Performance evaluation of a distributed storage service in community network clouds

Community networks are decentralized communication networks built and operated by citizens, for citizens. The consolidation of todays cloud technologies offers now for community networks the possibility to collectively built community clouds, building upon user-provided networks and extending towards cloud services. Cloud storage and in particular secure and reliable cloud storage, could become a key community cloud service to enable end-user applications. In this paper we evaluate in a real deployment the performance of Tahoe-LAFS, a decentralized storage system with provider-independent security that guarantees privacy to the users. We evaluate how the Tahoe-LAFS storage system performs when it is deployed over distributed community cloud nodes in a real community network. Furthermore, we evaluate Tahoe-LAFS in the Microsoft Azure commercial cloud platform, in order to compare and understand the impact of homogeneous network and hardware resources on the performance of the Tahoe-LAFS. We observed that the write operation of Tahoe-LAFS resulted in similar performance when using either the community network cloud or the commercial cloud, but the read operation achieved better performance in the Azure cloud, where the reading from multiple nodes of Tahoe-LAFS benefited from the homogeneity of the network and nodes. Our results suggest that Tahoe-LAFS can run on community network clouds with suitable performance for the needed end-user experience. keywordscommunity network cloud; community networks; cloud storage