{"title":"Special consideration for Big Data in IoE or Internet of Everything","authors":"S. Charmonman, Pornpisud Mongkhonvanit","doi":"10.1109/ICTKE.2015.7368487","DOIUrl":null,"url":null,"abstract":"The Internet of Thing (IoT) is the network of things connected all over the world. The Internet of Everything (IoE) adds People, Process, and Data to IoT and thus creates exabyte (billion of billions) of data every day. The traditional data management can be used only partially for IoE data from sensors and not for all data from other sources and types. This paper will discuss the IoT market statistics, the insights for IoE, the 2014 World Economic Forum Data Policy Recommendations, Big Data and IoE, Management of IoE data, and Sample Best Practices for IoE.","PeriodicalId":128925,"journal":{"name":"2015 13th International Conference on ICT and Knowledge Engineering (ICT & Knowledge Engineering 2015)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 13th International Conference on ICT and Knowledge Engineering (ICT & Knowledge Engineering 2015)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTKE.2015.7368487","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
The Internet of Thing (IoT) is the network of things connected all over the world. The Internet of Everything (IoE) adds People, Process, and Data to IoT and thus creates exabyte (billion of billions) of data every day. The traditional data management can be used only partially for IoE data from sensors and not for all data from other sources and types. This paper will discuss the IoT market statistics, the insights for IoE, the 2014 World Economic Forum Data Policy Recommendations, Big Data and IoE, Management of IoE data, and Sample Best Practices for IoE.