Rashid G. Alakbarov

Work place: Institute of Information Technology of ANAS, Baku, Azerbaijan

E-mail: rashid@iit.ab.az


Research Interests: Computational Learning Theory, Computer Networks, Data Structures and Algorithms, Models of Computation


Rashid G. Alakbarov graduated from “Automation and Computer Engineering” faculty of Azerbaijan Polytechnic University named after C.Ildirim. He received his PhD degree in 2006 from Supreme Attestation Commission under the President of the Republic of Azerbaijan. His primary research interests include various areas in cloud computing, data processing, computer networks, virtual computing, particularly in the area of distributed computing.

He is head of department at the Institute of Information Technology as of 2002. Since 2010, he has been leading the development of "AzScienceNet" infrastructure. In 2011, he was appointed a senior engineer of the institute by the decision of the Presidium of Azerbaijan National Academy of Sciences. He is the author of 41 scientific papers, including 5 inventions.

Author Articles
Development of the Model of Dynamic Storage Distribution in Data Processing Centers

By Rashid G. Alakbarov Fahrad H. Pashaev Mammad A. Hashimov

DOI: https://doi.org/10.5815/ijitcs.2015.05.03, Pub. Date: 8 Apr. 2015

The paper reviews dynamic distribution of storage resources among the users in data processing centers. The process of changing memory usage state was revealed to be the process of Markov. The paper proposes the development of stochastic model of the memory and computing usage distribution and the development of probability density functions over practical data. Parameters of probability density functions were defined with the help of stochastic model and practical data. The calculation of the developed model and the parameters of the probability density function is realized dynamically during the ongoing process. At the beginning of each time interval, it is forecasted that the process will be shifted to which state with which maximum probability. The adequacy of the previous forecasts is monitored. Note that, over the time, the quality of the forecast and the level of adequacy increases. The model is used in the virtualization of storage resources usage process and ensures the use of storage resources without wasting. Structure of visualization base is given. The base enables to monitor all stages of the process. Using monitoring base the issues can be resolved to analyze different aspects of the process. Recommendations are given on the use of obtained results.

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