AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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2025
Banafa, A.
Artificial intelligence in action: Real-world applications and innovations Book
River Publishers, 2025, ISBN: 978-877004619-0 (ISBN); 978-877004620-6 (ISBN).
Abstract | Links | BibTeX | Tags: 5G, Affective Computing, AGI, AI, AI alignments, AI Ethics, AI hallucinations, AI hype, AI models, Alexa, ANI, ASI, Augmented Reality, Autoencoders, Autonomic computing, Autonomous Cars, Autoregressive models, Big Data, Big Data Analytics, Bitcoin, Blockchain, C3PO, Casual AI, Causal reasoning, ChatGPT, Cloud computing, Collective AI, Compression engines, Computer vision, Conditional Automation, Convolutional neural networks (CNNs), Cryptocurrency, Cybersecurity, Deceptive AI, Deep learning, Digital transformation, Driver Assistance, Driverless Cars, Drones, Elon Musk, Entanglement, Environment and sustainability, Ethereum, Explainable AI, Facebook, Facial Recognition, Feedforward. Neural Networks, Fog Computing, Full Automation, Future of AI, General AI, Generative Adversarial Networks (GANs), Generative AI, Google, Green AI, High Automation, Hybrid Blockchain, IEEE, Industrial Internet of Things (IIoT), Internet of things (IoT), Jarvis, Java, JavaScript, Long Short-Term Memory Networks, LTE, machine learning, Microsoft, MultiModal AI, Narrow AI, Natural disasters, Natural Language Generation (NLG), Natural Language Processing (NLP), NetFlix, Network Security, Neural Networks, Nuclear, Nuclear AI, NYTimes, Objective-driven AI, Open Source, Partial Automation, PayPal, Perfect AI, Private Blockchain, Private Cloud Computing, Programming languages, Python, Quantum Communications, Quantum Computing, Quantum Cryptography, Quantum internet, Quantum Machine Learning (QML), R2D2, Reactive machines. limited memory, Recurrent Neural Networks, Responsible AI, Robots, Sci-Fi movies, Self-Aware, Semiconductorâ??s, Sensate AI, Siri, Small Data, Smart Contracts. Hybrid Cloud Computing, Smart Devices, Sovereign AI, Super AI, Superposition, TensorFlow, Theory of Mind, Thick Data, Twitter, Variational Autoencoders (VAEs), Virtual Reality, Voice user interface (VUI), Wearable computing devices (WCD), Wearable Technology, Wi-Fi, XAI, Zero-Trust Model
@book{banafa_artificial_2025,
title = {Artificial intelligence in action: Real-world applications and innovations},
author = {A. Banafa},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000403587&partnerID=40&md5=4b0d94be48194a942b22bef63f36d3bf},
isbn = {978-877004619-0 (ISBN); 978-877004620-6 (ISBN)},
year = {2025},
date = {2025-01-01},
publisher = {River Publishers},
series = {Artificial Intelligence in Action: Real-World Applications and Innovations},
abstract = {This comprehensive book dives deep into the current landscape of AI, exploring its fundamental principles, development challenges, potential risks, and the cutting-edge breakthroughs that are propelling it forward. Artificial intelligence (AI) is rapidly transforming industries and societies worldwide through groundbreaking innovations and real-world applications. Starting with the core concepts, the book examines the various types of AI systems, generative AI models, and the complexities of machine learning. It delves into the programming languages driving AI development, data pipelines, model creation and deployment processes, while shedding light on issues like AI hallucinations and the intricate path of machine unlearning. The book then showcases the remarkable real-world applications of AI across diverse domains. From preventing job displacement and promoting environmental sustainability, to enhancing disaster response, drone technology, and even nuclear energy innovation, it highlights how AI is tackling complex challenges and driving positive change. The book also explores the double-edged nature of AI, recognizing its tremendous potential while cautioning about the risks of misuse, unintended consequences, and the urgent need for responsible development practices. It examines the intersection of AI and fields like operating system design, warfare, and semiconductor technology, underscoring the wide-ranging implications of this transformative force. As the quest for artificial general intelligence (AGI) and superintelligent AI systems intensifies, the book delves into cutting-edge research, emerging trends, and the pursuit of multimodal, explainable, and causally aware AI systems. It explores the symbiotic relationship between AI and human creativity, the rise of user-friendly "casual AI," and the potential of AI to tackle open-ended tasks. This is an essential guide for understanding the profound impact of AI on our world today and its potential to shape our future. From the frontiers of innovation to the challenges of responsible development, this book offers a comprehensive and insightful exploration of the remarkable real-world applications and innovations driving the AI revolution. © 2025 River Publishers. All rights reserved.},
keywords = {5G, Affective Computing, AGI, AI, AI alignments, AI Ethics, AI hallucinations, AI hype, AI models, Alexa, ANI, ASI, Augmented Reality, Autoencoders, Autonomic computing, Autonomous Cars, Autoregressive models, Big Data, Big Data Analytics, Bitcoin, Blockchain, C3PO, Casual AI, Causal reasoning, ChatGPT, Cloud computing, Collective AI, Compression engines, Computer vision, Conditional Automation, Convolutional neural networks (CNNs), Cryptocurrency, Cybersecurity, Deceptive AI, Deep learning, Digital transformation, Driver Assistance, Driverless Cars, Drones, Elon Musk, Entanglement, Environment and sustainability, Ethereum, Explainable AI, Facebook, Facial Recognition, Feedforward. Neural Networks, Fog Computing, Full Automation, Future of AI, General AI, Generative Adversarial Networks (GANs), Generative AI, Google, Green AI, High Automation, Hybrid Blockchain, IEEE, Industrial Internet of Things (IIoT), Internet of things (IoT), Jarvis, Java, JavaScript, Long Short-Term Memory Networks, LTE, machine learning, Microsoft, MultiModal AI, Narrow AI, Natural disasters, Natural Language Generation (NLG), Natural Language Processing (NLP), NetFlix, Network Security, Neural Networks, Nuclear, Nuclear AI, NYTimes, Objective-driven AI, Open Source, Partial Automation, PayPal, Perfect AI, Private Blockchain, Private Cloud Computing, Programming languages, Python, Quantum Communications, Quantum Computing, Quantum Cryptography, Quantum internet, Quantum Machine Learning (QML), R2D2, Reactive machines. limited memory, Recurrent Neural Networks, Responsible AI, Robots, Sci-Fi movies, Self-Aware, Semiconductorâ??s, Sensate AI, Siri, Small Data, Smart Contracts. Hybrid Cloud Computing, Smart Devices, Sovereign AI, Super AI, Superposition, TensorFlow, Theory of Mind, Thick Data, Twitter, Variational Autoencoders (VAEs), Virtual Reality, Voice user interface (VUI), Wearable computing devices (WCD), Wearable Technology, Wi-Fi, XAI, Zero-Trust Model},
pubstate = {published},
tppubtype = {book}
}
2023
Banafa, A.
Transformative AI: Responsible, Transparent, and Trustworthy AI Systems Book
River Publishers, 2023, ISBN: 978-877004018-1 (ISBN); 978-877004019-8 (ISBN).
Abstract | Links | BibTeX | Tags: 5G, Affective Computing, AI, AI Ethics, Alexa, Augment Reality, Autoencoders, Autonomous Cars, Autoregressive models, Big Data, Big Data Analytics, Bitcoin, Blockchain, C3PO, ChatGPT, Cloud computing, CNN, Computer vision, Conditional Automation, Convolutional Neural Networks, Cryptocurrency, Cybersecurity, Deep learning, Digital transformation, Driver Assistance, Driverless Cars, Entanglement, Ethereum, Explainable AI. Environment and sustainability, Facebook, Facial Recognition, Feedforward. Neural Networks, Fog Computing, Full Automation, General AI, Generative Adversarial Networks (GANs), Generative AI, Google, High Automation, Hybrid Blockchain, IEEE, IIoT, Industrial Internet of Things, Internet of Things, IoT, Jarvis, Long Short-Term Memory Networks, LTE, Machin Learning, Microsoft, Narrow AI, Natural Language Generation (NLG), Natural Language Processing (NLP), NetFlix, Network Security, Neural Networks, NYTimes, Open Source, Partial Automation, PayPal, Private Blockchain, Private Cloud Computing, Quantum Communications, Quantum Computing, Quantum Cryptography, Quantum Internet. Wearable Computing Devices (WCD). Autonomic Computing, Quantum Machine Learning (QML), R2D2, Reactive Machines . Limited Memory, Recurrent Neural Networks, Robots, Sci-Fi movies, Self-Aware, Siri, Small Data, Smart Contracts. Hybrid Cloud Computing, Smart Devices, Super AI, Superposition, Theory of Mind, Thick Data, Twitter, Variational Autoencoders (VAEs), Virtual Reality, Voice User Interface, VUI, Wearable Technology, Wi-Fi, Zero-Trust Model
@book{banafa_transformative_2023,
title = {Transformative AI: Responsible, Transparent, and Trustworthy AI Systems},
author = {A. Banafa},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180544759&partnerID=40&md5=c1fcd00f4b40e16156d9877185f66554},
isbn = {978-877004018-1 (ISBN); 978-877004019-8 (ISBN)},
year = {2023},
date = {2023-01-01},
publisher = {River Publishers},
series = {Transformative AI: Responsible, Transparent, and Trustworthy AI Systems},
abstract = {Transformative AI provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial Intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics, and explores how these technologies are transforming various industries and domains, such as healthcare, finance, education, and entertainment. The book also addresses the challenges that come with the widespread adoption of AI, including ethical concerns, bias, and the impact on jobs and society. It provides insights into how to mitigate these challenges and how to design AI systems that are responsible, transparent, and trustworthy. The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities. Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of Artificial Intelligence and understand the impact that this transformative technology will have on our lives in the coming years. © 2024 River Publishers. All rights reserved.},
keywords = {5G, Affective Computing, AI, AI Ethics, Alexa, Augment Reality, Autoencoders, Autonomous Cars, Autoregressive models, Big Data, Big Data Analytics, Bitcoin, Blockchain, C3PO, ChatGPT, Cloud computing, CNN, Computer vision, Conditional Automation, Convolutional Neural Networks, Cryptocurrency, Cybersecurity, Deep learning, Digital transformation, Driver Assistance, Driverless Cars, Entanglement, Ethereum, Explainable AI. Environment and sustainability, Facebook, Facial Recognition, Feedforward. Neural Networks, Fog Computing, Full Automation, General AI, Generative Adversarial Networks (GANs), Generative AI, Google, High Automation, Hybrid Blockchain, IEEE, IIoT, Industrial Internet of Things, Internet of Things, IoT, Jarvis, Long Short-Term Memory Networks, LTE, Machin Learning, Microsoft, Narrow AI, Natural Language Generation (NLG), Natural Language Processing (NLP), NetFlix, Network Security, Neural Networks, NYTimes, Open Source, Partial Automation, PayPal, Private Blockchain, Private Cloud Computing, Quantum Communications, Quantum Computing, Quantum Cryptography, Quantum Internet. Wearable Computing Devices (WCD). Autonomic Computing, Quantum Machine Learning (QML), R2D2, Reactive Machines . Limited Memory, Recurrent Neural Networks, Robots, Sci-Fi movies, Self-Aware, Siri, Small Data, Smart Contracts. Hybrid Cloud Computing, Smart Devices, Super AI, Superposition, Theory of Mind, Thick Data, Twitter, Variational Autoencoders (VAEs), Virtual Reality, Voice User Interface, VUI, Wearable Technology, Wi-Fi, Zero-Trust Model},
pubstate = {published},
tppubtype = {book}
}
Jacoby, D.; Xu, D.; Ribas, W.; Xu, M.; Liu, T.; Jeyaraman, V.; Wei, M.; Blois, E. D.; Coady, Y.
Efficient Cloud Pipelines for Neural Radiance Fields Proceedings Article
In: S., Chakrabarti; R., Paul (Ed.): IEEE Annu. Ubiquitous Comput., Electron. Mob. Commun. Conf., UEMCON, pp. 114–119, Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 979-835030413-8 (ISBN).
Abstract | Links | BibTeX | Tags: Azure, Change detection, Cloud analytics, Cloud computing, Cloud-computing, Cluster computing, Containerization, Creatives, Geo-spatial, Multi-views, Neural radiance field, Neural Radiance Fields, Pipelines, User interfaces, Virtual production, Vision communities, Windows operating system
@inproceedings{jacoby_efficient_2023,
title = {Efficient Cloud Pipelines for Neural Radiance Fields},
author = {D. Jacoby and D. Xu and W. Ribas and M. Xu and T. Liu and V. Jeyaraman and M. Wei and E. D. Blois and Y. Coady},
editor = {Chakrabarti S. and Paul R.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179765347&doi=10.1109%2fUEMCON59035.2023.10316126&partnerID=40&md5=2640a2b033c9200560f93898a178dbbe},
doi = {10.1109/UEMCON59035.2023.10316126},
isbn = {979-835030413-8 (ISBN)},
year = {2023},
date = {2023-01-01},
booktitle = {IEEE Annu. Ubiquitous Comput., Electron. Mob. Commun. Conf., UEMCON},
pages = {114–119},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Since their introduction in 2020, Neural Radiance Fields (NeRFs) have taken the computer vision community by storm. They provide a multi-view representation of a scene or object that is ideal for eXtended Reality (XR) applications and for creative endeavors such as virtual production, as well as change detection operations in geospatial analytics. The computational cost of these generative AI models is quite high, however, and the construction of cloud pipelines to generate NeRFs is neccesary to realize their potential in client applications. In this paper, we present pipelines on a high performance academic computing cluster and compare it with a pipeline implemented on Microsoft Azure. Along the way, we describe some uses of NeRFs in enabling novel user interaction scenarios. © 2023 IEEE.},
keywords = {Azure, Change detection, Cloud analytics, Cloud computing, Cloud-computing, Cluster computing, Containerization, Creatives, Geo-spatial, Multi-views, Neural radiance field, Neural Radiance Fields, Pipelines, User interfaces, Virtual production, Vision communities, Windows operating system},
pubstate = {published},
tppubtype = {inproceedings}
}
2022
Peretokin, Vadim; Basdekis, Ioannis; Kouris, Ioannis; Maggesi, Jonatan; Sicuranza, Mario; Su, Qiqi; Acebes, Alberto; Bucur, Anca; Mukkala, Vinod; Pozdniakov, Konstantin; Kloukinas, Christos; Koutsouris, Dimitrios; Iliadou, Elefteria; Leontsinis, Ioannis; Gallo, Luigi; Pietro, Giuseppe De; Spanoudakis, George
Overview of the SMART-BEAR Technical Infrastructure Best Paper Proceedings Article
In: Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and E-Health, pp. 117–125, SCITEPRESS - Science and Technology Publications, Online, 2022, ISBN: 978-989-758-566-1.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Balance Disorder, Cardiovascular Disease, Cloud computing, Evidence-based, GDPR, Healthcare, Hearing Loss, HL7 FHIR, Interoperability, Semantics
@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}
}
Peretokin, Vadim; Basdekis, Ioannis; Kouris, Ioannis; Maggesi, Jonatan; Sicuranza, Mario; Su, Qiqi; Acebes, Alberto; Bucur, Anca; Mukkala, Vinod; Pozdniakov, Konstantin; Kloukinas, Christos; Koutsouris, Dimitrios; Iliadou, Elefteria; Leontsinis, Ioannis; Gallo, Luigi; Pietro, Giuseppe De; Spanoudakis, George
Overview of the SMART-BEAR Technical Infrastructure Proceedings Article
In: Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health, pp. 117–125, SCITEPRESS - Science and Technology Publications, Online, 2022, ISBN: 978-989-758-566-1.
Abstract | Links | BibTeX | Tags: Artificial intelligence, Balance Disorder, Cardiovascular Disease, Cloud computing, Evidence-based, GDPR, Healthcare, Hearing Loss, HL7 FHIR, Interoperability, Semantics
@inproceedings{peretokin_overview_2022,
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},
url = {https://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0011082700003188},
doi = {10.5220/0011082700003188},
isbn = {978-989-758-566-1},
year = {2022},
date = {2022-01-01},
urldate = {2023-03-15},
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}
}
2017
Sabatucci, Luca; Lopes, Salvatore; Cossentino, Massimo
Self-Configuring Cloud Application Mashup with Goals and Capabilities Journal Article
In: Cluster Computing, vol. 20, no. 3, pp. 2047–2063, 2017.
Abstract | Links | BibTeX | Tags: Business Process, Cloud computing, Goal-Oriented Approach, Self-Adaptive Systems, Self-Configuration, Software engineering
@article{sabatucciSelfconfiguringCloudApplication2017,
title = {Self-Configuring Cloud Application Mashup with Goals and Capabilities},
author = { Luca Sabatucci and Salvatore Lopes and Massimo Cossentino},
doi = {10.1007/s10586-017-0911-7},
year = {2017},
date = {2017-01-01},
journal = {Cluster Computing},
volume = {20},
number = {3},
pages = {2047--2063},
abstract = {Cloud mashup is a technique for the seamless composition of SaaS applications from several sources into a single integrated solution. This paper presents a general approach for automatically composing applications and services deployed over the Cloud. The proposed approach implies to encapsulate distributed processes into smart and autonomic entities, namely cloud capabilities. Despite the lack of a central mashup server, these processes are able to autonomously organize in order to establish different ways to address the desired result. The approach uses a couple of languages for describing respectively the mashup logic in terms of goals and the available functionalities in terms of capabilities. The explicit decoupling between user's goals and capabilities provides the system the freedom to generate the orchestration plan at run-time, according to the contextual state. An industrial case study, conducted in for a scientific project, has provided the conditions for evaluating the running example of a B2B business process for a fashion enterprise.},
keywords = {Business Process, Cloud computing, Goal-Oriented Approach, Self-Adaptive Systems, Self-Configuration, Software engineering},
pubstate = {published},
tppubtype = {article}
}
Sabatucci, Luca; Lopes, Salvatore; Cossentino, Massimo
Self-configuring cloud application mashup with goals and capabilities Journal Article
In: Cluster Computing, vol. 20, no. 3, pp. 2047–2063, 2017.
Abstract | Links | BibTeX | Tags: Business Process, Cloud computing, Goal-Oriented Approach, Self-Adaptive Systems, Self-Configuration, Software engineering
@article{sabatucci_self-configuring_2017,
title = {Self-configuring cloud application mashup with goals and capabilities},
author = {Luca Sabatucci and Salvatore Lopes and Massimo Cossentino},
doi = {10.1007/s10586-017-0911-7},
year = {2017},
date = {2017-01-01},
journal = {Cluster Computing},
volume = {20},
number = {3},
pages = {2047–2063},
abstract = {Cloud mashup is a technique for the seamless composition of SaaS applications from several sources into a single integrated solution. This paper presents a general approach for automatically composing applications and services deployed over the Cloud. The proposed approach implies to encapsulate distributed processes into smart and autonomic entities, namely cloud capabilities. Despite the lack of a central mashup server, these processes are able to autonomously organize in order to establish different ways to address the desired result. The approach uses a couple of languages for describing respectively the mashup logic in terms of goals and the available functionalities in terms of capabilities. The explicit decoupling between user’s goals and capabilities provides the system the freedom to generate the orchestration plan at run-time, according to the contextual state. An industrial case study, conducted in for a scientific project, has provided the conditions for evaluating the running example of a B2B business process for a fashion enterprise.},
keywords = {Business Process, Cloud computing, Goal-Oriented Approach, Self-Adaptive Systems, Self-Configuration, Software engineering},
pubstate = {published},
tppubtype = {article}
}
2016
Cavaleri, Antonella; Cossentino, Massimo; Lodato, Carmelo; Lopes, Salvatore; Sabatucci, Luca
Self-Configuring Mashup of Cloud Applications Proceedings Article
In: In Proceedings of the 17th Edition of the International Workshop "From Objects to Agents", CEUR, 2016.
Abstract | BibTeX | Tags: Automatic service composition, Business Process, Cloud computing, Mashup applications
@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}
}
Sabatucci, Luca; Lopes, Salvatore; Cossentino, Massimo
A Goal-Oriented Approach for Self-Configuring Mashup of Cloud Applications Proceedings Article
In: In Proceedings of the IEEE International Conference on Cloud and Autonomic Computing (ICCAC 2016 IEEE International Conference on Cloud and Autonomic Computing (ICCAC 2016), 2016.
Abstract | Links | BibTeX | Tags: Cloud computing, Goal-Oriented Approach, Mashup applications, Self-Adaptive Systems
@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}
}
Cavaleri, Antonella; Cossentino, Massimo; Lodato, Carmelo; Lopes, Salvatore; Sabatucci, Luca
Self-Configuring Mashup of Cloud Applications Proceedings Article
In: In Proceedings of the 17th edition of the International Workshop "From Objects to Agents", CEUR, 2016.
Abstract | Links | BibTeX | Tags: Automatic service composition, Business Process, Cloud computing, Mashup applications
@inproceedings{cavaleri_self-configuring_2016,
title = {Self-Configuring Mashup of Cloud Applications},
author = {Antonella Cavaleri and Massimo Cossentino and Carmelo Lodato and Salvatore Lopes and Luca Sabatucci},
url = {https://ceur-ws.org/Vol-1664/w12.pdf},
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}
}
Sabatucci, Luca; Lopes, Salvatore; Cossentino, Massimo
A Goal-Oriented Approach for Self-Configuring Mashup of Cloud Applications Proceedings Article
In: In Proceedings of the IEEE International Conference on Cloud and Autonomic Computing (ICCAC 2016 IEEE International Conference on Cloud and Autonomic Computing (ICCAC 2016), 2016.
Abstract | Links | BibTeX | Tags: Cloud computing, Goal-Oriented Approach, Mashup applications, Self-Adaptive Systems
@inproceedings{sabatucci_goal-oriented_2016,
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}
}
2015
Sabatucci, Luca; Lodato, Carmelo; Lopes, Salvatore; Cossentino, Massimo
Highly Customizable Service Composition and Orchestration Proceedings Article
In: Service Oriented and Cloud Computing: 4th European Conference, ESOCC 2015, Taormina, Italy, September 15-17, 2015, Proceedings 4, pp. 156–170, Springer International Publishing, 2015.
Abstract | Links | BibTeX | Tags: Automatic service composition, Cloud computing, Holonic system, Self-Configuration
@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}
}
Sabatucci, Luca; Lodato, Carmelo; Lopes, Salvatore; Cossentino, Massimo
Highly customizable service composition and orchestration Proceedings Article
In: Service Oriented and Cloud Computing: 4th European Conference, ESOCC 2015, Taormina, Italy, September 15-17, 2015, Proceedings 4, pp. 156–170, Springer International Publishing, 2015.
Abstract | Links | BibTeX | Tags: Automatic service composition, Cloud computing, Holonic system, Self-Configuration
@inproceedings{sabatucci_highly_2015,
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}
}