VISUALIZATION OF DATA CENTERS AND OPTIMIZATION OF RESOURCE ALLOCATION IN IT, BY EXTRA INNOVATIVE ALGORITHMS
Increasing demand for storage and computation has driven the growth of large data centers, the massive server farms that run many of todays Internet and business applications. The massive amounts of computation power required to drive these systems results in many challenging and interesting distributed systems and resource management problems. In this thesis I investigate challenges related to data centers, with a particular emphasis on how new virtualization technologies can be used to simplify deployment, improve resource efficiency. A central problem in utility computing is managing the resources to support the varying demand for these applications. We propose a genetic algorithm to find the optimal allocation of virtual environments in a multi-tier distributed data center. We consider that this allocation problem is NP-hard, so we focus on approximate solutions including a genetic algorithm that appears to perform well in finding an approximate solution.
Virtualization Data center Resource allocation Genetic algorithm resource management
MOHAMMAD REZA AHMADI SAEED EBRAHIMI FARZANEH EBRAHIMI
Iran Telecom, Research Center MSc Student of Tehran Research and Science Branch MSc Student of PNU Shahr-e-Rey
国际会议
3rd International Conference on Mechanical and Electrical Technology(ICMET2011) (2011第三届机械与电气技术国际会议)
大连
英文
343-347
2011-08-26（万方平台首次上网日期，不代表论文的发表时间）