This paper describes an online control framework to design self-managing distributed
computing systems that continually optimize their performance in response to changing …

Traditionally, network and system management are manually controlled processes. It usually
takes one or more human operators to manage all aspects of a dynamically evolving …

The increasing heterogeneity, dynamism and uncertainty of emerging DCE (Distributed
Computing Environment) systems imply that an application must be able to detect and adapt …

It is obvious that big, complex enterprise systems are hard to manage. What is not obvious is
how to make them more manageable. Although there is a growing body of research into …

The management costs of software systems are becoming the dominating cost factor in
running IT infrastructures. The main driving force behind this development is the ever …

As the complexity of computing systems increases, application programmers must be
experts in their application domain and have the systems knowledge required to address the …

Autonomic computing has received a great deal of attention from the research community in
recent years. Many techniques have been proposed to monitor, analyze, and change the …

Distributed applications are notoriously difficult to develop and manage due to their inherent
dynamics and heterogeneity of component technologies and network protocols. Middleware …

This paper develops a scalable online optimization framework for the autonomic
performance management of distributed computing systems operating in a dynamic …

Self-management is considered as one of the crucial means for software systems to deal
with changing demands at runtime. Self-management endows a software systems with the …