INFLUNCES OF GPU CHALLENGES ON CLOUD COMPUTING WITH WEB TECHNOLOGY APPLICATIONS
There have been a growing number of academics and developers who have appeared in recent years, and they have spent a significant amount of their time and attention to researching GPU, as well as the numerous sectors in which it plays an essential and successful function. This is in part due to the immense progress that the world is seeing on a daily basis, which includes a variety of disciplines of study such as medical, engineering, space, and precise sciences that demand high-resolution visual representation and vast graphic processing power. This article acts as a review and provides a condensed description of the development, applications, problems, and related research into GPU across a wide number of various industries. It should not come as a surprise, given all of these benefits, that cloud computing has become the standard practice in its business in such a short length of time. The movement of corporate operations to the cloud, which is being done by a growing number of companies, is being done in an effort to minimize the amount of time spent on infrastructure maintenance. This migration is taking place for the following reasons: As a consequence of this, preserving a cloud environment in such a manner that it continues to operate normally is a tremendously challenging endeavor. If you want to increase cloud performance and minimize the amount of administrative stress you suffer, you need a reliable cloud monitoring solution. The cloud monitoring service is an investment that is well worth making since there is a possibility that it will boost performance and minimize the amount of time that is spent managing. One of the most important roles of cloud monitoring is the management of Quality of Service (QoS) metrics for cloud-hosted, virtualized, and physical services and applications.
GAS model, Graph processing, GPU, Graph, BSP model