technologies has a potential to provide a consistent, seamless, and intelligent integration of heterogeneous resources. Using these technologies, we present a new visualization framework which integrates distributed and heterogeneous performance information into system-level visualizations. Most performance visualization tools often are specific to a particular resource at a certain level of the system, possibly with fixed views. Thus, they limit a user's ability to observe a performance problem associated with multiple resources across platforms and semantic levels. Addressing this issue with web services and ontology, the new framework allows resources, at different levels, to be viewed and interacted with in a consistent and coordin...
Computing environments continue to increase in scale, heterogeneity, and hierarchy, with resource us...
Context: Current visualisation systems are not designed to work with the large quantities of data pr...
The visualization of large, remotely located data sets necessitates the development of a distribute...
Abstract. In this paper, we propose a new approach to performance analysis, data sharing and tools i...
Performance visualization comprises techniques that aid developers and analysts in improving the tim...
To understand the performance of Grid workflows, performance analysis tools have to select, measure ...
During the past ten years, performance data visualization techniques have evolved from static, twodi...
Many Grid workflow middleware services require knowledge about the performance behavior of Grid appl...
Many Grid workflow middleware services require knowledge about the performance behavior of Grid appl...
To understand the performance of Grid workflows, performance analysis tools have to select, measure ...
International audienceService oriented systems are highly dynamic systems composed of several web se...
AbstractSeveral techniques and applications have been proposed to aid the decision taking process in...
Grid workflows are executed on diverse resources whose interactions are highly complicated and hardl...
International audienceService oriented architecture is emerging as a powerful paradigm for organizat...
We present a status report on RAVE, our distributed, collaborative grid enabled visualization envi...
Computing environments continue to increase in scale, heterogeneity, and hierarchy, with resource us...
Context: Current visualisation systems are not designed to work with the large quantities of data pr...
The visualization of large, remotely located data sets necessitates the development of a distribute...
Abstract. In this paper, we propose a new approach to performance analysis, data sharing and tools i...
Performance visualization comprises techniques that aid developers and analysts in improving the tim...
To understand the performance of Grid workflows, performance analysis tools have to select, measure ...
During the past ten years, performance data visualization techniques have evolved from static, twodi...
Many Grid workflow middleware services require knowledge about the performance behavior of Grid appl...
Many Grid workflow middleware services require knowledge about the performance behavior of Grid appl...
To understand the performance of Grid workflows, performance analysis tools have to select, measure ...
International audienceService oriented systems are highly dynamic systems composed of several web se...
AbstractSeveral techniques and applications have been proposed to aid the decision taking process in...
Grid workflows are executed on diverse resources whose interactions are highly complicated and hardl...
International audienceService oriented architecture is emerging as a powerful paradigm for organizat...
We present a status report on RAVE, our distributed, collaborative grid enabled visualization envi...
Computing environments continue to increase in scale, heterogeneity, and hierarchy, with resource us...
Context: Current visualisation systems are not designed to work with the large quantities of data pr...
The visualization of large, remotely located data sets necessitates the development of a distribute...