Benvenuti nell'Anagrafe della Ricerca d'Ateneo
La valutazione delle attività di ricerca che si svolgono nelle università ha assunto un'importanza rilevante sia per l'intero sistema universitario sia all'interno di ogni singolo ateneo. Roma Tre si è quindi dotata di idonei strumenti informativi in grado di supportare al meglio le azioni di monitoraggio e di valutazione delle attività di ricerca svolte nei propri dipartimentied ha realizzato una Anagrafe della Ricerca di Ateneo.
EnglishArchitecting software systems according to the service-oriented paradigm, and designing runtime self-adaptable systems are two relevant research areas in today’s software engineering. In this chapter we present MOSES, a software platform supporting QoS-driven adaptation of service-oriented systems. It has been conceived for service-oriented systems architected as composite services that receive requests generated by different classes of users. MOSES integrates within a unified framework different adaptation mechanisms. In this way it achieves a greater flexibility in facing various operating environments and the possibly conflicting QoS requirements of several concurrent users. Besides providing its own self-adaptation functionalities, MOSES lends itself to the experimentation of alternative approaches to QoS-driven adaptation of service-oriented systems thanks to its modular architecture.
Cardellini, V., Casalicchio, E., Grassi, V., Iannucci, S., Lo Presti, F., & Mirandola, R. (2017). MOSES: A platform for experimenting with qos-driven self-adaptation policies for service oriented systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 409-433). Springer Verlag [10.1007/978-3-319-74183-3_14].
| Titolo: | MOSES: A platform for experimenting with qos-driven self-adaptation policies for service oriented systems | |
| Autori: | ||
| Data di pubblicazione: | 2017 | |
| Serie: | ||
| Citazione: | Cardellini, V., Casalicchio, E., Grassi, V., Iannucci, S., Lo Presti, F., & Mirandola, R. (2017). MOSES: A platform for experimenting with qos-driven self-adaptation policies for service oriented systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 409-433). Springer Verlag [10.1007/978-3-319-74183-3_14]. | |
| Handle: | http://hdl.handle.net/11590/404607 | |
| ISBN: | 978-3-319-74182-6 | |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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