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- The hostDescription: The host refers to a physical machine that runs one or more virtual machines. In the context of virtualization, the host provides(...) Read more
- The virtual storageDescription: Virtual storage refers to a storage solution that abstracts physical storage resources, allowing users to manage and access data(...) Read more
- The NestingDescription: Nesting is the practice of placing one structure inside another, commonly used in programming and data structures. This concept(...) Read more
- The horizontal scalingDescription: Horizontal scaling, also known as horizontal scaling, refers to the practice of adding more machines or instances to a system to(...) Read more
- The vertical scalingDescription: Vertical scaling, in the context of cloud autoscaling, refers to the ability to increase the resources of an existing machine or(...) Read more
- The load analysisDescription: Load analysis is the process of examining and evaluating workload patterns in a computing system, especially in cloud environments.(...) Read more
- The Threshold adjustmentDescription: Threshold adjustment in the context of cloud autoscaling refers to the practice of setting specific limits that determine when a(...) Read more
- Traffic adjustmentDescription: Traffic adjustment refers to the ability to modify and optimize cloud computing resources based on the traffic patterns experienced(...) Read more
- The sentiment analysisDescription: Sentiment analysis is a technique that uses natural language processing (NLP) to identify and extract subjective information from(...) Read more
- The time series analysisDescription: Time series analysis is a statistical technique used to examine data flows over time with the aim of identifying patterns, trends,(...) Read more
- the Machine LearningDescription: Machine Learning is a subset of artificial intelligence that allows systems to learn from data and improve over time. It is based(...) Read more
- The hyperparameter tuningDescription: Hyperparameter tuning is the process of optimizing the parameters of a machine learning model to improve its performance on(...) Read more
- The performance analysisDescription: Performance analysis is a critical process in project management and agile methodologies, focusing on evaluating the performance of(...) Read more
- The Models tuningDescription: Model tuning is the process of refining a model to improve its accuracy and effectiveness. In the context of data science, this(...) Read more
- The atherosclerosisDescription: Atherosclerosis is a medical condition characterized by the thickening and hardening of arterial walls, which can lead to decreased(...) Read more