Victor J. Lawson, Vinay Kumar, Lakshmish Ramaswamy
{"title":"Mobile Cloud Enabled Sensor Services: Opportunities, Challenges and Approaches","authors":"Victor J. Lawson, Vinay Kumar, Lakshmish Ramaswamy","doi":"10.1109/MobServ.2015.77","DOIUrl":null,"url":null,"abstract":"Cloud-enabled sensor services have had a profound impact on many facets of mobile computing in the Internet of Things \"IoT\". Not the least of which includes the control of the mobile sensor data stream by existing cloud services architecture. The challenges associated with these mobile sensors are virtually infinite as more devices are added to the IoT every second. In order to maintain a high degree of volume control and performance throughput as well as data quality, powerful cloud architectures must be designed, deployed and maintained. In addition to handling the high volume from existing sensor devices, additional tracking and control problems result from \"humans as a sensor\". These challenges will provide many opportunities for cloud based sensors services. Our research seeks to predict and explore the various opportunities, challenges and approaches in mobile sensor clouds and devices over the next few years.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Mobile Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MobServ.2015.77","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
Cloud-enabled sensor services have had a profound impact on many facets of mobile computing in the Internet of Things "IoT". Not the least of which includes the control of the mobile sensor data stream by existing cloud services architecture. The challenges associated with these mobile sensors are virtually infinite as more devices are added to the IoT every second. In order to maintain a high degree of volume control and performance throughput as well as data quality, powerful cloud architectures must be designed, deployed and maintained. In addition to handling the high volume from existing sensor devices, additional tracking and control problems result from "humans as a sensor". These challenges will provide many opportunities for cloud based sensors services. Our research seeks to predict and explore the various opportunities, challenges and approaches in mobile sensor clouds and devices over the next few years.