{"title":"Scaling state vector sync","authors":"Varun Patil, Sichen Song, Guorui Xiao, Lixia Zhang","doi":"10.1145/3517212.3559485","DOIUrl":null,"url":null,"abstract":"State Vector Sync (SVS) is a Distributed Dataset Synchronization (Sync) protocol designed to support distributed applications running over NDN. SVS encodes raw dataset state in its messages to achieve resilient synchronization with low latency. As a result, the SVS message size grows linearly with the number of data producers in the same communication group, raising concerns about its scalability. This poster proposes a solution to improve SVS's scalability through the use of partial state vectors (p-SVS), and presents the results from our preliminary evaluation. Our results show that p-SVS has similar performance to vanilla SVS with improved scalability.","PeriodicalId":165903,"journal":{"name":"Proceedings of the 9th ACM Conference on Information-Centric Networking","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th ACM Conference on Information-Centric Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3517212.3559485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
State Vector Sync (SVS) is a Distributed Dataset Synchronization (Sync) protocol designed to support distributed applications running over NDN. SVS encodes raw dataset state in its messages to achieve resilient synchronization with low latency. As a result, the SVS message size grows linearly with the number of data producers in the same communication group, raising concerns about its scalability. This poster proposes a solution to improve SVS's scalability through the use of partial state vectors (p-SVS), and presents the results from our preliminary evaluation. Our results show that p-SVS has similar performance to vanilla SVS with improved scalability.
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