Self-organising coordination systems

Many research fields are pushing the engineering of large-scale, mobile, and open systems towards the adoption of techniques inspired by self-organisation: pervasive computing, but also distributed artificial intelligence, multi-agent systems, social networks, peer-topeer and grid architectures exploit adaptive techniques to make global system properties emerge in spite of the unpredictability of interactions and behaviour. Such a trend is visible also in coordination models and languages, whenever a coordination infrastructure needs to cope with managing interactions in highly dynamic and unpredictable environments. As a consequence, self-organisation can be regarded as a feasible metaphor to define a radically new conceptual coordination framework. The resulting framework defines a novel coordination paradigm, called self-organising coordination, based on the idea of spreading coordination media over the network, and charge them with services to manage interactions based on local criteria, resulting in the emergence of desired and fruitful global coordination properties of the system. Features like topology, locality, time-reactiveness, and stochastic behaviour play a key role in both the definition of such a conceptual framework and the consequent development of self-organising coordination services. According to this framework, the thesis presents several self-organising coordination techniques developed during the PhD course, mainly concerning data distribution in tuplespace-based coordination systems. Some of these techniques have been also implemented in ReSpecT, a coordination language for tuple spaces, based on logic tuples and reactions to events occurring in a tuple space. In addition, the key role played by simulation and formal verification has been investigated, leading to analysing how automatic verification techniques like probabilistic model checking can be exploited in order to formally prove the emergence of desired behaviours when dealing with coordination approaches based on self-organisation. To this end, a concrete case study is presented and discussed.

Youth psychosocial adjustment in the context of parental illness: risk and protective factors

Young carers might experience both psychological distress and positive changes from living with their chronically ill parent. However, little is known about why some young carers do well with their situation and experience positive outcomes, whereas others do not. In this regard, this dissertation aims to investigate how parental chronic illness affects young carers’ psychosocial adjustment through risk (i.e., unmet needs) and protective factors (i.e., benefit finding, emotion regulation). This main goal has been addressed by conducting three studies presented in Chapters 2–4. Chapter 2 has examined the mediating role of unmet needs on the relationship between illness unpredictability and youth psychosocial adjustment (i.e., quality of life and internalizing problems). In this regard, it has been found that levels of unmet needs significantly mediated the relationship between illness unpredictability and offspring health-related quality of life. In the systematic review with meta-analysis presented within Chapter 3, it has been sought to investigate the mediating role of the protective factors (i.e., benefit finding and emotion regulation) in the relationship between caregiving components and youth psychosocial adjustment in young carers. This study has shown the significant associations between caregiving components and psychosocial adjustment in young carers not only directly, but also indirectly through protective factors. Finally, to expand on previous findings, a qualitative study in Chapter 4 has examined the unique experiences of young carers, as well as the effects of the COVID-19 global pandemic. This study has yielded a deeper understanding of how protective factors may be operated during young carers’ lived experiences before and during the COVID-19 global pandemic. Overall, this dissertation has shed light on the pivotal role played by risk and protective factors in caregiving components that serve as key determinants that can enhance positive psychosocial outcomes as well as concurrently mitigate adverse psychosocial consequences among young carers.