Hmmm, I'll check out the paper, but I think the problem with any shared memory is to maintain consistency you have to synchronize and that will drastically reduce scale.
I think eventually consistent, share nothing graph stores with merging/replication (master/master) is the way to go. Ilya On Tue, Sep 7, 2010 at 6:01 AM, Jim Webber <[email protected]> wrote: > Hi Atle, > > I'm thinking along different lines: something like distributed shared memory > with caching (and performant cache invalidation). My old friend Savas > Parastatidis implemented such a scheme around 10 years ago for his PhD, and > I'm starting to think whether it'd be an appropriate approach for Neo too. > > See: www.cs.ncl.ac.uk/research/trs/papers/748.pdf > > Jim > _______________________________________________ > Neo4j mailing list > [email protected] > https://lists.neo4j.org/mailman/listinfo/user > _______________________________________________ Neo4j mailing list [email protected] https://lists.neo4j.org/mailman/listinfo/user
