mobility performance indicators, such as handover data latency, signaling cost, and total packet loss. In conclusion, this comprehensive evaluation will help researchers, network engineers, and practitioners understand NDN producer mobility modeling approaches. By knowing these methodologies’ strengths and weaknesses, network stakeholders may make informed NDN solution development and deployment decisions, improving content-centric communication in dynamic network environments.

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“…The rapid development of computer technology is accompanied by network development, in this case the internet network [1]. Along with the increasing number of internet users, traffic on the network is increasingly complex and network management is required [2].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Quality of Service on Internet Networks Using the Burst Method

Fariz

Arifudin

2021

SJI

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The purpose of this research is to make comparisons on the internet network using the application of the Burst method and processed with Quality of Service analysis in which there are parameters of throughput, delay, and jitter. This analysis was carried out because there was a problem with a slow internet network. This happens because there is no configured bandwidth management on the Microtic router and also the unequal distribution of bandwidth when more and more bandwidth users. Burst is one of the bandwidth management methods available on the Microtic router. This study focuses on the implementation of Burst which is applied to one client2 and will be compared with client1 without the application of Burst. Quality of Service analysis is performed to test the parameters of throughput, delay, and jitter on each of the internet networks. After this test is complete, it shows that the results of using the Burst method as a bandwidth regulator, internet network access can be controlled and each client gets the bandwidth evenly as needed. The work result using Burst is more optimal than performance without using Burst. By using Burst the number of packets lost and failed transactions is reduced by more than 70%.

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Quality of Service provisioning in Named Data Networking via PIT entry reservation and PIT replacement policy

Cited by 4 publications

References 1 publication

2DNCF-PIT: Two-Dimensional Neighbor-Based Cuckoo Filter for Pending Interest Table Lookup in Named Data Networking

2DNCF-PIT: Two-Dimensional Neighbor-Based Cuckoo Filter for Pending Interest Table Lookup in Named Data Networking

Mathematical Models for Named Data Networking Producer Mobility Techniques: A Review

Analysis of Quality of Service on Internet Networks Using the Burst Method

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