Investigation of the load prediction methods in computer and computer systems
The problem of process and resource management in large scale computer systems with thousands of components is important 
 and has not been solved yet. Thus, a user has to determine the amount of resources needed for a computer system in advance and distribute 
 parallel program fragments to achieve a desired acceleration effect and minimize resource usage. However, even for simple paralleling logic 
 problems such a static planning strategy results in average resource utilization is no more than 15–20 %.
 The paper is devoted to the problem of computing system load level forecasting to create adaptive methods and algorithms for resource 
 dynamic management and optimization algorithms. The paper presents the data of an experimental investigation of predicting workload of 
 processors. It is based on various filtration methods of high-frequency signal which is processes assessable workload. The results show that 
 among well known filters the median filters are the most precise. The results are used for the development of adaptive algorithms intended 
 for resources optimization, in particular, for allocation of processor resources in computers and large computer systems.