TROBADOR: Service Discovery for Distributed Community Network Micro-Clouds

Selimi, Mennan; Freitag, Félix; Centelles, Roger Pueyo; Moll, Agustí; Veiga, Luís

doi:10.1109/aina.2015.248

Cited by 10 publications

(8 citation statements)

References 18 publications

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“…This framework integrates the resources contributed by community network members to the cloud. We materialise this framework by the implementation of the Cloudy distribution [8][9][10]. With the Cloudy contribution, we aspire to encourage community network users to join and participate, ultimately creating an ecosystem of services.…”

Section: Introductionmentioning

confidence: 99%

Cloud services in the Guifi.net community network

et al. 2015

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Internet and communication technologies have lowered the costs to collaborate for communities, leading to new services like user-generated content and social computing and, through collaboration, collectively built infrastructures, such as community networks. Community networks are formed when individuals and local organisations from a geographic area team up to create and run a community-owned IP network to satisfy the community's demand for ICT. Internet access is often considered the main service of community networks, but the provision of services of local interest within the network is a unique opportunity for community networks, which is currently predominantly unexplored. The consolidation of today's cloud technologies offers community networks the possibility to collectively build community clouds, building upon user-provided networks, and extending towards an ecosystem of cloud services. We propose a framework for building a collaborative distributed community cloud system that employs resources contributed by the members of the community network for provisioning infrastructure and software services. This framework is tailored to the specific social, economic, and technical characteristics of community networks and requirements for community clouds in order to be successful and sustainable. We materialise this framework in the implementation of the Cloudy distribution. We conduct real deployments of these clouds in the Guifi.net community network and evaluate cloud-based applications such as service discovery and distributed storage. This deployment experience supports the feasibility of community clouds and our measurements demonstrate the performance of services and applications running in these community clouds. Our results encourage the development and operation of collaborative cloud-based services using the resources of a community network. We anticipate that such services can effectively complement commercial offers and have the potential to boost innovation in application areas in which end-user involvement is required.

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Section: Introductionmentioning

confidence: 99%

Cloud services in the Guifi.net community network

et al. 2015

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“…We experimented with Avahi and Tinc service discovery system [23] that automatically publishes available services from a cloud provider to all the other users in the multi-cloud, since an important aspect of the multi-cloud environment is the announcement of cloud services and resources to the users. From the social perspective of the network, good communication between service providers and consumers will result in better engagement and usage dynamics.…”

Section: Need For Decision Support Systemmentioning

confidence: 99%

On Supporting Service Selection for Collaborative Multi-cloud Ecosystems in Community Networks

Khan

Freitag

Gupta

et al. 2015

2015 IEEE 29th International Conference on Advanced Information Networking and Applications

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Internet and communication technologies have lowered the costs for communities to collaborate, leading to new services and collectively built infrastructures like community networks. Community networks get formed when individuals and local organisations from a geographic area team up to create and run a community-owned IP network to satisfy the community's demand for ICT, such as facilitating Internet access and providing services of local interest. To address the limitation and enhance utility of community networks, we deploy collaborative clouds in community networks that allow interesting applications to be developed for serving local needs of communities. Such collaborative clouds employ resources contributed by the members of the community network for provisioning infrastructure and software services, and adapt to the specific social, economic and technical characteristics of the community networks. We need to support mechanisms that provide assistance in cloud service selection while taking into account different aspects pertaining to associated risks in community clouds, quality concerns of the users and cost limitations specifically in multi-clouds ecosystems. This paper proposes a risk-cost-quality based decision support system to assist the community cloud users to select the most appropriate cloud services meeting their needs. The proposed framework not only increases the ease of adoption of community clouds by providing assistance to users in cloud service selection, but also provides insights into the improvement of community clouds based on user behaviour.

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“…To ensure a satisfactory user experience, each application was carefully tested and some were tweaked (e.g., PeerStreamer) before becoming part of the pre-installed applications of the Cloudy software stack [55]. Assessments were done for Tahoe-LAFS [56], PeerStreamer [57], and the search service [58]. The evaluations included the deployment of the applications under realistic conditions on several nodes in the CN, considering the relevant metrics affecting the user experience in each case (e.g., read times in the case of Tahoe-LAFS, video chunk losses in the case of PeerStreamer, and service discovery effectiveness in the case of the search service).…”

Section: Community Cloud Application Servicesmentioning

confidence: 99%