Open Solutions for the Internet of Things: From Big Data to a Sensor Cloud
Dimitrios Georgakopoulos (Research Director, Information Engineering Laboratory, CSIRO ICT Centre)
CECS SEMINAR SERIESDATE: 2012-11-15
TIME: 16:00:00 - 17:00:00
LOCATION: CSIT Seminar Room, N101
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ABSTRACT:
The Internet of Things (IoT) is a dynamic global information network consisting of internet-connected objects, such RFIDs, sensors, actuators, as well as other instruments and smart appliances that are becoming an integral component of the future internet. Currently, such internet connected objects or athingsa outnumber both people and computers connected to the internet and their population is expected to grow to 50 billion in the next 5 to 10 years. To be able to develop IoT applications, such objects must become dynamically integratable into emerging information networks supported by architecturally scalable and economically feasible internet service delivery models, such cloud computing. Therefore, the proliferation of IoT applications has recently given rise to the notion of an IoT cloud. However, there is still no easy way to formulate and manage IoT cloud environments that dynamically discover and integrate internet connected objects and deal with the big data they produce. Furthermore, corresponding elastic pay-as-you-go services currently do not exists. In this talk we provide an overview of joint research efforts of prominent open source contributors towards enabling a new range of intelligent IoT applications. In particular, we discuss four interrelated research projects that aim to develop an open source software platform that will help springboard IoT application development in academic research institutions and SMEs around the world. This talk focuses primarily on the development of IoT solutions that support dynamic semantic-based discovery and integration of internet connected objects as needed by each application at hand, solutions for distributed stream processing and near real-time exploitation of big IoT data, and corresponding IoT cloud services. We also discuss a recent effort to produce a unified open source middleware framework enabling the dynamic formulation of self-managed cloud environments for IoT applications that will serve as a blueprint for non-trivial IoT applications, which are delivered in an autonomic fashion and according to a cloud computing model. A major case study from the domain of digital agriculture is presented at the end of this talk. This case study illustrates how open source IoT cloud services help achieve higher agricultural productivity by analysing data collected from thousands of sensors and cameras to determine which plant(s) perform better in each farm and by predicting future crop production.
BIO:
The Internet of Things (IoT) is a dynamic global information network consisting of internet-connected objects, such RFIDs, sensors, actuators, as well as other instruments and smart appliances that are becoming an integral component of the future internet. Currently, such internet connected objects or athingsa outnumber both people and computers connected to the internet and their population is expected to grow to 50 billion in the next 5 to 10 years. To be able to develop IoT applications, such objects must become dynamically integratable into emerging information networks supported by architecturally scalable and economically feasible internet service delivery models, such cloud computing. Therefore, the proliferation of IoT applications has recently given rise to the notion of an IoT cloud. However, there is still no easy way to formulate and manage IoT cloud environments that dynamically discover and integrate internet connected objects and deal with the big data they produce. Furthermore, corresponding elastic pay-as-you-go services currently do not exists. In this talk we provide an overview of joint research efforts of prominent open source contributors towards enabling a new range of intelligent IoT applications. In particular, we discuss four interrelated research projects that aim to develop an open source software platform that will help springboard IoT application development in academic research institutions and SMEs around the world. This talk focuses primarily on the development of IoT solutions that support dynamic semantic-based discovery and integration of internet connected objects as needed by each application at hand, solutions for distributed stream processing and near real-time exploitation of big IoT data, and corresponding IoT cloud services. We also discuss a recent effort to produce a unified open source middleware framework enabling the dynamic formulation of self-managed cloud environments for IoT applications that will serve as a blueprint for non-trivial IoT applications, which are delivered in an autonomic fashion and according to a cloud computing model. A major case study from the domain of digital agriculture is presented at the end of this talk. This case study illustrates how open source IoT cloud services help achieve higher agricultural productivity by analysing data collected from thousands of sensors and cameras to determine which plant(s) perform better in each farm and by predicting future crop production.
