El simposio internacional de computación distribuida (International Symposium on DIStributed Computing - DISC) es un foro internacional sobre la teoría, el diseño, el análisis, la implementación y la aplicación de sistemas y redes distribuidas. Está organizado en cooperación con la Asociación Europea de Informática Teórica (EATCS - European Association for Theoretical Computer Science). Este congreso, en colaboración con el simposio de ACM sobre principios de computación distribuida (PODC-ACM Symposium on Principles of Distributed Computing), otorga anualmente el prestigioso galardón Edsger W. Dijkstra Prize in Distributed Computing y el premio a la mejor disertación en computación distribuida (The Dissertation Award in Distributed Computing).

Traditionally, the vehicle has been the extension of the man’s ambulatory system, docile to the driver’s commands. Recent advances in communications, controls and embedded systems have changed this model, paving the way to the Intelligent Vehicle Grid.

This is a Branded event organized for NOTRE project in collaboration with DataBeers. Following the DataBeers format, the event will feature six presentations focused on data usage in a social context and/or social sciences. 

Radio-frequency based wireless communications have revolutionized our society. Thanks to important wireless communication technologies such as Wi-Fi, LTE, and so on, people can enjoy high data rate and pervasive connections while surfing the Internet. 

With peta-bytes of data that are continuously collected about various aspects of the Internet, how hard can it be to obtain an accurate picture of its traffic, its physical topology (i.e., router-level Internet), its logical overlays (e.g., the Web, online social networks), or its “dark” sides and associated activities (i.e. cyber crimes)?

Social scientist have traditionally had limited access to data about individuals, like their personality, relationships or tastes. The widespread use of Online Social Networks (OSNs) has changed this drastically, since OSNs provide huge amounts of data to work with. 

The Internet depends on economic relationships between ASes (Autonomous Systems), which come in different shapes and sizes - transit, content, and access networks. CDNs (Content delivery networks) are also a pivotal part of the Internet ecosystem and construct their overlays for faster content delivery. 

The talk will present concepts and basics of distributed computing which are important (at least from the presenter's point of view!), and should be known and mastered by researchers, and Master students. Those include: (a) a characterization of distributed computing (which is too much often confused with parallel computing); (b) the notion of a synchronous system and its associated notions of a local algorithm and message adversaries; (c) the notion of an asynchronous shared memory system and its associated notions of universality and progress conditions; and (d) the notion of an asynchronous message-passing system with its associated broadcast and agreement abstractions, its impossibility results, and approaches to circumvent them. Hence, the talk can be seen as a guided tour to key elements that constitute basics of distributed computing.

Understanding complex physical systems requires knowledge of the interactions among their constituents, in order to be able to predict emergent behaviors (i.e., of the system as a whole).

The main themes of the talk are the optimization of mobile crowd-sensing and recommender system platforms from the point of view of the system designer. In the first part of the talk, we first discuss optimization of mobile crowd-sensing campaigns in terms of total expected quality for a set of tasks to be accomplished, and in terms of compensation cost to task contributors.