It is a well-known fact that the evolution of data storage has been significant in recent years. Even though the performant devices that are currently on the market have a large data storage capacity, some people, most often companies, use data storage services. Most of information that is needed to be stored has a high level of confidentiality, therefore this is one of the main reasons why a lot of companies choose this, alongside the high volume of data that they can't manage. This paper is part of a project that proposes an idea of implementing an Artificial Intelligence algorithm that manages the data which has to be distributed to a number of servers present in a data room. This paper proposes an improved data collection procedure during the initial phase of user behavior network resource allocation. The information that needs to be stored may or may not overload the destination server; the algorithm would detect when a server/router is close to memory insufficiency and provide extra core to the supervised device. The present paper focuses on how customer information will be obtained, resulting in the shift in resources, this being the initial stage in putting the final application/project into action.
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Data Collection and Command Mechanism for Management of Network Resources
Semantic Scholar · Computer Science · 2022
Abstract
It is a well-known fact that the evolution of data storage has been significant in recent years. Even though the performant devices that are currently on the market have a large data storage capacity, some people, most often companies, use data storage services. Most of information that is needed to be stored has a high level of confidentiality, therefore this is one of the main reasons why a lot of companies choose this, alongside the high volume of data that they can't manage. This paper is part of a project that proposes an idea of implementing an Artificial Intelligence algorithm that manages the data which has to be distributed to a number of servers present in a data room. This paper proposes an improved data collection procedure during the initial phase of user behavior network resource allocation. The information that needs to be stored may or may not overload the destination server; the algorithm would detect when a server/router is close to memory insufficiency and provide extra core to the supervised device. The present paper focuses on how customer information will be obtained, resulting in the shift in resources, this being the initial stage in putting the final application/project into action.