Explain the term Virtual Machine(VM) sizing. Also, compare the Individual VM based sizing with Joint VM based sizing

Virtual Machine (VM) sizing is a crucial process in cloud computing and the Internet of Things (IoT) environments, involving the allocation of appropriate computational resources (such as CPU, memory, storage, and network bandwidth) to a virtual machine. The purpose of VM sizing is to ensure that the virtual machines (VMs) perform optimally by matching the available resources with the application’s requirements while balancing costs. It involves determining the correct size of a VM, meaning selecting the right number of CPU cores, the amount of RAM, and the amount of storage to achieve performance, reliability, and cost efficiency.

When organizations deploy applications in cloud environments, especially in the context of IoT, the computational workload may vary significantly. Hence, selecting the right VM size becomes essential to avoid over-provisioning (which leads to unnecessary costs) or under-provisioning (which leads to degraded performance). Cloud providers offer various VM instances, each with specific resource configurations, allowing users to tailor their environments to meet their specific workload needs.

### Virtual Machine Sizing Process

The VM sizing process involves several key steps:

1. Assessing Workload Requirements: Before choosing a VM size, it is critical to assess the computational, memory, storage, and network needs of the IoT application or service. For IoT applications, this often involves analyzing the expected number of devices, data throughput, processing speed, and storage capacity.

2. Selecting Resource Allocation: Based on the workload requirements, the appropriate number of CPUs, RAM, and storage is selected. The amount of network bandwidth needed for communication between IoT devices and the cloud infrastructure is also considered.

3. Monitoring and Tuning: After deploying the VM, constant monitoring is performed to evaluate the performance of the VM against real-time data. If the VM is over-provisioned, resources are under-utilized, leading to unnecessary costs. If it’s under-provisioned, performance issues such as slow processing or network congestion may ____ __________ ____ _____ _________ ____.
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