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- Title
Application-Aware Resource Allocation Based on Benefit–Cost Ratio in Computing Power Network with Heterogeneous Computing Resources.
- Authors
Wang, Yahui; Li, Yajie; Guo, Jiaxing; Fan, Yingbo; Chen, Ling; Zhang, Boxin; Wang, Wei; Zhao, Yongli; Zhang, Jie
- Abstract
The computing power network (CPN) is expected to realize the efficient provisioning of heterogeneous computing power through the collaboration between cloud computing and edge computing. Heterogeneous computing resources consist of CPU, GPU, and other types of computing power. Different types of applications may have diverse requirements for heterogeneous computing resources, such as general applications, CPU-intensive applications, and GPU-intensive applications. Service providers are concerned about how to dynamically provide heterogeneous computing resources for different applications in a cost-effective manner, and how to deploy more applications as much as possible with limited resources. In this paper, the concept of the benefit–cost ratio (BCR) is proposed to quantify the usage efficiency of CPU and GPU in CPNs. An application-aware resource allocation (AARA) algorithm is designed for processing different types of applications. With massive simulations, we compare the performance of the AARA algorithm with a benchmark. In terms of blocking probability, resource utilization, and BCR, AARA achieves better performance than the benchmark. The simulation results indicate that more computing tasks can be accommodated by reducing 3.7% blocking probability through BCR-based resource allocation.
- Subjects
RESOURCE allocation; HETEROGENEOUS computing; EDGE computing; CLOUD computing
- Publication
Photonics, 2023, Vol 10, Issue 11, p1273
- ISSN
2304-6732
- Publication type
Article
- DOI
10.3390/photonics10111273