Can you provide a diagram of the architecture? I'm having a hard time
visualizing high-performance servers being wired up by a database.

The DHT is just meant to be a storage mechanism, right? If so, why/how is
it wiring up servers? Seems like something is missing in this picture.

On Sun, Jul 19, 2020 at 1:35 PM Linas Vepstas <[email protected]>
wrote:

>
> As a "distributed atomspace" is a commonly recurring request, I thought I
> should put together yet-another distributed atomspace variant. This one is
> very super-simple: easy to use, and has a tiny implementation (500 lines of
> code).
>
> Easy-to-use: Take a look at the two examples, here:
> https://github.com/opencog/atomspace-cog/tree/master/examples
>
> These examples use exactly the same API as the 3-4 other distributed
> atomspace backends. Some comments about those.
>
> * The Postgres SQL backend. It's part of the core AtomSpace code, provided
> by default. Large, complex, bullet-proof, production-ready. Kind-of slow:
> there's a lot of overhead.
>
> * The IPFS backend. Sounds great, right? I tried a very very naive
> implementation, and it's surprisingly terrible. Turns out IPFS is actually
> "centralized" not "decentralized": to get anything done, one must build an
> index, that index must fit into just one file. Whoops. So clearly, my naive
> design is the wrong way to go. The code "works" (passes unit tests) but is
> disappointing. https://github.com/opencog/atomspace-ipfs
>
> * The OpenDHT backend. Taking the lessons learned above, I ported the same
> naive implementation to OpenDHT. So, DHT stands for "Distributed Hash
> Table", in this case Kademlia, the same one as in bittorrent and ethereum
> and gnunet and many others. Much better, but revealed a different flaw in
> my naive thinking. Two problems, harder to explain. Problem #1: an Atom,
> sitting in OpenDHT, is just taking up RAM, thus competing for RAM with any
> local AtomSpace. Problem #2: the hash used by DHT's completely randomizes
> Atoms. So even if they are close to one-another, e.g. (List (Concept "a")
> (Concept "b")) -- these three atoms - the two concepts and the list, will
> end up on different servers on opposite sides of the planet. The DHT
> hashing algo has no clue about the locality-of-reference that we want for
> the atomspace.  Again, this code "works" (passes unit tests) but is
> disappointing. https://github.com/opencog/atomspace-dht
>
> * So what's the right design? Well, it seems that the best bet would be to
> use OpenDHT to store AtomSpace indexes, but do the actual serving of atoms
> by "seeders". And so this is why I wrote this super-simple cogserver-based
> distributed atomspace.  The hope is to use it as a "seeder"
> https://github.com/opencog/atomspace-cog/
>
> Future plans: I'm hoping that someone interested can build a
> high-performance server/seeder, based on the prototype here. (really -- 500
> LOC is very simple, very easy to understand, and thus easy to improve
> upon.) This does NOT require any special skills: if you have basic coding
> skills, maybe some experience with network i/o, or are willing to explore,
> it should be possible to build a high-performance variation thereof. So all
> those people saying "I'm just an ordinary coder, how can I help?" well --
> here's your chance.
>
> A more difficult, more conceptual task would be how to wire up a bunch of
> these servers using the OpenDHT/Kademlia infrastructure.  I think this is
> possible, but it's more cerebral, and  requires thinking-work.
>
> --linas
>
> --
> Verbogeny is one of the pleasurettes of a creatific thinkerizer.
>         --Peter da Silva
>
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