A Model of Computational Resources Distribution Among Data Center Users

Alakbarov, Rashid; Pashayev, Fahrad; Hashimov, Mammad

doi:10.25045/jpit.v06.i2.05

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…This requires an extensive development path when it is necessary to increase both the computing power and storage and the bandwidth of communication channels. Within the framework of this architecture, models were also proposed for the rational distribution of computing resources and memory, for example, in [44,45].…”

Section: Proposed Modelmentioning

confidence: 99%

Integration of Cyber-Physical Systems in EScience Environment: State-of-the-Art, Problems and Effective Solutions

Fətəliyev¹,

Mehdiyev²

2019

IJMECS

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The implementation of the concept of building an information society implies a widespread introduction of IT in all areas of modern society, including in the field of science. Here, the further progressive development and deepening of scientific research and connections presuppose a special role of e-science. E-science is closely connected with the innovative potential of IT, including the Internet technologies, the Internet of things, cyber-physical systems, which provide the means and solutions to the problems associated with the collection of scientific data, their storage, processing, and transmission. The integration of cyber-physical systems is accompanied by the exponential growth of scientific data that require professional management, analysis for the acquisition of new knowledge and the qualitative development of science. In the framework of e-science, cloud technologies are now widely used, which represent a centralized infrastructure with its inherent characteristic that is associated with an increase in the number of connected devices and the generation of scientific data. This ultimately leads to a conflict of resources, an increase in processing delay, losses, and the adoption of ineffective decisions. The article is devoted to the analysis of the current state and problems of integration of cyber-physical systems in the environment of e-science and ways to effectively solve key problems. The environment of e-science is considered in the context of a smart city. It presents the possibilities of using the cloud, fog, dew computing, and blockchain technologies, as well as a technological solution for decentralized processing of scientific data.

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Section: Proposed Modelmentioning

confidence: 99%

Integration of Cyber-Physical Systems in EScience Environment: State-of-the-Art, Problems and Effective Solutions

Fətəliyev¹,

Mehdiyev²

2019

IJMECS

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“…One of the key issues to be addressed at this time is the dynamic distribution of computing resources between users and the choice of virtual machines for solving relevant issues. [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Determination Method of Some Operational Characteristics of Information Search System in Directive Document Database

Pashayev¹,

Pashayeva²,

Jafarov³

et al. 2020

IJMSC

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The article provides a method for determining some of the operational characteristics of the information search engine in the Directive document database. During this time the life cycle of the system was studied, the schedule of time dependence of the system interruptions intensity was studied. The article states that although there are many interruptions and malfunctions at the start of operation, they are rapidly decreasing over time, and the interruption during the system's normal operation period is random. During the last wear and breakdown of system operation, the intensity of interruptions begins to increase. It also lists one of the possible structures of information search engine relationships. In practice, the basic structure of medium-sized information search engine relations in directive document databases can be represented in the article. Although the Database is located on a local network, the system may have different sources of information and can be located both on the local network and on the global Internet. Monitoring of information search engine operations is organized on the system server. According to the monitoring results, some operational characteristics of the system are calculated and refined over time. During the monitoring process, various operating characteristics are calculated, starting with the commissioning of the system. This includes the total number of queries, the number of successful and failed surveys, the time intervals between different types of surveys and survey results. such as settings. These parameters calculate the experimental operation characteristics of the information search engine in the directive document database. The calculated characteristics become clearer with time and approach their theoretical estimates. Therefore, it will take some time before the practical results are obtained. However, the results obtained in the article can be used successfully from the start of system operation.

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“…With the help of these services, the efficient use of computing and memory resources in data processing centers is granted. Hence, the time to resolve the problem is reduced, and the network is loaded less [3]. By optimal distribution of memory resources available in processing center among the users, cloud technology attracts more users to the system and creates an opportunity to promptly achieve results.…”

Section: Introductionmentioning

confidence: 99%