Abstract: A system can obtain a first prompt as output from inputting an alert about a computer system to a first retrieval-augmented generation system (RAG). The system can obtain a first answer as output from inputting the first prompt to a first large language model (LLM). The system can obtain a value maintained by an entity associated with the computing system as output from inputting the alert to a second RAG. The system can obtain a second answer as output from inputting the first answer, the value, and a second prompt to a second LLM, wherein the second LLM comprises the first LLM or another LLM different from the first LLM. The system can obtain a third answer as output from inputting the second answer, user information associated with the entity, and a third prompt to a third LLM. The system can make the third answer available to the entity.

Abstract: A system can obtain a first prompt as output from inputting an alert about a computer system to a first retrieval-augmented generation system (RAG). The system can obtain a first answer as output from inputting the first prompt to a first large language model (LLM). The system can obtain a value maintained by an entity associated with the computing system as output from inputting the alert to a second RAG. The system can obtain a second answer as output from inputting the first answer, the value, and a second prompt to a second LLM, wherein the second LLM comprises the first LLM or another LLM different from the first LLM. The system can obtain a third answer as output from inputting the second answer, user information associated with the entity, and a third prompt to a third LLM. The system can make the third answer available to the entity.

Abstract: A system, method, and computer-readable medium for performing a data center management and monitoring operation. The data center management and monitoring operation includes: receiving utilization information from a plurality of data center assets within a data center; assigning a load index to each of the plurality of data center assets based upon the utilization information; training a machine learning model to generate a predicted load index for each of the plurality of data center assets; and, presenting the predicted load index for each of the plurality of data center assets to a user.

Abstract: A system, method, and computer-readable medium for performing a data center management and monitoring operation. The data center management and monitoring operation includes: receiving utilization information from a plurality of data center assets within a data center; assigning a load index to each of the plurality of data center assets based upon the utilization information; training a machine learning model to generate a predicted load index for each of the plurality of data center assets; and, presenting the predicted load index for each of the plurality of data center assets to a user.

Abstract: Methods and apparatus for providing resource quality estimation in a resource sharing platform having a master and resources on slaves. Embodiments include storing resource performance data for the resources and estimating resource performance using the stored performance data. A framework can use the estimated resource performance data to select between a first resource offer and a second resource offer, which can be equivalent.