Dynamic Performance Optimization for Cloud Computing Using M/M/m Queueing System
Successful development of cloud computing has attracted more and more people and enterprises to use it. On one hand, using cloud computing reduces the cost; on the other hand, using cloud computing improves the efficiency. As the users are largely concerned about the Quality of Services (QoS), perfo...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/756592 |
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| _version_ | 1832549013395603456 |
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| author | Lizheng Guo Tao Yan Shuguang Zhao Changyuan Jiang |
| author_facet | Lizheng Guo Tao Yan Shuguang Zhao Changyuan Jiang |
| author_sort | Lizheng Guo |
| collection | DOAJ |
| description | Successful development of cloud computing has attracted more and more people and enterprises to use it. On one hand, using cloud computing reduces the cost; on the other hand, using cloud computing improves the efficiency. As the users are largely concerned about the Quality of Services (QoS), performance optimization of the cloud computing has become critical to its successful application. In order to optimize the performance of multiple requesters and services in cloud computing, by means of queueing theory, we analyze and conduct the equation of each parameter of the services in the data center. Then, through analyzing the performance parameters of the queueing system, we propose the synthesis optimization mode, function, and strategy. Lastly, we set up the simulation based on the synthesis optimization mode; we also compare and analyze the simulation results to the classical optimization methods (short service time first and first in, first out method), which show that the proposed model can optimize the average wait time, average queue length, and the number of customer. |
| format | Article |
| id | doaj-art-2ab1b3da22f84d57b6aa51f620fe48d5 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-2ab1b3da22f84d57b6aa51f620fe48d52025-02-03T06:12:23ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/756592756592Dynamic Performance Optimization for Cloud Computing Using M/M/m Queueing SystemLizheng Guo0Tao Yan1Shuguang Zhao2Changyuan Jiang3Department of Computer Science and Engineering, Henan University of Urban Construction, Pingdingshan, Henan 467036, ChinaDepartment of Computer Science and Engineering, Henan University of Urban Construction, Pingdingshan, Henan 467036, ChinaCollege of Information Sciences and Technology, Donghua University, Shanghai 201620, ChinaCollege of Information Sciences and Technology, Donghua University, Shanghai 201620, ChinaSuccessful development of cloud computing has attracted more and more people and enterprises to use it. On one hand, using cloud computing reduces the cost; on the other hand, using cloud computing improves the efficiency. As the users are largely concerned about the Quality of Services (QoS), performance optimization of the cloud computing has become critical to its successful application. In order to optimize the performance of multiple requesters and services in cloud computing, by means of queueing theory, we analyze and conduct the equation of each parameter of the services in the data center. Then, through analyzing the performance parameters of the queueing system, we propose the synthesis optimization mode, function, and strategy. Lastly, we set up the simulation based on the synthesis optimization mode; we also compare and analyze the simulation results to the classical optimization methods (short service time first and first in, first out method), which show that the proposed model can optimize the average wait time, average queue length, and the number of customer.http://dx.doi.org/10.1155/2014/756592 |
| spellingShingle | Lizheng Guo Tao Yan Shuguang Zhao Changyuan Jiang Dynamic Performance Optimization for Cloud Computing Using M/M/m Queueing System Journal of Applied Mathematics |
| title | Dynamic Performance Optimization for Cloud Computing Using M/M/m Queueing System |
| title_full | Dynamic Performance Optimization for Cloud Computing Using M/M/m Queueing System |
| title_fullStr | Dynamic Performance Optimization for Cloud Computing Using M/M/m Queueing System |
| title_full_unstemmed | Dynamic Performance Optimization for Cloud Computing Using M/M/m Queueing System |
| title_short | Dynamic Performance Optimization for Cloud Computing Using M/M/m Queueing System |
| title_sort | dynamic performance optimization for cloud computing using m m m queueing system |
| url | http://dx.doi.org/10.1155/2014/756592 |
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