In order to solve imbalance issues of used resources of substrate network
which are brought by virtual net-work joining and leaving dynamically
forecast-based resource reconfiguration algorithm(FRRA) for network virtualiza-tion environment was proposed.Algorithm FRRA took full advantage of known information to calculate interval of re-configuration and used this interval to replace the periodic time span in previous algorithms.In order to make reconfigu-ration time global optimal
it took two measures:resources were divided into critcal resources and general resources
and different algorithms were used to key resources and common resources respectively;according to the probability that re-source migration was failure
the limit number of reconfiguration requests was deduced.FRRA algorithm with VNA-II algorithm and PMPA algorithm in the experiments was compared.The results show that algorithm FRRA reduces recon-figuration cost 69% than that of VNA-II and 42% than that of PMPA.Algorithm FRRA improves VN request reception rate 29% than that of VNA-II and 52% than that of PMPA.
Resource allocation algorithms in the reconfigurable network based on network centrality and topology potential
Joint power and spectrum optimization algorithm for ICV in diverse service scenarios
Multi-indicator intention-driven adaptive optimization strategy for UAV computation offloading and trajectory planning
Resource allocation strategy for satellite Internet integrating communication and remote sensing based on resource-time-varying graphs
Joint optimization of semantic communication reliability in integrated sensing, communication and computing networks based on regional perception
Related Author
Zi-hou WANG
Yan-ni HAN
Tao LIN
Yue-mei XU
Hui TANG
Zhang Haibo
Hu Yuting
Hu Yanli
Related Institution
High Performance Network Laboratory,Institute of Acoustics,Chinese Academy of Sciences
School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications
Gele Mountain Tourism Scenic Area Affairs Center
School of Automation, Chongqing University of Posts and Telecommunications
Key Laboratory of Intelligent Support Technology for Complex Environments, Ministry of Education, Nanjing University of Information Science and Technology