Frontiers of Data and Computing ›› 2022, Vol. 4 ›› Issue (6): 13-19.

CSTR: 32002.14.jfdc.CN10-1649/TP.2022.06.002

doi: 10.11871/jfdc.issn.2096-742X.2022.06.002

• Special Issue: East-West Computing Requirement Transfer: A Century Project to Start the Era of Computility Economy • Previous Articles     Next Articles

Analysis of the Impact of Computing Power Services on the Development of Computing Power Economy Under the Background of “ East-West Computing Requirement Transfer”

LI Wei*(),WANG Yumeng,LI Yan,ZHAO Weibo,SU Yue   

  1. Institute of Cloud Computing and Big Data, China Academy of Information and Communications Technology, Beijing 100191, China
  • Received:2022-08-31 Online:2022-12-20 Published:2022-12-20
  • Contact: LI Wei E-mail:liwei3@caict.ac.cn

Abstract:

[Objective] This paper aims to provide valid suggestions for the development of the computing power economy under the background of “East-West Computing Requirement Transfer”. [Methods] Firstly, we study the background and the status of “East-West Computing Requirement Transfer” in depth and conduct interviews and surveys with manufacturers, so that we find the problems that computing power economy is facing. Finally, comprehensive improvement suggestions are made to solve these problems. [Results] Currently, the computing power economy is facing several problems such as the lack of policies and standards, insufficient infrastructure capacity, and unbalanced development among regions. It is necessary to formulate relevant policies, speed up technological explorations, and promote sharing of resources. [Conclusions] With the continuous advancement of the "East-West Computing Requirement Transfer" project, the computing power service will have a stimulative impact on the development of the computing power economy in various aspects. The computing power economy will generate new models and new forms, and promote balanced development of the economy in China’s eastern and western regions.

Key words: East-West Computing Requirement Transfer, computing power economy, computing service, computing network, computing scheduling