Performance evaluation of tape library systems

IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Performance Evaluation Pub Date : 2022-10-01 DOI:10.1016/j.peva.2022.102312
Ilias Iliadis, Linus Jordan, Mark Lantz, Slavisa Sarafijanovic
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引用次数: 0

Abstract

Magnetic tape provides a cost-effective way to retain the exponentially increasing volumes of data being produced. The low cost per gigabyte and the low energy consumption render tape a preferred option over hard disk drives and flash for infrequently accessed data. Assessing the performance of tape library systems is central to achieving appropriate storage provisioning and dimensioning. Performance is affected by the number and the operational characteristics of the tape drives and the robotic arms, and the mount and unmount policies deployed. In this paper, we develop a novel analytical model that accurately captures the principal aspects of tape library operation. Several relevant performance measures including the mean waiting time and the mount/unmount rates are derived. The model provides useful insights into the behavior of the tape libraries and yields results that enable a better understanding of the design tradeoffs. The validity of the model developed is confirmed by demonstrating a good agreement of the predicted performance with that obtained by simulation across various configurations. To mitigate the burden on the robotic mechanism, a scheme of accumulating multiple requests before sending them to the tape library is proposed and studied.

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磁带库系统的性能评估
磁带提供了一种经济有效的方式来保存呈指数增长的数据量。每千兆字节的低成本和低能耗使得磁带比硬盘驱动器和闪存更适合用于不经常访问的数据。评估磁带库系统的性能对于实现适当的存储供应和量纲是至关重要的。性能受磁带驱动器和机械臂的数量和操作特性以及部署的挂载和卸载策略的影响。在本文中,我们开发了一个新的分析模型,准确地捕捉磁带库操作的主要方面。导出了几个相关的性能度量,包括平均等待时间和挂载/卸载率。该模型提供了对磁带库行为的有用见解,并产生了能够更好地理解设计权衡的结果。模型的有效性得到了验证,模型的预测性能与不同配置下的仿真结果非常吻合。为了减轻机器人机构的负担,提出并研究了一种将多个请求累积后再发送到磁带库的方案。
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来源期刊
Performance Evaluation
Performance Evaluation 工程技术-计算机:理论方法
CiteScore
3.10
自引率
0.00%
发文量
20
审稿时长
24 days
期刊介绍: Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science
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