SCANDEX: Service centric networking for challenged decentralised networks

Do-It-Yourself (DIY) networks are decentralised networks built by an (often) amateur community. As DIY networks do not rely on the need for backhaul Internet connectivity, these networks are mostly a mix of both offine and online networks. Although DIY networks have their own home- grown services, the current Internet-based cloud services are often useful, and access to some services could be beneficial to the community. Considering that most DIY networks have challenged Internet connectivity, migrating current ser- vice virtualisation instances could face great challenges. Ser- vice Centric Networking (SCN) has been recently proposed as a potential solution to managing services more efficiently using Information Centric Networking (ICN) principles. In this position paper, we present our arguments for the need for a resilient SCN architecture, propose a strawman SCN architecture that combines multiple transmission technolo- gies for providing resilient SCN in challenged DIY networks and, finally, identify key challenges that need to be explored further to realise the full potential of our architecture.The work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 645124.This is the accepted manuscript of a paper published in the Proceedings of the 2015 Workshop on Do-it-yourself Networking (Sathiaseelan A, Wang L, Aucinas A, Tyson G, Crowcroft J, Proceedings of the 2015 Workshop on Do-it-yourself Networking: an Interdisciplinary Approach, 2015, 15-20, doi:10.1145/2753488.2753490). The final version is available at http://dx.doi.org/10.1145/2753488.275349

EmotionSense: A mobile phones based adaptive platform for experimental social psychology research

Today's mobile phones represent a rich and powerful computing platform, given their sensing, processing and communication capabilities. Phones are also part of the everyday life of billions of people, and therefore represent an exceptionally suitable tool for conducting social and psychological experiments in an unobtrusive way. de the ability of sensing individual emotions as well as activities, verbal and proximity interactions among members of social groups. Moreover, the system is programmable by means of a declarative language that can be used to express adaptive rules to improve power saving. We evaluate a system prototype on Nokia Symbian phones by means of several small-scale experiments aimed at testing performance in terms of accuracy and power consumption. Finally, we present the results of real deployment where we study participants emotions and interactions. We cross-validate our measurements with the results obtained through questionnaires filled by the users, and the results presented in social psychological studies using traditional methods. In particular, we show how speakers and participants' emotions can be automatically detected by means of classifiers running locally on off-the-shelf mobile phones, and how speaking and interactions can be correlated with activity and location measures. © 2010 ACM