Stating expected sum of memory volume using HM-networks in server information storage and processing systems
The object of the research is probabilistic model of network for estimate total amounts of memory in server information storage and processing systems. In the article the problem of forecasting the data-centers storage volume which are used to store users’ personal information is analyzed. Working with data presupposes the ability to change amount of provided initially disk space and to carry out a simple set of operations with data. To solve aforementioned problem the use of HM-networks with polytypic clams in which each clams have random value is introduced by the author. The model with two types of claims, each of which relates to a certain type of user requests is considered. The total volume of claims changes when multitype claims enter the network system or move between them. It is stated there is the connection between income network system and total volume of claims in information networks and it allows to evaluate the economic feasibility of operation of network. The subject of research is the method of finding the total amount of memory in the data storage and processing system. The aim of the investigation is finding total volume of memory in models of information systems and networks. The conditional probabilities of events which have relation with transitions of claims between systems of network are described in the article. The model example is specified. The graphs of the total volume of claims are represented.