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Fog Computing has emerged as a virtual platform extending Cloud services down to the network edge especially (and not exclusively) to host IoT applications. Data replication strategies have been designed to investigate the best storage location of data copies in geo-distributed storage systems in order to reduce its access time for different consumer services spread over the infrastructure. Unfortunately, due to the geographical distance between Fog nodes, misplacing data in such an infrastructure may generate high latencies when accessing or synchronizing replicas, thus degrading the Quality of Service (QoS). In this paper, we present two strategies to manage IoT data replication and consistency in Fog infrastructures. Our strategies choose for each datum, the right replica number and their location in order to reduce data access latency and replicas synchronization cost. This is done while respecting the required consistency

International audience—Internet Service Providers furnishing cloud storage services usually rely on big data centers. These centralized architectures induce many drawbacks in terms of scalability, reliability, and high access latency as data centers are single points of failure and are not necessarily located close to the users. This paper introduces Mistore, a distributed storage system aiming at guaranteeing data availability, durability, low access latency by leveraging the Digital Subscriber Line infrastructure of an ISP. Mistore uses the available storage resources of a large number of home gateways and points of presence for content storage and caching facilities reducing the role of the data center to a load balancer. Mistore also targets data consistency by providing multiple types of consistency criteria on content and a versioning system allowing users to get access to any prior versions of their contents. Mistore validation has been achieved through extensive simulation

To cite this version:Abstract-Internet Service Providers (ISP) furnishing cloud storage services usually rely on big data centers. These centralized architectures induce many drawbacks in terms of scalability and reliability as datacenters represent single points of failure, and in terms of data access latencies as they are not necessarily located close to the users. This paper presents the design choices about a distributed storage system that targets these issues by leveraging only high available nodes in the Digital Subscriber Line (xDSL) infrastructure of an ISP, namely a large number of home gateways, Points of Presence, and datacenters.

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