Support infrastructures for multimedia services with guaranteed continuity and QoS

Advances in wireless networking and content delivery systems are enabling new challenging provisioning scenarios where a growing number of users access multimedia services, e.g., audio/video streaming, while moving among different points of attachment to the Internet, possibly with different connectivity technologies, e.g., Wi-Fi, Bluetooth, and cellular 3G. That calls for novel middlewares capable of dynamically personalizing service provisioning to the characteristics of client environments, in particular to discontinuities in wireless resource availability due to handoffs. This dissertation proposes a novel middleware solution, called MUM, that performs effective and context-aware handoff management to transparently avoid service interruptions during both horizontal and vertical handoffs. To achieve the goal, MUM exploits the full visibility of wireless connections available in client localities and their handoff implementations (handoff awareness), of service quality requirements and handoff-related quality degradations (QoS awareness), and of network topology and resources available in current/future localities (location awareness). The design and implementation of the all main MUM components along with extensive on the field trials of the realized middleware architecture confirmed the validity of the proposed full context-aware handoff management approach. In particular, the reported experimental results demonstrate that MUM can effectively maintain service continuity for a wide range of different multimedia services by exploiting handoff prediction mechanisms, adaptive buffering and pre-fetching techniques, and proactive re-addressing/re-binding.

Nuove pratiche turistiche e sostenibilita'. I profili del turista lento in Valnerina

Il presente lavoro intende analizzare il tema del turista lento che nell’ultimo decennio si è diffuso nel dibattito scientifico e culturale connesso al tema della sostenibilità e della qualità della vita e nel contesto dell’approccio teorico strutturato intorno alle nuove tendenze dello Slow Tourism. In una prima parte la tesi delinea il framework della sostenibilità con particolare attenzione al recente dibattito in corso sulla “decrescita” e l’“a-crescita” come concetti alternativi al paradigma della crescita. Successivamente viene evidenziato il modo in cui le idee di base ed i principi dello sviluppo sostenibile sono stati applicati al turismo e indagato il legame tra sostenibilità e responsabilità e come questo configura l’emergere di un turismo “responsustable”. In tale contesto viene analizzata la relazione tra turismo e lentezza in cui a filosofia slow non deve essere interpretata come un fenomeno del momento o un innovativo prodotto turistico, ma come una filosofia di vita, un movimento sociale e globale che negli ultimi anni ha caratterizzato i diversi ambiti socio-economici delle comunità locali. Successivamente attraverso una review della letteratura nazionale ed internazionale sul tema, la pluralità di prospettive teoriche vengono sistematizzate in tre ipotesi di lettura riconducibili a tre paradigmi: sostenibilità- slow tourism- territorio; benessere – slow tourism – qualità della vita; esperienza – slow tourism – consumo. Nella seconda parte del lavoro viene presentata l’indagine empirica a partire dall’analisi di contesto del territorio in cui si è svolta l’attività di ricerca, i nove comuni del Comprensorio Turistico della Valnerina in Umbria, con particolare riferimento all’analisi dell’offerta e della domanda turistica. Successivamente sono presentati i risultati di un questionario somministrato a 620 turisti attraverso il quale viene analizzato il profilo motivazionale, le esperienze di fruizione turistica e la percezione della qualità territoriale da parte del turista e delineato il profilo del turista slow in Valnerina.

Quality of Service in Distributed Stream Processing for large scale Smart Pervasive Environments

The wide diffusion of cheap, small, and portable sensors integrated in an unprecedented large variety of devices and the availability of almost ubiquitous Internet connectivity make it possible to collect an unprecedented amount of real time information about the environment we live in. These data streams, if properly and timely analyzed, can be exploited to build new intelligent and pervasive services that have the potential of improving people's quality of life in a variety of cross concerning domains such as entertainment, health-care, or energy management. The large heterogeneity of application domains, however, calls for a middleware-level infrastructure that can effectively support their different quality requirements. In this thesis we study the challenges related to the provisioning of differentiated quality-of-service (QoS) during the processing of data streams produced in pervasive environments. We analyze the trade-offs between guaranteed quality, cost, and scalability in streams distribution and processing by surveying existing state-of-the-art solutions and identifying and exploring their weaknesses. We propose an original model for QoS-centric distributed stream processing in data centers and we present Quasit, its prototype implementation offering a scalable and extensible platform that can be used by researchers to implement and validate novel QoS-enforcement mechanisms. To support our study, we also explore an original class of weaker quality guarantees that can reduce costs when application semantics do not require strict quality enforcement. We validate the effectiveness of this idea in a practical use-case scenario that investigates partial fault-tolerance policies in stream processing by performing a large experimental study on the prototype of our novel LAAR dynamic replication technique. Our modeling, prototyping, and experimental work demonstrates that, by providing data distribution and processing middleware with application-level knowledge of the different quality requirements associated to different pervasive data flows, it is possible to improve system scalability while reducing costs.