RT Journal Article T1 BETaaS: A Platform for Development and Execution of Machine-to-Machine Applications in the Internet of Things: A Platform for Development and Execution of Machine-to-Machine Applications in the Internet of Things A1 Vallati, Carlo A1 Mingozzi, Enzo A1 Tanganelli, Giacomo A1 Buonaccorsi, Novella A1 Valdambrini, Nicola A1 Zonidis, Nikolaos A1 Martinez-Rodriguez, Belen A1 Mamelli, Alessandro A1 Sommacampagna, Davide A1 Anggorojati, Bayu A1 Kyriazakos, Sofoklis A1 Prasad, Neeli A1 Nieto, Francisco Javier A1 Barreto, Oliver A1 Rodriguez, Oliver Barreto AB The integration of everyday objects into the Internet represents the foundation of the forthcoming Internet of Things (IoT). Such “smart” objects will be the building blocks of the next generation of applications that will exploit interaction between machines to implement enhanced services with minimum or no human intervention in the loop. A crucial factor to enable Machine-to-Machine (M2M) applications is a horizontal service infrastructure that seamlessly integrates existing IoT heterogeneous systems. The authors present BETaaS, a framework that enables horizontal M2M deployments. BETaaS is based on a distributed service infrastructure built on top of an overlay network of gateways that allows seamless integration of existing IoT systems. The platform enables easy deployment of applications by exposing to developers a service oriented interface to access things (the Things-as-a-Service model) regardless of the technology and the physical infrastructure they belong. YR 2016 FD 2016-04-01 LA eng NO Vallati , C , Mingozzi , E , Tanganelli , G , Buonaccorsi , N , Valdambrini , N , Zonidis , N , Martinez-Rodriguez , B , Mamelli , A , Sommacampagna , D , Anggorojati , B , Kyriazakos , S , Prasad , N , Nieto , F J , Barreto , O & Rodriguez , O B 2016 , ' BETaaS: A Platform for Development and Execution of Machine-to-Machine Applications in the Internet of Things : A Platform for Development and Execution of Machine-to-Machine Applications in the Internet of Things ' , unknown , vol. unknown , no. 3 , pp. 1071-1091 . https://doi.org/10.1007/s11277-015-2639-0 NO Publisher Copyright: © 2015, Springer Science+Business Media New York. DS TECNALIA Publications RD 3 jul 2024