The Role of Management Techniques for High-Performance Pending Interest Table: A Survey

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dc.authoridHassan, Suhaidi/0000-0002-5094-4929
dc.authoridAlubady, Raaid/0000-0001-9748-2541
dc.authoridHabbal, Adib/0000-0002-3939-2609
dc.contributor.authorAlubady, Raaid
dc.contributor.authorHassan, Suhaidi
dc.contributor.authorHabbal, Adib
dc.date.accessioned2024-09-29T15:50:51Z
dc.date.available2024-09-29T15:50:51Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description4th International Conference of Reliable Information and Communication Technology (IRICT) -- SEP 22-23, 2019 -- Johor, MALAYSIAen_US
dc.description.abstractMost of the services used by Internet consumers such as social network platforms, video-on-demand, on-line gaming, web Media, and IP Television which are content-centric in nature; meaning they focus on named content objects instead of being focused on the host-location. In this context, many projects around named data propose redesigning and developing the communication of Internet-based on named data. NDN (Named Data Networking) is an ideal solution to achieve efficient data sharing and retrieval since NDN focuses on the contents themselves regardless of their sources. The focus of this survey is a unique characteristic presented by NDN; PIT (Pending Interest table). PIT is part of three fundamental data structures newly introduced in the NDN router to enable full functionality of NDN. NDN router depends on reverse paths in PIT to return back Data packets to consumers. Accordingly, the PIT may present stringent restrictions in terms of scalability, for-warding, and management. The challenging task is the design of a scalable and manageable PIT because it requires per-packet updating and controlling the impact of increasing Interest packets with the highest Interest lifetime of PIT. Therefore, this survey describes into greater detail the background and several important previous researches related to issues of PIT which is PIT management based on PIT placement, and replacement, PIT implementation as a data structure, and Adaptive Interest Life-time. Thus, would assist in defining the general framework of this survey.en_US
dc.description.sponsorshipUniv Teknologi Malaysia, Informat Engn Behav Informat Res Grp, Yemeni Scientists Res Grp,Taibah Univ, Coll Comp Sci & Engn, Data Sci Res Grp,Sch Sci & Technol,Charles Darwin Univ, Coll Engn, IT & Environm,Assoc Informat Syst Malaysia Chapteren_US
dc.identifier.doi10.1007/978-3-030-33582-3_53
dc.identifier.endpage582en_US
dc.identifier.isbn978-3-030-33582-3
dc.identifier.isbn978-3-030-33581-6
dc.identifier.issn2194-5357
dc.identifier.issn2194-5365
dc.identifier.scopus2-s2.0-85077779283en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage569en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-33582-3_53
dc.identifier.urihttps://hdl.handle.net/20.500.14619/3760
dc.identifier.volume1073en_US
dc.identifier.wosWOS:000583758100053en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofEmerging Trends in Intelligent Computing and Informatics: Data Science, Intelligent Information Systems and Smart Computingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNamed Data Networkingen_US
dc.subjectPending Interest Tableen_US
dc.subjectInterest lifetimeen_US
dc.subjectData structureen_US
dc.subjectAnd replacement policyen_US
dc.titleThe Role of Management Techniques for High-Performance Pending Interest Table: A Surveyen_US
dc.typeConference Objecten_US

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