Using simulation to evaluate error detection strategies: A case study of cloud-based deployment processes
文献类型：期刊论文
| 作者 | Chen, J ; Xu, XW ; Osterweil, LJ ; Zhu, LM ; Brun, Y ; Bass, L ; Xiao, JC ; Li, MS ; Wang, Q |
| 刊名 | JOURNAL OF SYSTEMS AND SOFTWARE
 |
| 出版日期 | 2015 |
| 卷号 | 110页码:205-221 |
| 关键词 | Process modeling Simulation Deployment process |
| ISSN号 | 0164-1212 |
| 中文摘要 | The processes for deploying systems in cloud environments can be the basis for studying strategies for detecting and correcting errors committed during complex process execution. These cloud-based processes encompass diverse activities, and entail complex interactions between cloud infrastructure, application software, tools, and humans. Many of these processes, such as those for making release decisions during continuous deployment and troubleshooting in system upgrades, are highly error-prone. Unlike the typically well-tested deployed software systems, these deployment processes are usually neither well understood nor well tested. Errors that occur during such processes may require time-consuming troubleshooting, undoing and redoing steps, and problem fixing. Consequently, these processes should ideally be guided by strategies for detecting errors that consider trade-offs between efficiency and reliability. This paper presents a framework for systematically exploring such trade-offs. To evaluate the framework and illustrate our approach, we use two representative cloud deployment processes: a continuous deployment process and a rolling upgrade process. We augment an existing process modeling language to represent these processes and model errors that may occur during process execution. We use a process-aware discrete-event simulator to evaluate strategies and empirically validate simulation results by comparing them to experiences in a production environment. Our evaluation demonstrates that our approach supports the study of how error-handling strategies affect how much time is taken for task-completion and error-fixing. (c) 2015 Elsevier Inc. All rights reserved. |
| 英文摘要 | The processes for deploying systems in cloud environments can be the basis for studying strategies for detecting and correcting errors committed during complex process execution. These cloud-based processes encompass diverse activities, and entail complex interactions between cloud infrastructure, application software, tools, and humans. Many of these processes, such as those for making release decisions during continuous deployment and troubleshooting in system upgrades, are highly error-prone. Unlike the typically well-tested deployed software systems, these deployment processes are usually neither well understood nor well tested. Errors that occur during such processes may require time-consuming troubleshooting, undoing and redoing steps, and problem fixing. Consequently, these processes should ideally be guided by strategies for detecting errors that consider trade-offs between efficiency and reliability. This paper presents a framework for systematically exploring such trade-offs. To evaluate the framework and illustrate our approach, we use two representative cloud deployment processes: a continuous deployment process and a rolling upgrade process. We augment an existing process modeling language to represent these processes and model errors that may occur during process execution. We use a process-aware discrete-event simulator to evaluate strategies and empirically validate simulation results by comparing them to experiences in a production environment. Our evaluation demonstrates that our approach supports the study of how error-handling strategies affect how much time is taken for task-completion and error-fixing. (c) 2015 Elsevier Inc. All rights reserved. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000364244600012 |
| 公开日期 | 2016-12-13 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/17425]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 推荐引用方式 GB/T 7714 | Chen, J,Xu, XW,Osterweil, LJ,et al. Using simulation to evaluate error detection strategies: A case study of cloud-based deployment processes[J]. JOURNAL OF SYSTEMS AND SOFTWARE,2015,110:205-221. |
| APA | Chen, J.,Xu, XW.,Osterweil, LJ.,Zhu, LM.,Brun, Y.,...&Wang, Q.(2015).Using simulation to evaluate error detection strategies: A case study of cloud-based deployment processes.JOURNAL OF SYSTEMS AND SOFTWARE,110,205-221. |
| MLA | Chen, J,et al."Using simulation to evaluate error detection strategies: A case study of cloud-based deployment processes".JOURNAL OF SYSTEMS AND SOFTWARE 110(2015):205-221. |
入库方式： OAI收割
来源：软件研究所
浏览0
下载0
收藏0
其他版本
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。