作者
Lingfang Zeng, Yang Wang, Wei Shi, Dan Feng
发表日期
2013/12/16
研讨会论文
2013 International Conference on Cloud Computing and Big Data
页码范围
267-274
出版商
IEEE
简介
It has long been recognized that the Credit scheduler favors CPU-bound applications while for the latency-sensitive workloads such as those related to stream-based audio/video services, its performance is far from satisfactory. In this paper we present an improved Credit scheduler in Xen to facilitate such tasks on multicore platforms. To this end, we improve the Credit scheduler from three perspectives. First, given the identified Simultaneous Multi-Boost problem, we minimize the system response time by load balancing the virtual CPUs with the BOOST priority between the cores. Second, we address the Premature Preemption problem by monitoring the received network packets in the driver domain and deliberately preventing it from being prematurely preempted during the packet delivery to further reduce and stabilize the I/O latency. Finally, we optimize the frequency of CPU switch by utilizing time-variant slice …
引用总数
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学术搜索中的文章
L Zeng, Y Wang, W Shi, D Feng - 2013 International Conference on Cloud Computing …, 2013