S. Suakanto, S. Supangkat, Suhardi, R. Saragih, T. Nugroho, I. B. Nugraha
{"title":"Environmental and disaster sensing using cloud computing infrastructure","authors":"S. Suakanto, S. Supangkat, Suhardi, R. Saragih, T. Nugroho, I. B. Nugraha","doi":"10.1109/ICCCSN.2012.6215712","DOIUrl":null,"url":null,"abstract":"The remote monitoring system is growing very rapidly due to the growth of supporting technologies as well. Problem that may occur in remote monitoring such as the number of objects to be monitored and how fast, how much data to be transmitted to the data center to be processed properly. This study proposes using a cloud computing infrastructure as processing center in the remote sensing data. This study focuses on the situation for sensing on the environment condition and disaster early detection. Where those two things, it has become an important issue, especially in big cities big cities that have many residents. This study proposes to build the conceptual and also prototype model in a comprehensive manner from the remote terminal unit until development method for data retrieval. We also propose using FTR-HTTP method to guarantee the delivery from remote client to server.","PeriodicalId":102811,"journal":{"name":"2012 International Conference on Cloud Computing and Social Networking (ICCCSN)","volume":"273 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Cloud Computing and Social Networking (ICCCSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCSN.2012.6215712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
The remote monitoring system is growing very rapidly due to the growth of supporting technologies as well. Problem that may occur in remote monitoring such as the number of objects to be monitored and how fast, how much data to be transmitted to the data center to be processed properly. This study proposes using a cloud computing infrastructure as processing center in the remote sensing data. This study focuses on the situation for sensing on the environment condition and disaster early detection. Where those two things, it has become an important issue, especially in big cities big cities that have many residents. This study proposes to build the conceptual and also prototype model in a comprehensive manner from the remote terminal unit until development method for data retrieval. We also propose using FTR-HTTP method to guarantee the delivery from remote client to server.