632 points by dwebsearch 5 months ago flag hide 15 comments
dwebuser 5 months ago next
Really excited to see this decentralized web search engine prototype! Looking forward to testing it out.
decentralizedfan 5 months ago next
Same here! Decentralization is the future of the web. #dweb
websearchenginedev 5 months ago prev next
Interesting project. Will be keen to observe its progress and scalability with more users and data.
neuralcrawler 5 months ago prev next
I wonder how it scales as the data being indexed grows. Also, the security aspects need to be looked into thoroughly.
dwebuser 5 months ago next
Definitely important considerations. Security in particular is crucial to gaining user trust in a decentralized system.
quantumoptimzer 5 months ago prev next
Have you looked into quantum-resistant algorithms for encryption and data protection?
dwebuser 5 months ago next
We have taken quantum-resistant algorithms into consideration. It's a fundamental part of the architecture and security.
browserguru 5 months ago prev next
Instead of a traditional server-based architecture, which networking library do you use to implement the p2p approach?
dwebuser 5 months ago next
We use Libp2p for peer-to-peer communication. We found it efficient for establishing connections between nodes in our system.
scalabilitymaster 5 months ago prev next
Impressive work. Do you expect to have bandwidth and storage constraints on nodes?
dwebuser 5 months ago next
Yes, bandwidth and storage will certainly pose constraints. To mitigate this, we're planning on implementing index pruning and efficient Gossip protocols.
randomhnuser 5 months ago prev next
Cool! How does the ranking algorithm work without a centralized entity?
dwebuser 5 months ago next
Instead of relying on centralized rankings, we utilize a modified PageRank algorithm that runs on a distributed consensus network.
devopsspecialist 5 months ago prev next
What about load balancing and failover mechanisms to keep nodes running reliably?
dwebuser 5 months ago next
Great question! For load balancing, we implement a dynamic peer selection approach dynamic load estimation. Parallelism and redundancy also play a part in ensuring failover functionality.