Tennis‐resource allocation mechanism in software‐defined data center network

Abstract

With the rapid development of cloud computing, most network resources are usually stored at Data Center Network (DCN) for providing the remote storage services. Under such paradigm, there arises some issues, such as traffic scheduling, energy saving and resource allocation. At present, the resource allocation in DCN has attracted the extensive concern. In order to effectively manage and allocate these resources in DCN, Software‐Defined Networking can be employed to achieve such purpose, by leveraging its natural abilities for the global control and centralized management. Another point, the tennis is a very popular sport to enhance the physical fitness. However, the tennis‐resources are considerably limited as the building of venue is quite expensive. Therefore, it becomes very significant to investigate the tennis‐resource allocation in Software‐Defined DCN (SDCN). Consider that there are many tenants using the tennis‐resources in SDCN, this paper studies the multi‐tenant tennis‐resource allocation scenario. Meanwhile, the Global Superiority Equalization algorithm is devised. At first, the max‐min fairness is used to determine the allocated number of tennis‐resources for each round. Then, the allocation state is adjusted according to the current situation until the final allocation decision is determined. The experiment results show that the proposed tennis‐resource allocation mechanism can reduce the resource allocation cost and improve the resource utilization. Accordingly, SDCN can handle more tennis‐resource requests and increase the benefit of venue provider.