to the desktop device. Video codecs are often embedded on the thin client to support these various multimedia formats. Other host software stacks makes use of User Datagram Protocol (UDP) in order to accelerate fast changing pixel updates required by modern video content. Thin clients typically support local software agents capable of accepting and decoding UDP. Some of the more graphically intense use cases remain a challenge for thin clients. These use cases might include applications like photo editors, 3D drawing programs, and animation tools. This can be addressed at the host server using dedicated GPU cards, allocation of vGPUs (virtual GPU), workstation cards, and hardware acceleration cards. These solutions allow IT administrators to provide power-user performance where it is needed to a relatively generic endpoint device such as a thin client. Limitations To achieve such simplicity, thin clients sometimes lag behind desktop PCs in terms of extensibility. For example, if a local software utility or set of device drivers are needed in order to support a locally attached peripheral device (e.g. printer, scanner, biometric security device), the thin client operating system may lack the resources needed to fully integrate the required dependencies (although dependencies can sometimes be added if they can be identified). Modern thin clients address this limitation via port mapping or USB redirection software. However, these methods cannot address all scenarios. Therefore, it is good practice to perform validation tests of locally attached peripherals in advance to ensure compatibility. Further, in large distributed desktop environments, printers are often networked, negating the need for device drivers on every desktop. While running local productivity applications goes beyond the normal scope of a thin client, it is sometimes needed in rare use cases. License restrictions that apply to thin clients can sometimes prevent them from supporting these applications. Local storage constraints may also limit the space required to install large applications or application suites. It is also important to acknowledge that network bandwidth and performance is more critical in any type of cloud-based computing model. IT organizations must ensure that their network can accommodate the number of users that they need to serve. If demand for bandwidth exceeds network limits, it could result in a major loss of end user productivity. A similar risk exists inside the data center. Servers must be sized correctly in order to deliver adequate performance to end users. In a cloud-based computing model, the servers