QQ客服 官方微博 反馈留言

	Reducing Tail Latency of Interactive Multi-tier Workloads in the Cloud
	Kejiang Ye; Cheng-Zhong Xu
	2018
会议日期	2018
会议地点	英国
英文摘要	Reducing tail latency becomes increasingly important to improve user-perceived service experience. User-facing latency-sensitive cloud applications typically contain multiple interactive tiers running in different virtual machines (VMs) with complex interaction patterns. Consolidation of those applications is a challenge. In this paper we study the consolidation of multi-tier interactive workloads from a new perspective of user-perceived tail latency. We propose a novel profiling-based consolidation methodology. The objective is to satisfy tail latency while reducing the number of physical machines. We consider two key factors that affecting the tail latency of multi-tier workloads: interference with neighboring VMs and interaction between different tiers. We model the consolidation of multi-tier workloads as an optimization problem with different objectives and constraints. We implement and evaluate the proposed models, as well as comparing with other methods (i.e., without profiling or without considering interaction influence). Experimental results show that the proposed method is able to greatly reduce the tail latency compared with the traditional consolidation method.
语种	英语
URL标识	查看原文
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14122]
专题	深圳先进技术研究院_数字所
推荐引用方式 GB/T 7714	Kejiang Ye,Cheng-Zhong Xu. Reducing Tail Latency of Interactive Multi-tier Workloads in the Cloud[C]. 见:. 英国. 2018.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。