2012 · 146 citations · 4 references
ComputingCloud ComputingHigh-performance ComputingCloud ArchitectureCloud InfrastructureInternet Of ThingsIot ActuatorsIot Application DevelopmentIot ArchitectureIot Cloud PlatformsIot Embedded SystemsIot MiddlewareCloud-based Iot ApplicationsData AccessDistributed CloudDistributed Embedded SystemsDistributed Iot ApplicationsIot Application ArchitectureScalable Iot ArchitecturesScalable Iot Systems
The Internet of Things (IoT) many be thought of as the availability of physical objects, or devices, on the Internet [1]. Given such an arrangement it is possible to access sensor data and control actuators remotely. Furthermore such data may be combined with data from other sources - e.g. with data that is contained in the Web - or operated on by cloud based services to create applications far richer than can be provided by isolated embedded systems [2,3]. This is the vision of the Internet of Things. We present a cloud-compatible open source controller and an extensible API, hereafter referred to as `IoTCloud', which enables developers to create scalable high performance IoT and sensor-centric applications. The IoTCloud software is written in Java and built on popular open source packages such as Apache Active MQ [4] and JBoss Netty [5]. We present an overview of the IoT Cloud architecture and describe its developer API. Next we introduce the FutureGrid - a geographically distributed and heterogeneous cloud test-bed [6,7] - used in our experiments. Our preliminary results indicate that a distributed cloud infrastructure like the FutureGrid coupled with our flexible IoTCloud framework is an environment suitable for the study and development of IoT and sensor-centric applications. We also report on our initial study of certain measured characteristics of an IoTCloud application running on the FutureGrid. We conclude by inviting interested parties to use the IoTCloud to create their own IoT applications or contribute to its further development.
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The Eucalyptus Open-Source Cloud-Computing System
Daniel Nurmi, Rich Wolski, Chris Grzegorczyk et al. · 2009 · 1.8K citations
A model for web services discovery with QoS
Shuping Ran · ACM SIGecom Exchanges · 2003 · 998 citations