分布式中间件基础设施中管理工具评估的分类方案

F. Karim, Harish Thanneer
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引用次数: 2

摘要

管理工具是软件系统的集成功能,它使外部观察者能够在操作期间监视系统的可用性、性能和可靠性。在对不可用或性能差的系统容忍度非常低的关键任务环境中,它对于采取主动和被动的操作来保持软件系统的运行非常有用。由于与开发、部署和运行时操作相关的各种好处,中间件基础设施组件在分布式软件系统中占据了重要地位。要使这些组件保持高可用性并达到预期的性能,需要集成的功能,这些功能允许在实际业务流程的上下文中定期监视关键功能、度量服务质量(QoS)、调试和故障排除以及运行状况检查。然而,目前还没有一种方法能够系统地评估中间件组件管理工具的相对优势和劣势。在本文中,我们将提出一种评估中间件基础设施组件的管理工具的方法。我们使用基于分类的方案,该方案有一个功能维度称为Capability,两个主要质量维度称为Usability和Precision。我们进一步将每个维度分类为更小、更精确的仪表特征,如跟踪、分布式关联和粒度。在介绍我们的方法时,我们希望实现以下目标:i)教育中间件用户如何使用分类方案系统地评估或比较MidIn组件的总体可管理性;ii)与中间件研究人员分享中间件基础设施中良好的集成可管理性的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Classification Scheme for Evaluating Management Instrumentation in Distributed Middleware Infrastructure
Management instrumentation is an integrated capability of a software system that enables an external observer to monitor the system's availability, performance, and reliability during operation. It is highly useful for taking both proactive and reactive actions to keep a software system operational in mission-critical environments where tolerance for an unavailable or poor-performing system is very low. Middleware infrastructure components have taken important positions in distributed software systems due to various benefits related to the development, deployment, and runtime operations. Keeping these components highly available and up to the expected performance requires integrated capabilities that allow regular monitoring of critical functionality, measurement of Quality of Service (QoS), debugging and troubleshooting, and health-checks in the context of actual business processes.. Yet, currently there is no approach that enables systematic evaluation of the relative strengths and weaknesses of a middleware component's management instrumentation. In this paper, we will present an approach to evaluating management instrumentation of middleware infrastructure components. We use a classification-based scheme that has a functional dimension called Capability and two main quality dimensions called Usability and Precision. We further categorize each dimension into smaller, more precise instrumentation features, such as Tracing, Distributed Correlation and Granularity. In presenting our approach, we hope to achieve the following: i) educate middleware users on how to systematically assess or compare the overall manageability of a MidIn component using the classification scheme, and ii) share with middleware researchers on the importance of good integrated manageability in middleware infrastructure.
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