Efficient and Balanced Virtualized Resource Allocation Based on Genetic Algorithm in Cloud
| Autor: | Zhang Xiaoqing |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Hot spot (computer programming)
020203 distributed computing Distributed Computing Environment Computer science business.industry Distributed computing Cloud computing 02 engineering and technology computer.software_genre Virtual machine Genetic algorithm 0202 electrical engineering electronic engineering information engineering Task analysis 020201 artificial intelligence & image processing Algorithm design business computer Live migration |
| Zdroj: | ISCID (1) |
| Popis: | Load balance problem has become a research hot spot problem of distributed computing field, whose objective is to ensure that each physical resource is allocated efficiently and fairly. As a typical distributed computing environment, the load balance of resource allocation in cloud computing environment is implemented by the live migration of virtual machines. A virtual machine resource provision genetic algorithm based on load balance, LB-GA is presented. Combined with the advantages of genetic algorithm, the proposed algorithm has an excellent outcome in balance of resource allocation. The simulation experimental results show that LB-GA can not only get fewer virtual machine migration amount, but also can implement load balance of cloud resource allocation. In the end, an application scenario of load balance in cloud computing environment is constructed to demonstrate the importance of our algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|