Open AccessResearch and Application of a Fast Recovery Strategy for Complex Structure Networks Based on Sorting Multi-objective
Author(s) -
Yijie Dang,
Yunrui He,
Shulin Zhang,
Liang Chen,
Guangxu Liu,
Xiangyi Zhang,
Shuo Bai
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2187/1/012051
Subject(s) - computer science , sorting , complex network , reduction (mathematics) , explosive material , network structure , plan (archaeology) , reliability engineering , distributed computing , engineering , algorithm , mathematics , chemistry , geometry , organic chemistry , archaeology , world wide web , history
With the development of information technology, the scale of data centers and the number of equipment are experiencing explosive growth, and the network structure of data centers has also continued to develop and mature. The more complex network structure increases the possibility of network failures and the difficulty of operation and maintenance. When an unpredictable failure occurs in the network, in order to quickly recover the network, a multi-objective complex structure network rapid recovery strategy is proposed. Under the goal of the shortest failure time, minimum reduction of safety protection, and maximum possible restoration of the original method, a restoration plan is given.