Configuring and Coordinating End-to-end QoS for Emerging Storage Infrastructure

Author:

Gupta Jit1ORCID,Kant Krishna1ORCID,Pal Amitangshu2ORCID,Biswas Joyanta1ORCID

Affiliation:

1. Computer and Information Sciences, Temple University, USA

2. Computer Science and Engineering, Indian Institute of Technology Kanpur, India

Abstract

Modern data center storage systems are invariably networked to allow for consolidation and flexible management of storage. They also include high-performance storage devices based on flash or other emerging technologies, generally accessed through low-latency and high-throughput protocols such as Non-volatile Memory Express (NVMe) (or its derivatives) carried over the network. With the increasing complexity and data-centric nature of the applications, properly configuring the quality of service (QoS) for the storage path has become crucial for ensuring the desired application performance. Such QoS is substantially influenced by the QoS in the network path, in the access protocol, and in the storage device. In this article, we define a new transport-level QoS mechanism for the network segment and demonstrate how it can augment and coordinate with the access-level QoS mechanism defined for NVMe, and a similar QoS mechanism configured in the device. We show that the transport QoS mechanism not only provides the desired QoS to different classes of storage accesses but is also able to protect the access to the shared persistent memory devices located along with the storage but requiring much lower latency than storage. We demonstrate that a proper coordinated configuration of the three QoS’s on the path is crucial to achieve the desired differentiation, depending on where the bottlenecks appear.

Funder

NSF

An Intel grant

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Safety, Risk, Reliability and Quality,Media Technology,Information Systems,Software,Computer Science (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3