Il concetto del "ma" e la musica di Tōru Takemitsu: traduzione di "The concept of 'ma' and the music of Takemitsu" di Jonathan L. Chenette

Lo scopo di questa tesi è di esplorare l'importanza del concetto giapponese del "ma" nella musica tradizionale, in particolare in quella del compositore Tōru Takemitsu, tramite la traduzione del saggio "The concept of 'ma' and the music of Tōru Takemitsu" (Jonathan L. Chenette, 1982) dall'inglese all'italiano. L'elaborato partirà da un'introduzione generale sul concetto del "ma" nella mentalità giapponese, per proseguire con la biografia di Tōru Takemitsu e una panoramica dei motivi che hanno portato a scegliere la traduzione del saggio di Chenette. Dopo la traduzione in sé e per sé e il commento della stessa, sarà anche fornito in appendice un glossario inglese-italiano della terminologia musicale utilizzata dall'autore all'interno del saggio.

Design and implementation of an anonymous peer-to-peer iaas cloud

Cloud services are becoming ever more important for everyone's life. Cloud storage? Web mails? Yes, we don't need to be working in big IT companies to be surrounded by cloud services. Another thing that's growing in importance, or at least that should be considered ever more important, is the concept of privacy. The more we rely on services of which we know close to nothing about, the more we should be worried about our privacy. In this work, I will analyze a prototype software based on a peer to peer architecture for the offering of cloud services, to see if it's possible to make it completely anonymous, meaning that not only the users using it will be anonymous, but also the Peers composing it will not know the real identity of each others. To make it possible, I will make use of anonymizing networks like Tor. I will start by studying the state of art of Cloud Computing, by looking at some real example, followed by analyzing the architecture of the prototype, trying to expose the differences between its distributed nature and the somehow centralized solutions offered by the famous vendors. After that, I will get as deep as possible into the working principle of the anonymizing networks, because they are not something that can just be 'applied' mindlessly. Some de-anonymizing techniques are very subtle so things must be studied carefully. I will then implement the required changes, and test the new anonymized prototype to see how its performances differ from those of the standard one. The prototype will be run on many machines, orchestrated by a tester script that will automatically start, stop and do all the required API calls. As to where to find all these machines, I will make use of Amazon EC2 cloud services and their on-demand instances.