Prof. Dr.

Hauswirth, Manfred

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  • Publication
    Autonomic frameworks deployment using configuration and service delivery models for the internet of things
    ( 2015)
    Saniat, Mahmadur Rahman
    ;
    Quoc, Hoan Nguyen Mau
    ;
    Le Van, Huy
    ;
    Le Phuoc, Danh
    ;
    Serrano, Martin
    ;
    Hauswirth, Manfred
    Internet of Things systems rely on the principles for service deployment and configuration based on delivery models. The predominant service delivery model for the Internet of Things architecture is a novel approach to create a global IoT system for Internet Connected Objects. While the service control loop has already been proposed (autonomics), the dynamic deployment of the different modules of an IoT system is still due. In this paper an approach for IoT service delivery model using autonomic management principles, which can deploy and configure IoT services is presented. The use of an implemented framework that helps administrator/user to deploy IoT platform(s) with autonomic methods has been developed. Particularly and as proof of concept example an open source platform (www.superstreamcollider.org) is used to demonstrate service instantiation. The agent-based framework analyses the requirements, dependencies and resolves them following autonomic design principles and also, by design, it deploys the IoT service delivery model into desired platform(s) running in the cloud or into a local machine.
  • Publication
    Internet of things strategic research and innovation agenda
    ( 2014)
    Vermesan, Ovidiu
    ;
    Friess, Peter
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    Guillemin, Patrick
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    Sundmaeker, Harald
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    Eisenhauer, Markus
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    Moessner, Klaus
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    Arndt, Marilyn
    ;
    Spirito, Maurizio
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    Medagliani, Paolo
    ;
    Giaffreda, Raffaele
    ;
    Gusmeroli, Sergio
    ;
    Ladid, Latif
    ;
    Serrano, Martin
    ;
    Hauswirth, Manfred
    ;
    Baldini, Gianmarco
  • Publication
    Smart manufacturing and smart agriculture
    ( 2014)
    Soldatos, John
    ;
    Kefalakis, Nikos
    ;
    Serrano, Martin
    ;
    Hauswirth, Manfred
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    Zaslavsky, Arkady
    ;
    Jayaraman, Prem
    ;
    Dimitropoulos, Panagiotis
    This 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.
  • Publication
    Insights on federated cloud service management and the internet of things
    ( 2014)
    Serrano, Martin
    ;
    Hauswirth, Manfred
    ;
    Soldatos, John
    ;
    Kefalakis, Nikos
  • Publication
    Design principles for utility-driven services and cloud-based computing modelling for the Internet of Things
    ( 2014)
    Soldatos, John
    ;
    Kefalakis, Nikos
    ;
    Serrano, Martin
    ;
    Hauswirth, Manfred
    By 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.
  • Publication
    IoT data management methods and optimisation algorithms for mobile publish/subscribe services in cloud environments
    ( 2014)
    Zarko, Ivana Podnar
    ;
    Pripuzic, Kresimir
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    Serrano, Martin
    ;
    Hauswirth, Manfred
    Recent advances in the Internet of Things (IoT) domain for deploying IoT data systems within the cloud have generated Internet-connected silos of sensor technology which make the collection and processing of sensor-generated information more complex. A viable solution to this problem is the use of local sub-servers acting as collector's hubs between mobile sensing devices and the cloud. Publish/subscribe mechanisms have the capacity to provide full control over the data acquisition and filtering process in mobile IoT environments as well as the methods for implementing optimisations related to energy-efficient data harvesting. The paper formulates design principles for IoT data management methods and optimisation algorithms by means of publish/subscribe middleware and linked data which span over mobile networks and cloud infrastructures to produce a coherent IoT ecosystem. Mobile sensing thus becomes a prominent feature of the OpenIoT platform1, the flaghship Open Source IoT middleware for services based on the automated cloud-based formulation of societies of Internet-connected objects.
  • Publication
    Resource optimisation in IoT cloud systems by using matchmaking and self-management principles
    ( 2013)
    Serrano, Martin
    ;
    Le-Phuoc, Danh
    ;
    Zaremba, Maciej
    ;
    Galis, Alex
    ;
    Bhiri, Sami
    ;
    Hauswirth, Manfred
    IoT Cloud systems provide scalable capacity and dynamic behaviour control of virtual infrastructures for running applications, services and processes. Key aspects in this type of complex systems are the resource optimisation and the performance of dynamic management based on distributed user data metrics and/or IoT application data demands and/or resource utilisation metrics. In this paper we particularly focus on Cloud management perspective - integrating IoT Cloud service data management - based on annotated data of monitored Cloud performance and user profiles (matchmaking) and enabling management systems to use shared infrastructures and resources to enable efficient deployment of IoT services and applications. We illustrate a Cloud service management approach based on matchmaking operations and self-management principles which enable improved distribution and management of IoT services across different Cloud vendors and use the results from the analysis as mechanism to control applications and services deployment in Cloud systems. For our IoT Cloud data management solution we utilize performance metrics expressed with linked data in order to integrate monitored performance data and end user profile information (via linked data relations).
  • Publication
    Convergence of utility computing with the Internet-of-Things
    ( 2012)
    Soldatos, John
    ;
    Serrano, Martin
    ;
    Hauswirth, Manfred
    Despite 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).
  • Publication
    Global sensor modeling and constrained application methods enabling cloud-based open space smart services
    ( 2012)
    Tuán, Anh Lê
    ;
    Quoc, Hoan Nguyen Mau
    ;
    Serrano, Martin
    ;
    Hauswirth, Manfred
    ;
    Soldatos, John
    ;
    Papaioannou, Thanasis
    ;
    Aberer, Karl
    The 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.