How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads

2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) Pub Date : 2023-06-01 DOI:10.1109/DSN58367.2023.00055

Xiaoting Qin, Minghua Ma, Yuheng Zhao, Jue Zhang, Chao Du, Yudong Liu, Anjaly Parayil, Chetan Bansal, S. Rajmohan, Íñigo Goiri, Eli Cortez C. Vilarinho, Si Qin, Qingwei Lin, Dongmei Zhang

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引用次数: 1

Abstract

With the rapid development of cloud systems, an increasing number of service workloads are deployed in the private cloud and/or public cloud. Although large cloud providers such as Azure and Google have published workload traces in the past, prior work has not focused on analyzing and characterizing the differences between private and public cloud workloads in detail. Based on our experience working with Azure, one of the most widely used cloud platforms in the world, we find that the workload characteristics are different between the private and public cloud workloads. Specifically, compared with the public cloud workloads, the private cloud workloads tend to be more homogeneous in both deployment sizes and utilization patterns, more static with occasional bursts in deployment characteristics, and more region-agnostic regarding the sensitivity to deployed regions. Our findings gain several insights and implications on cloud management and motivate us to build a centralized workload knowledge base.

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云工作负载有何不同?描述大规模私有云和公共云工作负载

随着云系统的快速发展，越来越多的业务工作负载部署在私有云和/或公共云上。虽然Azure和Google等大型云提供商过去已经发布了工作负载跟踪，但之前的工作并没有详细分析和描述私有云和公共云工作负载之间的差异。根据我们使用Azure(世界上使用最广泛的云平台之一)的经验，我们发现私有云和公共云工作负载之间的工作负载特征是不同的。具体来说，与公共云工作负载相比，私有云工作负载在部署规模和利用模式上更趋于同质，在部署特征上更静态，偶尔会出现突发情况，并且对部署区域的敏感性更不可知。我们的发现为云管理提供了一些见解和启示，并激励我们构建一个集中的工作负载知识库。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

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