Caporarello, L., Di Martino, B. & Martinez, M (2014). Composing and orchestrating the smart artifacts: Technological and organizational challenges. In, pages 1-8.[More][Digital version]
Di Martino, B., Cretella, G. & Esposito, A (2014). Towards a unified OWL ontology of cloud vendors' appliances and services at paas and saas level. In, pages 570-575.[More][Digital version]
Aversa, R., Di Martino, B. & Moscato, F. (2014). Critical systems verification in MetaMORP(h)OSY. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8696 LNCS, 119-129.[More][Digital version]
Martino, B. D., Esposito, A. & Barbato, A. (2014). High performance cloud: A mapreduce and GPGPU based hybrid approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8729, 64-73.[More][Digital version]
Martino, B. D., Cretella, G., Esposito, A. & Carta, G. (2014). Semantic representation of cloud services: a case study for openstack. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8729, 39-50.[More][Digital version]
Zazzaro, G., Gigante, G., Zaccariello, E., Ficco, M. & Di Martino, B (2014). Supporting development of certified aeronautical components by applying text analysis techniques. In, pages 602-607.[More][Digital version]
Barberio, G., Di Martino, B., Mazzocca, N., Velardi, L., Amato, A., Guglielmo, R. D. et al. (2014). An interoperable testing environment for ERTMS/ETCS control systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8696 LNCS, 147-156.[More][Digital version]
Amato, A., Martino, B. D. & Venticinque, S. (2014). Multi-objective genetic algorithm for multi-cloud brokering. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8374 LNCS, 55-64.[More][Digital version]
Amato, A., Martino, B. D., Scialdone, M. & Venticinque, S (2014). An agent-based approach for smart energy grids. In, pages 164-171.[More][Digital version]
Martino, B. D., Venticinque, S., Kyriazis, D. & Gogouvitis, S. V. (2014). A comparison of two different approaches to cloud monitoring. Studies in Computational Intelligence, 495, 69-91.[More][Digital version]
Amato, A., Martino, B. D., Scialdone, M. & Venticinque, S. (2014). Personalized recommendation of semantically annotated media contents. Studies in Computational Intelligence, 511, 261-270.[More][Digital version]
Amato, A., Martino, B. D. & Venticinque, S. (2014). Agents based multi-criteria decision-aid. Journal of Ambient Intelligence and Humanized Computing, 5(5), 747-758.[More][Digital version]
Martino, B. D. & Venticinque, S (2014). Welcome message from the international workshop co-chairs : SWISM 2014. In, pages lv.[More][Digital version]
Amato, A., Martino, B. D., Scialdone, M. & Venticinque, S (2014). Towards a SLA for collaborating smart solar-powered micro-grids. In, pages 592-597.[More][Digital version]
Amato, A., Martino, B. D., Scialdone, M. & Venticinque, S. (2014). Image recognition, augmented reality and personalized recommendation for the comprehension of archaeological contexts. Mondo Digitale, 13(51), 314-323.[More][Digital version]
Amato, A., Martino, B. D. & Venticinque, S (2014). Big data processing for pervasive environment in cloud computing. In, pages 598-603.[More][Digital version]
Amato, A. & Venticinque, S. (2014). A distributed agent-based decision support for cloud brokering. Scalable Computing, 15(1), 65-78.[More][Digital version]
Amato, A. & Venticinque, S. (2014). Big data management systems for the exploitation of pervasive environments. Studies in Computational Intelligence, 546, 67-89.[More][Digital version]
Venticinque, S., Tasquier, L. & Di Martino, B. (2014). A RESTFull interface for scalable agents based cloud services. International Journal of Ad Hoc and Ubiquitous Computing, 16(4), 219-231.[More][Digital version]
Amato, A., Venticinque, S. & Martino, B. D. (2014). A distributed and scalable solution for applying semantic techniques to big data. International Journal of Mobile Computing and Multimedia Communications, 6(2), 50-67.[More][Digital version]
Venticinque, A., Mazzocca, N. & Venticinque, S (2014). A semantic support for testing activities of safety-critical embedded systems. In, pages 576-581.[More][Digital version]
Amato, A., Martino, B. D., Scialdone, M., Venticinque, S., Hallsteinsen, S. & Jiang, S. (2014). A distributed system for smart energy negotiation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8729, 422-434.[More][Digital version]
Amato, A., Aversa, R., Martino, B. D., Scialdone, M., Venticinque, S., Hallsteinsen, S. et al (2014). Software agents for collaborating smart solar-powered micro-grids. In, pages 125-133.[More][Digital version]
