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This paper describes an operational geographically distributed and heterogeneous cloudinfrastructure with services and applications deployed in the Guifi community network. The presentedcloud is a particular case of a community cloud, developed according to the specific needs and conditions of community networks. We describe the concept of this community cloud, explain our technical choices for building it, and our experience with the deployment of this cloud. We review our solutions and experience on offering the different service models of cloud computing (IaaS, PaaS and SaaS) in community networks. The deployed cloud infrastructure aims to provide stable and attractive cloud services in order to encourage community network user to use, keep and extend it with new services and applications., QC 20160119, CLOMMUNITY

This paper describes an operational geographically distributed and heterogeneous cloud infrastructure with services and applications deployed in the Guifi community network. The presented cloud is a particular case of a community cloud, developed according to the specific needs and conditions of community networks. We describe the concept of this community cloud, explain our technical choices for building it, and our experience with the deployment of this cloud. We review our solutions and experience on offering the different service models of cloud computing (IaaS, PaaS and SaaS) in community networks. The deployed cloud infrastructure aims to provide stable and attractive cloud services in order to encourage community network user to use, keep and extend it with new services and applications., Peer Reviewed, Postprint (author's final draft)

The Internet of Things (IoT) allows users to gather data from the physical environment. While sensors in public spaces are already widely used, users are reluctant to deploy sensors for shared data at their homes. The deployment of IoT nodes at the users premises presents privacy issues regarding who can access to their data once it is sent to the Cloud which the users cannot control. In this paper we present an energy-efficient and low cost solution for environmental monitoring at the users home. Our system is built completely with open source components and is easy to reproduce. We leverage the infrastructure and trust of a community network to store and control the access to the monitored data. We tested our solution during several months on different low-capacity single board computers (SBC) and it showed to be stable. Our results suggest that this solution could become a permanently running service in SBCs at the users homes., Peer Reviewed, Postprint (author's final draft)

The identification of TVWS is fundamental to raise awareness about the existence of spectrum that is currently underutilized and that could be used to alleviate the current spectrum crunch. Recent standards that employ Cognitive Radio such as WRAN or White-Fi can then be employed for the exploitation of these frequencies. The traditional tools used to detect TVWS are expensive and difficult to master. The utilization of open hardware, software and an energy based detection method that helps detect these TVWS is developed and presented to assess the radio electric spectrum in the UHF band from 500 MHz to 686 MHz in the Pichincha province of Ecuador, South America.

Community networking is an emerging model of a shared communication infrastructure in which communities of citizens build and own open networks. Community networks offer successfully IP-based networking to the user. Cloud computing infrastructures however, while common in today's Internet, hardy exist in community networks. We explain our approach to bring clouds into the Guifi.net community network. For this we have started integrating part of our cloud prototype into the Guifi.net community network management tools. A proof-of-concept cloud infrastructure is currently under deployment in the Guifi.net community network. Our long term vision is that the users of community networks will not need to consume cloud applications from the Internet, but find them within the community network., Peer Reviewed, Postprint (published version)

802.11 Wi-Fi technology is commonly used for creating wireless networks with a range of about one hundred meters. With careful planning and proper antennas, this same equipment can be used to make point-to-point links of hundreds of kilometers. This paper presents a successful 279 km link made by wireless experts in Venezuela, and a permanent 133 km test network in northern Italy for ongoing research., QC 20101207

In this paper we describe the process that brought us to setup a 162 km wireless link in Malawi: the first experiments in Venezuela and Italy, the equipment selection and the link deployment in August 2008. The network connects the University of Malawi College of Medicine in Blantyre with with the Mangochi Hospital as well as hospitals and research institutions in the cities of Blantyre, Zomba and Mangochi. We show that long-distance Wi-Fi links can be a practical, inexpensive alternative for providing network connectivity and access to the Internet in Developing Countries., QC 20101207

Community networking is an emerging model of a shared communication infrastructure in which communities of citizens build and own open networks. Community networks offer successfully IP-based networking to the user. Cloud computing infrastructures however, while common in today's Internet, hardy exist in community networks. We explain our approach to bring clouds into the Guifi.net community network. For this we have started integrating part of our cloud prototype into the Guifi.net community network management tools. A proof-of-concept cloud infrastructure is currently under deployment in the Guifi.net community network. Our long term vision is that the users of community networks will not need to consume cloud applications from the Internet, but find them within the community network., Peer Reviewed, Postprint (published version)