Abstract: The computing power network integrates computing power resources from multiple regions and levels. In response to the flexible scheduling problem of computing power resources across a wide range and at multiple levels under user differentiated needs, a computing power network resource collaborative scheduling platform is designed. The platform forms a computing power resource scheduling strategy between multiple public and private clouds and a computing network resource collaborative scheduling strategy based on differentiated business needs, to achieve automated and optimal allocation of corresponding resources. At the same time, the platform can automatically discover and manage computing resources, and automatically adjust allocation strategies based on the new resource pool situation, achieving user insensitive business expansion and contraction, thereby flexibly scheduling computing resources.
Keywords: computational power network; collaborative scheduling; micro services; dynamic scaling