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

作　　者：Bin-Lei Cai Rong-Qi Zhang Xiao-Bo Zhou Lai-Ping Zhao Ke-Qiu Li 

机构地区：[1]Tianjin Key Laboratory of Advanced Networking, School of Computer Science and Technology, Tianjin University Tianjin 300350, China [2]School of Computer Software, Tianjin University, Tianjin 300350, China

出　　处：《Journal of Computer Science & Technology》2017年第2期250-257,共8页计算机科学技术学报（英文版）

基　　金：This work is supported by the National Key Research and Development Program of China under Grant No. 2016YFB1000205, the National Natural Science Foundation of China under Grant No. 61402325, and the Tianjin City Application Foundation and Cutting- Edge Technology Research Program under Grant No. 14JCQNJC00500.

摘　　要：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.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.

关 键 词：cloud computing software-defined cloud computing （SDC） AVAILABILITY tail-latency 

分 类 号：TP[自动化与计算机技术]