Load Balancing Strategy Based on Stochastic Theory
- Resource Type
- Conference
- Authors
- Guo, Ruifeng; Li, Youkang; Wang, Hongliang; Xiu, Pengfei; Liu, Yunjiang
- Source
- 2022 IEEE 8th International Conference on Computer and Communications (ICCC) Computer and Communications (ICCC), 2022 IEEE 8th International Conference on. :569-573 Dec, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Scheduling algorithms
Stochastic processes
Big Data
Load management
Prediction algorithms
Scheduling
Resource management
load balancing
stochastic theory
simulation test
- Language
In order to further improve the load balancing strategy, this paper summarizes and designs a load balancing method based on random selection. By introducing the Balls into Bins problem into the load balancing strategy, random selection is used to reduce the time spent in the allocation process. And batch selection is used to reduce the possibility of overloading nodes. The result shows that these methods algorithm can get a better task allocation method in as short a time as possible.