Jia Zhang, Bob Iannucci, M. Hennessy, Kaushik Gopal, S. Xiao, Sumeet Kumar, David Pfeffer, Basmah Aljedia, Yuan Ren, M. Griss, Steven Rosenberg, J. Cao, Anthony G. Rowe
{"title":"Sensor Data as a Service -- A Federated Platform for Mobile Data-centric Service Development and Sharing","authors":"Jia Zhang, Bob Iannucci, M. Hennessy, Kaushik Gopal, S. Xiao, Sumeet Kumar, David Pfeffer, Basmah Aljedia, Yuan Ren, M. Griss, Steven Rosenberg, J. Cao, Anthony G. Rowe","doi":"10.1109/SCC.2013.34","DOIUrl":null,"url":null,"abstract":"The Internet of Things (IoT) offers the promise of integrating the digital world of the Internet with the physical world in which we live. But realizing this promise necessitates a systematic approach to integrating the sensors, actuators, and information on which they operate into the Internet we know today. This paper reports the design and development of an open community-oriented platform aiming to support federated sensor data as a service, featuring interoperability and reusability of heterogeneous sensor data and data services. The concepts of virtual sensors and virtual devices are identified as central autonomic units to model scalable and context-aware configurable/reconfigurable sensor data and services. The decoupling of the storage and management of sensor data and platform-oriented metadata enables the handling of both discrete and streaming sensor data. A cloud computing-empowered prototyping system has been established as a proof of concept to host smart community-oriented sensor data and services.","PeriodicalId":370898,"journal":{"name":"2013 IEEE International Conference on Services Computing","volume":"35 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"44","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Services Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCC.2013.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 44
Abstract
The Internet of Things (IoT) offers the promise of integrating the digital world of the Internet with the physical world in which we live. But realizing this promise necessitates a systematic approach to integrating the sensors, actuators, and information on which they operate into the Internet we know today. This paper reports the design and development of an open community-oriented platform aiming to support federated sensor data as a service, featuring interoperability and reusability of heterogeneous sensor data and data services. The concepts of virtual sensors and virtual devices are identified as central autonomic units to model scalable and context-aware configurable/reconfigurable sensor data and services. The decoupling of the storage and management of sensor data and platform-oriented metadata enables the handling of both discrete and streaming sensor data. A cloud computing-empowered prototyping system has been established as a proof of concept to host smart community-oriented sensor data and services.