Speedup thin clients with overclocking method for resource intensive tasks

With the development of latest technologies and their usage become wide spread in all areas of the world. Moreover, using large amounts of data and also their applications are sophisticated and thus the technologies lead to consume huge amounts of energy, latency, bandwidth and also throughput. In the case of client server communication, the client is completely depending on their server at computation logic; meanwhile, the application logic is only performed at the client. When the age of thin clients becomes popular in developing countries with the profits of security, reliability, less vulnerability, maintainability and sustainability have been moved to the usefulness of their inevitable good behaviors. Interactive applications can be caused some bottlenecks of performance delay over thin client server network. The safest technique to access the smooth performance is the explanation and reintroduction of overclocking method which can be used efficiently for the system under some special considerations which was not warranted by manufacturer´s rating. As overclocking is not a new method, many researchers have been used it in a variety of application fields and mixed with other resource demand machine learning methods. This paper figures out that thin clients are used with Remote Desktop Protocols connection and the rendering of interactive applications (only used Benchmark apps) on them successfully accomplished by overclocking method.