Title :
I/O-intensive scheduling in multiprocessor virtualized system
Author :
Haoxiang Mao ; Bindi Huang
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Virtualization is becoming an important part of cloud computing and high performance calculation. In the virtualized system, the scheduler plays an important role in effecting the performance of whole system. Traditional scheduler that focus on the fairness of VMs would cause problems in I/O performance and latency. In order to eliminate the I/O latency issue, we propose a virtual machine scheduling model based on multiprocessor system. We also implement a prototype in Xen 4.3.0 and evaluate it with several benchmarks. Experiment results demonstrate that our scheduling model can improve the I/O performance effectively. The bandwidth of disk increase by 53.6% and that of network increase by 39.4%. Meanwhile, our method does not change the scheduling algorithm of CPU-intensive VM so that the scheduling fairness is ensured.
Keywords :
cloud computing; input-output programs; multiprocessing systems; processor scheduling; virtual machines; CPU-intensive VM; IO latency issue; IO performance; IO-intensive scheduling; Xen 4.3.0; cloud computing; disk bandwidth; high performance calculation; multiprocessor virtualized system; scheduling fairness; virtual machine scheduling model; Virtual machining; I/O; Virtualization; Xen; scheduling;
Conference_Titel :
Cloud Computing and Internet of Things (CCIOT), 2014 International Conference on
Print_ISBN :
978-1-4799-4765-2
DOI :
10.1109/CCIOT.2014.7062504