Add to ORKGTo understand the performance of Grid workflows, performance analysis tools have to select, measure and analyze various performance metrics of the workflows. However, there is a lack of a comprehensive study of performance metrics which can be used to evaluate the performance of a workflow executed in the Grid. This paper presents performance metrics that performance monitoring and analysis tools should provide during the evaluation of the performance of Grid workflows. Performance metrics are associated with many levels of abstraction. We introduce an ontology for describing performance data of Grid workflows. We describe how the ontology can be utilized for monitoring and analyzing the performance of Grid workflows. 1
Grid computing promises large scale computing facilities based on distributed systems. Much research...
technologies has a potential to provide a consistent, seamless, and intelligent integration of heter...
Grid middleware development has advanced rapidly over the past few years to support component-based ...
To understand the performance of Grid workflows, performance analysis tools have to select, measure ...
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...
Abstract. In this paper, we propose a new approach to performance analysis, data sharing and tools i...
Abstract. While existing work concentrates on developing QoS models of business workflows and Web se...
Abstract. While existing work concentrates on developing QoS models of business workflows and Web se...
Grid workflows are executed on diverse resources whose interactions are highly complicated and hardl...
Abstract. The execution of scientific workflows in Grids can imply complex interactions among variou...
Grid computing is becoming a common platform for solving large scale computing tasks. However, a num...
Grids are semantically different from other distributed systems. Therefore, performance analysis, ju...
Current implementations of Grid infrastructures provide frameworks which aim at achieve on-demand co...
An important factor that needs to be taken into account by end-users and systems (schedulers, resour...
Grid computing promises large scale computing facilities based on distributed systems. Much research...
technologies has a potential to provide a consistent, seamless, and intelligent integration of heter...
Grid middleware development has advanced rapidly over the past few years to support component-based ...
To understand the performance of Grid workflows, performance analysis tools have to select, measure ...
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...
Abstract. In this paper, we propose a new approach to performance analysis, data sharing and tools i...
Abstract. While existing work concentrates on developing QoS models of business workflows and Web se...
Abstract. While existing work concentrates on developing QoS models of business workflows and Web se...
Grid workflows are executed on diverse resources whose interactions are highly complicated and hardl...
Abstract. The execution of scientific workflows in Grids can imply complex interactions among variou...
Grid computing is becoming a common platform for solving large scale computing tasks. However, a num...
Grids are semantically different from other distributed systems. Therefore, performance analysis, ju...
Current implementations of Grid infrastructures provide frameworks which aim at achieve on-demand co...
An important factor that needs to be taken into account by end-users and systems (schedulers, resour...
Grid computing promises large scale computing facilities based on distributed systems. Much research...
technologies has a potential to provide a consistent, seamless, and intelligent integration of heter...
Grid middleware development has advanced rapidly over the past few years to support component-based ...