Session details: First International Workshop on Monitoring in Large-Scale Software Systems (MoLS'17)

Rick Rabiser, Michael Vierhauser, Sam Guinea, W. Hasselbring
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Abstract

It is our great pleasure to welcome you to MoLS 2017, the First International Workshop on Monitoring in Large-Scale Software Systems. MoLS 2017 aims to explore and explicate the current state, ongoing work and open issues regarding monitoring in large-scale software systems. We also want to support the transfer of knowledge between different disciplines and domains working on this topic. Large-scale, heterogeneous software systems – e.g., cyber-physical systems, cloud-based systems, or service-based systems – are ubiquitous in many domains. Such systems’ full behavior emerges only at runtime, when the involved systems interact with each other, hardware, third-party systems, or legacy systems. Thus, engineers are interested in monitoring the overall system, for instance, to verify components’ correct timing or measure performance and resource consumption. The complexity and heterogeneity of large-scale software systems, however, complicates monitoring. Properties need to be checked across the boundaries of multiple constituent systems and heterogeneous, domainspecific technologies need to be instrumented. Also, different types of properties must be checked and systems exist in many different versions and variants. In response to these and other challenges, MoLS 2017 focuses on methods and tools supporting monitoring in large-scale software systems and explores how software systems of realistic complexity can be monitored effectively and efficiently.
会议详情:第一届大型软件系统监控国际研讨会(MoLS'17)
我们非常高兴地欢迎您参加MoLS 2017,第一届大型软件系统监控国际研讨会。MoLS 2017旨在探索和阐明大型软件系统中监控的现状、正在进行的工作和开放的问题。我们还希望支持不同学科和领域之间的知识转移。大规模、异构的软件系统——例如,网络物理系统、基于云的系统或基于服务的系统——在许多领域中无处不在。这样的系统的完整行为仅在运行时出现,当涉及的系统与其他系统、硬件、第三方系统或遗留系统交互时。因此,工程师对监控整个系统感兴趣,例如,验证组件的正确定时或测量性能和资源消耗。然而,大型软件系统的复杂性和异构性使监控变得复杂。需要跨多个组成系统的边界检查属性,并且需要对异构的、特定于领域的技术进行检测。此外,必须检查不同类型的属性,并且系统存在许多不同的版本和变体。为了应对这些挑战和其他挑战,MoLS 2017专注于支持大规模软件系统监控的方法和工具,并探索如何有效和高效地监控现实复杂性的软件系统。
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