What is the time complexity of an algorithm if implemented with two nested loops to iterate over all elements?

When there is a shortage of resources for processing requests with delay, the following solutions can be applied:

• Scaling: add computing resources (horizontal or vertical scaling).
• Queues and buffering: use message queues (e.g., Kafka, RabbitMQ) to smooth out peak loads.
• Caching: store results of frequent requests to reduce load on computations.
• Code and model optimization: improve algorithms, reduce complexity, use faster models.
• Asynchronous processing: process requests in the background, returning responses later.
• Prioritization: process important requests first, defer less critical ones.
• Load distribution: balance requests across multiple servers.

The choice depends on the specific situation, but combining these approaches usually yields the best result.