Experience Availability: Tail-Latency Oriented Availability in Software-Defined Cloud Computing

Experience Availability: Tail-Latency Oriented Availability in Software-Defined Cloud Computing
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体验可用性:软件定义云计算中面向尾部延迟的可用性

DOI:
10.1007/s11390-017-1719-x
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发表时间:
2017-03
影响因子:
0.7
通讯作者:
Keqiu Li
Keqiu Li
中科院分区:
--
文献类型:
--
作者:
Binlei Cai;Rongqi Zhang;Xiaobo Zhou;Laiping Zhao;Keqiu Li

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云计算中的资源共享、多租户干扰和突发工作负载导致了严重影响用户体验质量(QoE)的高尾部延迟,其中响应延迟是关键因素。许多研究工作致力于减少高尾部延迟和提高用户QoE,例如软件定义的云计算(SDC)。然而,传统的云计算可用性分析捕获的是纯故障修复行为,而忽略了用户QoE。在本文中,我们提出了一个概念框架,经验的可用性,正确评估的有效性,同时考虑到可用性和响应延迟的SDC。本文回顾了云系统可用性模型和方法的相关工作,并讨论了在SDC中评估经验可用性的开放问题。我们还展示了一些我们的初步结果,以证明我们的想法的可行性。
Resource sharing, multi-tenant interference and bursty workloads in cloud computing lead to high tail-latency that severely affects user quality of experience (QoE), where response latency is a critical factor. A lot of research efforts are dedicated to reducing high tail-latency and improving user QoE, such as software-defined cloud computing (SDC). However, the traditional availability analysis of cloud computing captures the pure failure-repair behavior with user QoE ignored. In this paper, we propose a conceptual framework, experience availability, to properly assess the effectiveness of SDC while taking into account both availability and response latency simultaneously. We review the related work on availability models and methods of cloud systems, and discuss open problems for evaluating experience availability in SDC. We also show some of our preliminary results to demonstrate the feasibility of our ideas.
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