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Virtual Machine (VM) sizing refers to the process of selecting the appropriate configuration of computing resources—such as CPU, memory (RAM), storage, and network capacity—for a virtual machine to ensure that applications and workloads run efficiently, reliably, and cost-effectively. In cloud computing and IoT environments, VM sizing is particularly important because workloads can vary significantly depending on the number of connected devices, data processing requirements, latency constraints, and scalability needs. Proper VM sizing ensures optimal performance without over-provisioning resources, which would increase costs, or under-provisioning, which could lead to performance degradation and service failures. Since cloud platforms provide flexible resource allocation, VM sizing becomes a continuous process involving planning, monitoring, and adjustment based on workload demands. In the context of IoT systems, VM sizing plays a critical role because IoT applications typically involve large volumes of data generated from sensors, devices, and edge nodes. These workloads may include data ingestion, real-time analytics, machine learning inference, and storage management. Each ____ _________ _____ __________ ___ _______ ___ _________ ____.
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