Analyzing the reliability of communication between software entities using a 3D visualization of clustered graphs

Zeckzer, Dirk; Kalcklösch, Robert; Schröder, Lukas; Hagen, Hans; Klein, Tijmen

doi:10.1145/1409720.1409728

Cited by 9 publications

(5 citation statements)

References 18 publications

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“…PVaniM-GTW extended PVaniM by providing refined views to middleware level, called the visualization of Parallel Discrete Events Simulation (PDES). Works from other groups were carried out long after PVaniM and PVaniM-GTW, on communications between parallel processes and data storage servers [19][20][21][22] and intermodule communications [23] such as client server relationships. Their work goes much deeper and aims at more specific problems in cluster computing environment.…”

Section: Visualization Of Computing Clustermentioning

confidence: 99%

An online visualization system for streaming log data of computing clusters

Xia

Guo

et al. 2013

Tinshhua Sci. Technol.

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Monitoring a computing cluster requires collecting and understanding log data generated at the core, computer, and cluster levels at run time. Visualizing the log data of a computing cluster is a challenging problem due to the complexity of the underlying dataset: it is streaming, hierarchical, heterogeneous, and multi-sourced. This paper presents an integrated visualization system that employs a two-stage streaming process mode. Prior to the visual display of the multi-sourced information, the data generated from the clusters is gathered, cleaned, and modeled within a data processor. The visualization supported by a visual computing processor consists of a set of multivariate and time variant visualization techniques, including time sequence chart, treemap, and parallel coordinates. Novel techniques to illustrate the time tendency and abnormal status are also introduced. We demonstrate the effectiveness and scalability of the proposed system framework on a commodity cloud-computing platform.

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Section: Visualization Of Computing Clustermentioning

confidence: 99%

An online visualization system for streaming log data of computing clusters

Xia

Guo

et al. 2013

Tinshhua Sci. Technol.

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“…The communications between parallel processes and data storage servers have been researched through the analysis of access patterns [29,39,40]. Communication between software modules, such as clientserver relationships, has also been analyzed through the use of graph-based visualizations [41]. These visual approaches are effective at analyzing network traffic, but do not provide insight into computation efficiency in a massively parallel computation environment.…”

Section: Related Visualization Workmentioning

confidence: 99%

Visual analysis of I/O system behavior for high-end computing

Muelder

Sigovan

et al. 2011

Proceedings of the Third International Workshop on Large-Scale System and Application Performance

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As supercomputers grow ever larger, so too do application run times and data requirements. The operational patterns of modern parallel I/O systems are far too complex to allow for a direct analysis of their trace logs. Several visualization methods have therefore been developed to address this issue. Traditional, direct visualizations of parallel systems, such as Gantt charts, can be applied to parallel file systems, but do they not capture domain specific properties nor scale up to modern systems. We propose a portable I/O tracing system and visualization methods to analyze the traces we have obtained. We demonstrate the effectiveness of this system on existing parallel storage systems.

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“…A good overview of system diagnosis models can be found in [2]. With respect to the visualization and applicable tools, an overview is presented in [20].…”

Section: Related Workmentioning

confidence: 99%

“…The output is analyzed using an interactive visualization (see Fig. 5 and [20]). In this visualization color coding is used to characterize the "faultiness" of components with respect to communication relations.…”

Section: Fault Detection In Distributed Systemsmentioning

confidence: 99%

Visualization of Software and Systems as Support Mechanism for Integrated Software Project Control

Liggesmeyer

Heidrich

Münch

et al. 2009

Human-Computer Interaction. New Trends

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Many software development organizations still lack support for obtaining intellectual control over their software development processes and for determining the performance of their processes and the quality of the produced products. Systematic support for detecting and reacting to critical process and product states in order to achieve planned goals is usually missing. One means to institutionalize measurement on the basis of explicit models is the development and establishment of a so-called Software Project Control Center (SPCC) for systematic quality assurance and management support. An SPCC is comparable to a control room, which is a well known term in the mechanical production domain. One crucial task of an SPCC is the systematic visualization of measurement data in order to provide context-, purpose-, and role-oriented information for all stakeholders (e.g., project managers, quality assurance managers, developers) during the execution of a software development project. The article will present an overview of SPCC concepts, a concrete instantiation that supports goal-oriented data visualization, as well as examples and experiences from practical applications.

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Analyzing the reliability of communication between software entities using a 3D visualization of clustered graphs

Cited by 9 publications

References 18 publications

An online visualization system for streaming log data of computing clusters

An online visualization system for streaming log data of computing clusters

Visual analysis of I/O system behavior for high-end computing

Visualization of Software and Systems as Support Mechanism for Integrated Software Project Control

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