The Linked Data Fragment (LDF) approach promotes a new trade-off between performance and data availability for querying Linked Data. If data providers' HTTP caches plays a crucial role in LDF performances, LDF clients are also caching data during SPARQL query processing. Unfortunately, as these clients do not collaborate, they cannot take advantage of this large decentralized cache hosted by clients. In this paper, we propose CyCLaDEs an overlay network based on LDF fragments similarity. For each LDF client, CyCLaDEs builds a neighborhood of LDF clients hosting related fragments in their cache. During query processing, neighborhood cache is checked before requesting LDF server. Experimental results show that CyCLaDEs is able to handle a significant amount of LDF query processing and provide a more specialized cache on client-side. ' ?book' http://www.w3.org/1999/02/22-rdf-syntax-ns#type
Clients of Triple Pattern Fragments (TPF) interfaces demonstrate how a SPARQL query engine can run within a browser and re-balance the load from the server to the clients. Imagine connecting these browsers using a browser-to-browser connection, sharing bandwidth and CPU. This builds a fog of browsers where end-user devices collaborate to process SPARQL queries over TPF servers. In this demo, we present Ladda: a framework for query execution in a fog of browsers. Thanks to client-side inter-query parallelism, Ladda reduces the makespan of the workload and improves the overall throughput of the system.
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