> For the complete documentation index, see [llms.txt](https://delysium.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://delysium.gitbook.io/whitepaper/technical-overview/fundamental-layer-ykily-ai-agent-network/infrastructure.md). # Infrastructure As the Delysium network grows and evolves, it's imperative that the infrastructure can handle increasing demands without compromising performance. Scalability is not a core principle in the design of the “YKILY” AI-Agent Network. Here's how the network ensures scalability: **Hotspot Detection and Mitigation:**\ In any large-scale network, certain nodes or connections can become overwhelmed with traffic, leading to what's termed as 'hotspots'. The Delysium network is designed to continuously monitor its infrastructure for such hotspots. Once detected, the network takes immediate corrective action. Moreover, with the integration of AI-based tools, the network can predict potential hotspots based on historical data and preemptively allocate resources, ensuring smooth operations. **Reconfigurability:**\ Flexibility is key to scalability. The Delysium network is not rigid in its structure. When faced with a hotspot or any other issue that might impede performance, the network can dynamically reconfigure its settings. This includes adjusting routing tables, bandwidth controls, and even changing the network topology if required. Such adaptability ensures that the network can handle varying loads efficiently. **Dynamic Endpoint Discovery:**\ As more AI agents join the network, the number of endpoints increases. To ensure that agents can easily find and connect to these endpoints, the network features a Dynamic Endpoint Discovery system. This system, reminiscent of Ethereum's RPC endpoints, allows AI agents to automatically identify and connect to available endpoints, streamlining the process and reducing the time taken for agent-to-agent interactions. \ **Resource Scheduling:**\ Efficient resource management is pivotal for scalability. The Delysium network employs an advanced resource scheduler that oversees the allocation and utilization of resources. Whether it's bandwidth, computational power, or storage, the scheduler ensures that resources are optimally distributed based on current demands, ensuring that no part of the network is overburdened or underutilized. This proactive approach guarantees that the network can handle surges in demand and continue to operate seamlessly. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://delysium.gitbook.io/whitepaper/technical-overview/fundamental-layer-ykily-ai-agent-network/infrastructure.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.