Title :
A two-stage load balancing method for HLA simulation system on cloud simulation platform
Author :
Peng Ding ; Xiao Song ; Wen Shi ; Feng Zhou ; Shaoyun Zhang
Author_Institution :
Aviation Key Lab. for Adv. Simulation Technol., Beihang Univ., Beijing, China
Abstract :
Cloud simulation makes contribution to simulation system by providing on-demand, everywhere simulation services. Load Balancing is a fatal issue for Cloud simulation for the reason that an overloaded node may cause slowdown of the whole system. To acquire high performance of Cloud simulation, this paper proposes a two-stage load balancing method. The first stage aims to virtual machine (VM) load balancing by using a heuristic algorithm to allocate Federates to VMs before the simulation start. In the second stage, the VMs are dynamically migrated between physical machines (PMs) to keep the load balancing of PMs during the simulation. Experiments show that the two-stage load balancing method can significantly improve the efficiency of the HLA system on Cloud simulation platform (CSP).
Keywords :
cloud computing; resource allocation; virtual machines; CSP; HLA simulation system; VM load balancing; cloud simulation platform; federate allocation; heuristic algorithm; physical machine load balancing; two-stage load balancing method; virtual machine load balancing; Algorithm design and analysis; Computational modeling; Heuristic algorithms; Load management; Load modeling; Resource management; Virtual machining; Cloud Simulation Platform; HLA; heuristic algorithm; load balancing; virtual machine;
Conference_Titel :
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4799-4700-3
DOI :
10.1109/CGNCC.2014.7007513