Over the last few years, several nations around the world have set up Grids to share
resources such as computers, data, and instruments to enable collaborative science …

Experimental computer systems research typically ignores the end-user, modeling him, if at
all, in overly simple ways. We argue that this (1) results in inadequate performance …

A collection of virtual machines (VMs) interconnected with an overlay network with a layer 2
abstraction has proven to be a powerful, unifying abstraction for adaptive distributed and …

Virtual machine based distributed computing greatly simplifies and enhances
adaptive/autonomic computing by lowering the level of abstraction, benefiting both resource …

Most parallel machines, such as clusters, are space-shared in order to isolate batch parallel
applications from each other and optimize their performance. However, this leads to low …

Grids enable sharing, selection and aggregation of computational resources, storage
resources, and scientific instruments belonging to multiple institutions. Scientific …

The optimization problems associated with adaptive and autonomic computing systems are
often difficult to pose well and solve efficiently. A key challenge is that for many applications …

Virtualization has now become ubiquitous, especially in large-scale data centers. Significant
inroads have also be made into high performance computing and adaptive systems, areas …

In large-scale parallel systems scientific workloads consist of numerous processes running
across many nodes. Their memory footprint is massive, however many studies from both our …

Virtual Ethernet overlay provides a powerful model for realizing virtual distributed and
parallel computing systems with strong isolation, portability, and recoverability properties …