Abstract
I/O performance is an important factor in virtualization technology. However, the hypervisor and the scheduler brings impact on the I/O performance, since the scheduler considers I/O-intensive Virtual Machine (VM) and CPU-intensive VM as the same VM which results in scheduling latency. Most researches address this I/O problem but they do not take dynamic workload into consideration, leaving the facts that their solutions do not work well when the workload is volatile.
In this paper, we present a Dynamic time Slice Scheduler (DaSS) as a software solution which brings a significant improvement on the I/O performance. In order to maintain good flexibility and availability, DaSS requires no modification on the Guest OS but only a few changes on the VMM. We implement the prototype on Xen 4.3.0 and conduct detailed evaluations on network benchmarks. Our experimental results show that DaSS increases I/O throughput by nearly 40 %.
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Acknowledgement
This work was supported by 863 Program of China (No. 2012AA010905); The National Natural Science Foundation of China (No. 61272100, 61202374); NRF Singapore under its CREATE Program (E2S2).
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Ma, R., Li, J., Lin, L., Guan, H. (2015). DaSS: Dynamic Time Slice Scheduler for Virtual Machine Monitor. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9528. Springer, Cham. https://doi.org/10.1007/978-3-319-27119-4_6
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DOI: https://doi.org/10.1007/978-3-319-27119-4_6
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