Publications

@inproceedings{peretokinOverviewSMARTBEARTechnical2022,

title = {Overview of the SMART-BEAR Technical Infrastructure},

author = { Vadim Peretokin and Ioannis Basdekis and Ioannis Kouris and Jonatan Maggesi and Mario Sicuranza and Qiqi Su and Alberto Acebes and Anca Bucur and Vinod Mukkala and Konstantin Pozdniakov and Christos Kloukinas and Dimitrios Koutsouris and Elefteria Iliadou and Ioannis Leontsinis and Luigi Gallo and Giuseppe De Pietro and George Spanoudakis},

doi = {10.5220/0011082700003188},

isbn = {978-989-758-566-1},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and E-Health},

pages = {117--125},

publisher = {SCITEPRESS - Science and Technology Publications},

address = {Online},

abstract = {This paper describes a cloud-based platform that offers evidence-based, personalised interventions powered by Artificial Intelligence to help support efficient remote monitoring and clinician-driven guidance to people over 65 who suffer or are at risk of hearing loss, cardiovascular diseases, cognitive impairments, balance disorders, and mental health issues. This platform has been developed within the SMART-BEAR integrated project to power its large-scale clinical pilots and comprises a standards-based data harmonisation and management layer, a security component, a Big Data Analytics system, a Clinical Decision Support tool, and a dashboard component for efficient data collection across the pilot sites.},

keywords = {Artificial intelligence, Balance Disorder, Cardiovascular Disease, Cloud computing, Evidence-based, GDPR, Healthcare, Hearing Loss, HL7 FHIR, Interoperability, Semantics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{cavaleriSelfConfiguringMashupCloud2016,

title = {Self-Configuring Mashup of Cloud Applications},

author = { Antonella Cavaleri and Massimo Cossentino and Carmelo Lodato and Salvatore Lopes and Luca Sabatucci},

year  = {2016},

date = {2016-01-01},

booktitle = {In Proceedings of the 17th Edition of the International Workshop "From Objects to Agents"},

volume = {1664},

publisher = {CEUR},

abstract = {This paper presents a general approach for automatic composing and orchestrating applications distributed over the cloud. The process is driven by user requirements that are made explicit though a goal specification language. The self-configuration module dynamically organizes a mashup application by composing existing cloud application as atomic brick to compose. Finally the orchestrator module is responsible of a seamless enacting of the selected cloud applications. A prototype has been implemented as a multi agent system for implementing the business process for a company working for fashion firms.},

keywords = {Automatic service composition, Business Process, Cloud computing, Mashup applications},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{sabatucciGoalOrientedApproachSelfConfiguring2016,

title = {A Goal-Oriented Approach for Self-Configuring Mashup of Cloud Applications},

author = { Luca Sabatucci and Salvatore Lopes and Massimo Cossentino},

doi = {10.1109/ICCAC.2016.14},

year  = {2016},

date = {2016-01-01},

booktitle = {In Proceedings of the IEEE International Conference on Cloud and Autonomic Computing (ICCAC 2016 IEEE International Conference on Cloud and Autonomic Computing (ICCAC 2016)},

abstract = {This paper presents a general approach for automatic composing mashups of applications distributed over the cloud. The approach implies to wrap existing services in smart and autonomic entities, namely cloud capabilities. These are able to interact and coordinate themselves in order to establish different ways to orchestrate their contained services. The main enabler of this technology is based on an explicit distinction between user's goals and the way to address them. A couple of language has been adopted to describe respectively the mashup logic in terms of goals and the available functionalities in terms of capabilities. A running example has been developed for extending B2B business processes of a fashion enterprise.},

keywords = {Cloud computing, Goal-Oriented Approach, Mashup applications, Self-Adaptive Systems},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{sabatucciHighlyCustomizableService2015,

title = {Highly Customizable Service Composition and Orchestration},

author = { Luca Sabatucci and Carmelo Lodato and Salvatore Lopes and Massimo Cossentino},

doi = {10.1007/978-3-319-24072-5_11},

year  = {2015},

date = {2015-01-01},

booktitle = {Service Oriented and Cloud Computing: 4th European Conference, ESOCC 2015, Taormina, Italy, September 15-17, 2015, Proceedings 4},

pages = {156--170},

publisher = {Springer International Publishing},

abstract = {One of the current challenges of Service Oriented Engineering is to provide instruments for dealing with dynamic and unpredictable user requirements and environment. Traditional approaches based on workflow for orchestrating services provide little support for configuring at run-time the flow of activities. This paper presents a general approach for composing and orchestrating services in a self-organization fashion. User requirements are made explicit in the system by a goal specification language. These can be injected into the running orchestration system that is able to autonomously and contextually reason on them. Therefore, the system dynamically organizes its structure for addressing the result. A prototype of the system has been implemented in JASON, a language for programming multi agent systems. Some aggregate statistics of execution are reported and discussed.},

keywords = {Automatic service composition, Cloud computing, Holonic system, Self-Configuration},

pubstate = {published},

tppubtype = {inproceedings}

}