Intelligent Resource Scheduling Based on Locality Principle in Data Center Networks
Weibei Fan, Jing He, Zhijie Han, Peng Li, Ruchuan Wang
Abstract
Cloud computing is developing rapidly and playing an increasingly important role in many fields. Resource management of data center networks (DCNs) is critical to the performance of cloud computing. Due to the large-scale, distributed, and cross-regional characteristics of DCNs, there is insufficient resource utilization. In this article, we discuss the latest developments in the resource management and optimization of DCNs. We also designed an intelligent resource search algorithm to efficiently search excellent resources in massive computing resources. We propose a novel intelligent resource scheduling based on the locality principle algorithm (RSLP). The proposed strategy can search computing resources dynamically and efficiently, and allocate large resources to large tasks efficiently. Furthermore, we outline critical demands and guidance for researchers and designers to achieve the convergence of artificial intelligence and data centers.