{"title":"Heartbeat: Effective Access to Off-Path Cached Content in NDN","authors":"Junseok Lee;Dohyung Kim","doi":"10.1109/TNSE.2025.3555743","DOIUrl":null,"url":null,"abstract":"In Information-centric networking(ICN), content is distributed across network caches and accessed using content names instead of location identifiers. This characteristic effectively reduces network costs and latency, but the benefits vary greatly depending on how effectively user requests reach the target content in the cache. Existing literature suggests two approaches for accessing cached content: utilizing replicated requests and exchanging cache catalogs periodically. However, replicated requests can result in redundant data transfer, leading to bandwidth waste. The volatile nature of cached content can render the exchanged cache catalogs outdated, leading to access failure. Moreover, the cache catalog itself can consume a significant amount of bandwidth. To address these issues and implement efficient content access in ICN, we design a novel scheme called <italic>Heartbeat</i>. <italic>Heartbeat</i> disseminates information solely about newly inserted or relocated content with the lifetime carefully calculated, which enables sufficient utilization of cached content while preventing access failures caused by outdated information. We further minimize the overhead of <italic>Heartbeat</i> significantly using several enhancement strategies. Simulation studies conducted on ndnSIM demonstrate that employing <italic>Heartbeat</i> enables 45% more requests to be serviced from network caches, while reducing service latency and bandwidth consumption by up to 11% and 47% respectively, compared to comparative schemes.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"12 4","pages":"2974-2988"},"PeriodicalIF":6.7000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Network Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10944575/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In Information-centric networking(ICN), content is distributed across network caches and accessed using content names instead of location identifiers. This characteristic effectively reduces network costs and latency, but the benefits vary greatly depending on how effectively user requests reach the target content in the cache. Existing literature suggests two approaches for accessing cached content: utilizing replicated requests and exchanging cache catalogs periodically. However, replicated requests can result in redundant data transfer, leading to bandwidth waste. The volatile nature of cached content can render the exchanged cache catalogs outdated, leading to access failure. Moreover, the cache catalog itself can consume a significant amount of bandwidth. To address these issues and implement efficient content access in ICN, we design a novel scheme called Heartbeat. Heartbeat disseminates information solely about newly inserted or relocated content with the lifetime carefully calculated, which enables sufficient utilization of cached content while preventing access failures caused by outdated information. We further minimize the overhead of Heartbeat significantly using several enhancement strategies. Simulation studies conducted on ndnSIM demonstrate that employing Heartbeat enables 45% more requests to be serviced from network caches, while reducing service latency and bandwidth consumption by up to 11% and 47% respectively, compared to comparative schemes.
期刊介绍:
The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.