As computing technology improves the accessibility to computing resources increases, the
demands put on resources gets higher and higher. A grid is a large-scale, heterogeneous …

The scheduling process in large scale distributed systems (LSDS) became more important
due to increases in the number of users and applications. This paper presents a dynamic …

Autonomic computing is a paradigm that aims at reducing administrative overhead by
providing autonomic managers to make applications self-managing. In order to better deal …

In this paper we investigate the performance that can be achieved by exploiting path
diversity through multipath forwarding together with redundancy through linear network …

Scientific applications from many problem domains produce and/or access large volumes of
data. To support these applications, designers of high-end computing (HEC) systems have …

Deploying and managing distributed applications in dynamic Grid environments requires a
high degree of autonomous management. Programming autonomous management in turn …

In this paper we discuss various control loop patterns for managing distributed applications
with multiple control loops. We introduce a high-level framework, called DCMS, for …

A challenge of Grid computing is to provide automated support for the creation and
exploitation of virtual organisations (VOs), involving individuals and different autonomous …

We describe the overlay services, the execution environment, showing how the challenges
in dynamic environments are met. We also describe the programming model and a high …

Autonomic computing aims at making computing systems self-managing by using autonomic
managers in order to reduce obstacles caused by management complexity. This thesis …