Abstract. While existing work concentrates on developing QoS models of business workflows and Web services, few tools have been developed to support the monitoring and performance analysis of scientific workflows in Grids. This paper describes novel Grid services for dynamic instrumentation of Grid-based applications, performance monitoring and analysis of Grid scientific workflows. We describe a Grid dynamic instrumentation service that provides a widely accessible interface for other services and users to conduct the dynamic instrumentation of Grid applications during the runtime. We introduce a Grid performance analysis service for Grid scientific workflows. The analysis service utilizes various types of data including workflow graphs, m...
Deposited with permission of the author. © 2007 Dr. Jia YuGrid computing has emerged as a global cy...
This paper presents an application monitoring infrastructure developed within the CrossGrid project....
<p>Today, large-scale scientific applications are both data driven and distributed. To support the s...
Abstract. While existing work concentrates on developing QoS models of business workflows and Web se...
Abstract. The execution of scientific workflows in Grids can imply complex interactions among variou...
Grid workflows are executed on diverse resources whose interactions are highly complicated and hardl...
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. The complexity and the dynamics of the Grid environment and of the emering workflow-based ...
Scientific workflows are a means of conducting in silico experiments in modern computing infrastruct...
Scientific workflows are a means of conducting in silico experiments in modern computing infrastruct...
This paper describes SCALEA-G, a unified monitoring and performance analysis system for the Grid. SC...
To understand the performance of Grid workflows, performance analysis tools have to select, measure ...
To understand the performance of Grid workflows, performance analysis tools have to select, measure ...
Abstract. This paper describes SCALEA-G, a unified monitoring and performance analysis system for th...
Deposited with permission of the author. © 2007 Dr. Jia YuGrid computing has emerged as a global cy...
This paper presents an application monitoring infrastructure developed within the CrossGrid project....
<p>Today, large-scale scientific applications are both data driven and distributed. To support the s...
Abstract. While existing work concentrates on developing QoS models of business workflows and Web se...
Abstract. The execution of scientific workflows in Grids can imply complex interactions among variou...
Grid workflows are executed on diverse resources whose interactions are highly complicated and hardl...
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. The complexity and the dynamics of the Grid environment and of the emering workflow-based ...
Scientific workflows are a means of conducting in silico experiments in modern computing infrastruct...
Scientific workflows are a means of conducting in silico experiments in modern computing infrastruct...
This paper describes SCALEA-G, a unified monitoring and performance analysis system for the Grid. SC...
To understand the performance of Grid workflows, performance analysis tools have to select, measure ...
To understand the performance of Grid workflows, performance analysis tools have to select, measure ...
Abstract. This paper describes SCALEA-G, a unified monitoring and performance analysis system for th...
Deposited with permission of the author. © 2007 Dr. Jia YuGrid computing has emerged as a global cy...
This paper presents an application monitoring infrastructure developed within the CrossGrid project....
<p>Today, large-scale scientific applications are both data driven and distributed. To support the s...