Effective scheduling method of the cloud system of collective access to virtual working environments

L V Legashev; I P Bolodurina

Computer Science and Information Technologies, Computer Science and Information Technologies 2017

L V Legashev, I P Bolodurina

Last modified: 2018-02-14

Abstract

This paper describes the cloud system of collective access (CSCA) to virtual working environments as a means of providing an economically profitable remote access to paid and free software for educational institutions of secondary education. The problem of efficient CSCA scheduling to optimize the usage of cloud virtual machines and software licenses has been studied in details. The mathematical model of CSCA is presented. The UML class diagram of CSCA simulator is described. The statistical analysis of fitness function value distribution is performed.

Keywords

cloud systems; virtual working enwironments;

References

1. Shukhman A.E., Bolodurina I.P., Polezhaev P.N., Ushakov Yu.A., Legashev L.V. “Creation of regional center for shared access to educational software based on cloud technology” In: Selected Papers of the XI International Scientific-Practical Conference Modern Information Technologies and IT-Education SITITO-2016, 2016, pp. 180-188.

2. Eaves A., Stockman M. “Desktop as a service proof of concept”. In: Proc. of the 13th annual conference on Information technology education (SIGITE-12), 2012, pp.85-86.

3. Brucker P. “Scheduling Algorithms”, Springer, Berlin, 2007.

4. Hu J., Gu J., Sun G., Zhao T. “A scheduling strategy on load balancing of virtual machine resources in cloud computing environment” In: Parallel Architectures, Algorithms and Programming (PAAP), 2010 Third International Symposium on, 2010, pp. 89-96.

5. Wang B., Xing H. “The application of cloud computing in education informatization”. In: Proc. of International Conference on Computer Science and Service System (CSSS), 2011, pp. 2673-2676. IEEE.

6. Kostenetskiy P.S., Semenov A.I., Sokolinsky A.I. “Creation of educational platform “Personal Virtual Computer” based on cloud computations”. In: Proc. of the Int. Supercomputer Conference, 2011, pp. 374-377.

7. Bolodurina I.P., Legashev L.V., Polezhaev P.N., Shukhman A.E., Ushakov Yu.A. “Request generation and intelligent scheduling for cloud educational resource datacentre”. In: Proc. of 8th Int. Conf. on Intelligent Systems, 2016, pp.747-752.

8. Pearson K. “On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling”. Philosophical Magazine Series, 1900; 157-175.

9. Grubbs F. “Procedures for Detecting Outlying Observations in Samples”. Technometrics, 1969; 11: 1-21.

10. Ruxton G.D. “The unequal variance t-test is an underused alternative to Student's t-test and the Mann–Whitney U test”. Behavioral Ecology, 2006; 17: 688-690.

Full Text: PDF (English)