{"title":"边缘计算中基于网络聚合的多属性查询处理","authors":"Xiaocui Li, Zhangbing Zhou","doi":"10.1109/SKG.2018.00027","DOIUrl":null,"url":null,"abstract":"This paper proposes a multi-attribute aggregation query mechanism in the context of edge computing, where an energy-aware IR-tree is constructed to process query processing in single edge networks, while an edge node routing graph is es-tablished to facilitate query processing for marginal smart things contained in contiguous edge networks. This in-network and localized strategy has shown its e □ ciency and applicability of query processing in IoT sensing networks, and experimental evaluation demonstrates that this technique performs better than the rivals in reducing the network tra □ c and energy consumption.","PeriodicalId":265760,"journal":{"name":"2018 14th International Conference on Semantics, Knowledge and Grids (SKG)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-Attribute Query Processing Through In-Network Aggregation in Edge Computing\",\"authors\":\"Xiaocui Li, Zhangbing Zhou\",\"doi\":\"10.1109/SKG.2018.00027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a multi-attribute aggregation query mechanism in the context of edge computing, where an energy-aware IR-tree is constructed to process query processing in single edge networks, while an edge node routing graph is es-tablished to facilitate query processing for marginal smart things contained in contiguous edge networks. This in-network and localized strategy has shown its e □ ciency and applicability of query processing in IoT sensing networks, and experimental evaluation demonstrates that this technique performs better than the rivals in reducing the network tra □ c and energy consumption.\",\"PeriodicalId\":265760,\"journal\":{\"name\":\"2018 14th International Conference on Semantics, Knowledge and Grids (SKG)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 14th International Conference on Semantics, Knowledge and Grids (SKG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SKG.2018.00027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 14th International Conference on Semantics, Knowledge and Grids (SKG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SKG.2018.00027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Attribute Query Processing Through In-Network Aggregation in Edge Computing
This paper proposes a multi-attribute aggregation query mechanism in the context of edge computing, where an energy-aware IR-tree is constructed to process query processing in single edge networks, while an edge node routing graph is es-tablished to facilitate query processing for marginal smart things contained in contiguous edge networks. This in-network and localized strategy has shown its e □ ciency and applicability of query processing in IoT sensing networks, and experimental evaluation demonstrates that this technique performs better than the rivals in reducing the network tra □ c and energy consumption.