scholarly journals Research on resource allocation strategy of data center based on cloud computing

2021 ◽  
Vol 2083 (4) ◽  
pp. 042085
Author(s):  
Shanshan Ji

Abstract With the development of Internet and information technology, cloud computing has attracted extensive attention from industry and academia. The large scale of resources, concurrent execution of multiple tasks and dynamic changes of application resource requests make the resource allocation of data center face severe challenges. To solve the problem of low balance of traditional resource allocation, this paper focuses on the resource allocation optimization of data center, and proposes the resource allocation strategy of data center based on cloud computing, so as to complete the effective resource allocation and assignment. This paper also verifies the designed resource allocation method through example research. The research shows that the distribution balance degree of resource allocation strategy based on cloud computing is significantly higher than the control group, which proves that the designed resource allocation strategy can solve the problem of low balance of traditional resource allocation.

Author(s):  
Danqing Feng ◽  
Zhibo Wu ◽  
Zhan Zhang ◽  
Jinwei Fu

Cloud computing is becoming an urgent technology in the enterprises. One key characteristic in the cloud computing is the elasticity. Then, it is urgent for the users how to rank the renting services reasonably. Considering the main features of the elasticity, this article gives classification on resource optimization. However, one of the major challenges is how to optimize resource allocation in an elastic manner. Due to the special pay-as-you-go manner, resource optimizing strategies are associated with the goal of minimizing the costs on the premise of service-level-agreement (SLA). Another challenge of resource optimizing strategies is to how to dynamically respond to the application demands. In this paper, the authors sketch the elastic definition more clearly. Secondly, different dimensions are described on elastic resource allocations. Thirdly, it is important to seek out the proper resource allocation strategy. Finally, the challenges and conclusions are discussed in this article.


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