Publications Search Results
Now showing 1 - 6 of 6
PublicationExperimentation as a Service Over Semantically Interoperable Internet of Things Testbeds( 2018)
;Lanza, Jorge ;Sánchez, Luis ;Santana, Juan Ramón ;Agarwal, Rachit ;Kefalakis, Nikolaos ;Grace, Paul ;Elsaleh, Tarek ;Zhao, Mengxuan ;Tragos, Elias ;Nguyen, Hung ;Cirillo, Flavio ;Steinke, RonaldSoldatos, JohnInfrastructures enabling experimental assessment of Internet of Things (IoT) solutions are scarce. Moreover, such infrastructures are typically bound to a specific application domain, thus, not facilitating the testing of solutions with a horizontal approach. This paper presents a platform that supports Experimentation as s Service (EaaS) over a federation of IoT testbeds. This platform brings two major advances. First, it leverages semantic web technologies to enable interoperability so that testbed agnostic access to the underlying facilities is allowed. Second, a set of tools ease both the experimentation workflow and the federation of other IoT deployments, independently of their domain of interest. Apart from the platform specification, this paper presents how this design has been actually instantiated into a cloud-based EaaS platform that has been used for supporting a wide variety of novel experiments targeting different research and innovation challenges. In this respect, this paper summarizes some of the experiences from these experiments and the key performance metrics that this instance of the platform has exhibited during the experimentation.
PublicationDesign principles for utility-driven services and cloud-based computing modelling for the Internet of Things( 2014)
;Soldatos, John ;Kefalakis, Nikos ;Serrano, MartinBy following an analysis of the state of the art in the convergence of cloud computing and the Internet of Things (IoT), this paper presents design principles for the IoT in cloud environments. A framework for on-demand establishment of IoT services based on the automated formulation of societies of internet-connected objects is described and the interactions between architecture modules are explained in detail to validate this approach. The main building blocks of the functional framework and its operational components follow the utility-driven cloud-based computing model. The framework leverages well-known technologies (i.e. linked sensor data) and standards (notably the W3C semantic sensor networks ontology). Finally, an example for service formulation and delivery of services for a smart campus scenario is provided and discussed. This paper also introduces some experiment results using the utility-driven service formulation model for mobile applications.
PublicationInsights on federated cloud service management and the internet of things( 2014)
;Serrano, Martin ; ;Soldatos, JohnKefalakis, Nikos
PublicationSmart manufacturing and smart agriculture( 2014)
;Soldatos, John ;Kefalakis, Nikos ;Serrano, Martin ; ;Zaslavsky, Arkady ;Jayaraman, PremDimitropoulos, PanagiotisThis chapter introduces successful deployments of the OpenIoT platform in the manufacturing and farming domains by means of smart applications. OpenIoT is an award-winner open source platform for building and deployment semantically interoperable IoT deployments in the cloud. It allows the streaming and semantic unification of diverse data streams in the cloud, while at the same time offering visual tools for developing and deploying applications. The presentation of the deployments aims at providing application examples (case studies), which could be extended and replicated in the same or even other domains. The smart manufacturing application illustrates the streaming of numerous manufacturing plant sensors within a cloud infrastructure, along with their combination and use in order to dynamically define and calculate indicators of manufacturing performance. The merit of this approach is that it allows plant managers to dynamically compose and exploit the various sensors, rather than relying on a closed limited set of predefined indicators. The smart agriculture application illustrates the large-scale collection and processing of sensor-derived information for optimizing crop management. To this end, appropriate reports are created and offered to bio-plant experts, which accordingly can interpret the measure for crop optimization.
PublicationConvergence of utility computing with the Internet-of-Things( 2012)
;Soldatos, John ;Serrano, MartinDespite recent advances in the IoT area for developing control systems into the cloud, the proliferation of inter-connected entities and the collection of diverse information act as the big challenges in order to provide full control over IoT devices. Solutions to the problem of formulating and managing internet-connected objects in cloud environments i.e. environments comprising "entities" and resources (such as sensors, actuators and smart devices) in cloud infrastructures are still in their infancy. This paper formulates design principles for IoT cloud environments and introduces a framework for the converging utility-driven cloud-based computing models, with emerging Internet-of-Things (IoT) infrastructures and applications into the cloud. Following results from analyzing the state-of-the-art and efforts towards the convergence of cloud computing and IoT, this paper also presents the main building blocks of a framework, which emphasizes on-demand establishment of IoT services based on the automated formulation of societies of internet-connected objects. The framework leverages well-known technologies (i.e. Linked Sensor Data) and standards (notably the W3C Semantic Sensor Networks ontology and the IETF COAP protocol).
PublicationGlobal sensor modeling and constrained application methods enabling cloud-based open space smart services( 2012)
;Tuán, Anh Lê ;Quoc, Hoan Nguyen Mau ;Serrano, Martin ; ;Soldatos, John ;Papaioannou, ThanasisAberer, KarlThe deployment and provisioning of intelligent systems and utility-based services will greatly benefit from a cloud-based intelligent middleware framework, which could be deployed over multiple infrastructure providers (such as smart cities, hospitals, campus and private enterprises, offices, etc.) in order to deliver on-demand access to smart services. This paper introduces the formulation of an open source integrated intelligent platform as solution for integrating global sensor networks, providing design principles for cloud-based intelligent environments and discuss infrastructure functional modules and their implementation. This paper review briefly technologies enabling the framework, towards emphasizes on demand establishment of smart cities services based on the automated formulation of ubiquitous intelligence of Internet connected objects. The framework introduced founds on the GSN infrastructure. The framework leverages W3C SSN-XG formal language and the IETF COAP protocol, providing support for enabling intelligent (sensors-objects) services. The service requirements for particular smart city scenario are introduced and initial implementations and results from performed simulations studied and discussed.