{"title":"Tactics of handling data in Internet of things","authors":"Wenchong Shi, Maohua Liu","doi":"10.1109/CCIS.2011.6045121","DOIUrl":null,"url":null,"abstract":"The paper is intended to ascertain the emphases and difficulties of data processing in Internet of things (IoT) so as to identify the technical strategy. It first analyzed the characteristics of data in IoT, and then analyzed the various properties' requirements in data processing. The authors thought, the data in IoT are polymorphous, heterogeneous, large in quantity and time-limited, there are also some difficulties in data transmitting, they proposed database and middleware technology is the key to solve the polymorphism and heterogeneity, cloud computing or sea computing is the key to resolve data's largeness, the development of high quality devices for data source is the key to data's transmitting. The paper's innovation is that the author has considered the common challenges of data's transmitting in IoT and the application of sea computing.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS.2011.6045121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
The paper is intended to ascertain the emphases and difficulties of data processing in Internet of things (IoT) so as to identify the technical strategy. It first analyzed the characteristics of data in IoT, and then analyzed the various properties' requirements in data processing. The authors thought, the data in IoT are polymorphous, heterogeneous, large in quantity and time-limited, there are also some difficulties in data transmitting, they proposed database and middleware technology is the key to solve the polymorphism and heterogeneity, cloud computing or sea computing is the key to resolve data's largeness, the development of high quality devices for data source is the key to data's transmitting. The paper's innovation is that the author has considered the common challenges of data's transmitting in IoT and the application of sea computing.
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