Performance data is captured periodically from resources and groups of resources in a grid
computing environment and stored in a content-addressable data repository from which it …

The new paradigm of service-oriented computing facilitates easy construction of dynamic,
complex distributed systems. Recent research has shown that machine learning methods …

In this paper, we propose a service composition model method that supports quantitative
computation based on Stochastic Petri Nets (SPN). It can capture the semantics of complex …

In distributed, service-oriented environments, performance problem localization is required
to provide self-healing capabilities and deliver the desired quality of service (QoS). This …

As service-oriented environments grow in size and complexity, managing their performance
becomes increasingly difficult. To assist administrators, autonomic techniques have been …

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Service-oriented systems are large, dynamic, and heterogeneous distributed environments
that can be plagued with performance problems. These problems are becoming increasingly …

In order to make a difference in transaction-oriented distributed environments, performance
management efforts must be focused on those components that play a critical role in end-to …

Problem localization is a critical part of providing crucial system management capabilities to
modern distributed environments. One key open challenge is for problem localization …

In distributed, service-oriented environments, performance problem localization is required
to provide self-healing capabilities and deliver the desired quality of service (QoS). This …