Architecting 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].

MOSES: A platform for experimenting with qos-driven self-adaptation policies for service oriented systems

Iannucci S.;
2017

Abstract

Architecting 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.
978-3-319-74182-6
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11590/404607
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