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Kieker is an extensible framework for monitoring and analyzing the runtime behavior of concurrent or distributed software systems. It provides measurement probes for application performance monitoring and control-flow tracing. Analysis plugins extract and visualize architectural models, augmented by quantitative observations. Configurable readers and(More)
—Architectural runtime reconfiguration is a promising means for controlling the quality of service (QoS) of distributed software systems. Particularly self-adaptation approaches rely on runtime reconfiguration capabilities provided by the systems under control. For example, our online capacity management approach SLAstic employs changing component(More)
— In addition to studying the construction and evolution of software services, the software engineering discipline needs to address the operation of continuously running software services. A requirement for its robust operation are means for effective monitoring of software runtime behavior. In contrast to profiling for construction activities, monitoring(More)
• Provides services (i.e., use cases) through a Web Server • E.g, " Sign On " , " Add Item To Cart " , and " Purchase " • Web protocols like HTTP • Service invocation made up by ≥ 1 lower-level (HTTP) requests • Users alternate between (ON/OFF model by Barford and Crovella (1998)) 1 Submitting requests and 2 Waiting for a response (+ " thinking ")
Manual failure diagnosis in large-scale software systems is time-consuming and error-prone. Automatic failure diagnosis support mechanisms can potentially narrow down, or even localize faults within a very short time which both helps to preserve system availability. A large class of automatic failure diagnosis approaches consists of two steps: 1)(More)
Autonomic computing components and services require continuous monitoring capabilities for collecting and analyzing data of runtime behavior. Particularly for software systems, a trade-off between monitoring coverage and performance overhead is necessary. In this paper, we propose an approach for localizing performance anomalies in software systems(More)
Today, software systems are more and more executed in dynamic, virtualized environments. These environments host diverse applications of different parties, sharing the underlying resources. The goal of this resource sharing is to utilize resources efficiently while ensuring that quality-of-service requirements are continuously satisfied. In such scenarios,(More)
DevOps is a trend towards a tighter integration between development (Dev) and operations (Ops) teams. The need for such an integration is driven by the requirement to continuously adapt enterprise applications (EAs) to changes in the business environment. As of today, DevOps concepts have been primarily introduced to ensure a constant flow of features and(More)
—Our project DynaMod addresses model-driven modernization of software systems. Key characteristics of the envisioned approach are: (1) combining static and dynamic analysis for extracting models of a legacy system's architecture and usage profile; (2) augmenting these models with information that is relevant to the subsequent architecture-based(More)