The cloud computing paradigm has become a mainstream solution for the deployment of
business processes and applications. In the public cloud vision, infrastructure, platform, and …

Researchers working on the planning, scheduling, and execution of scientific workflows
need access to a wide variety of scientific workflows to evaluate the performance of their …

An efficient resource discovery mechanism is one of the fundamental requirements for grid
computing systems, as it aids in resource management and scheduling of applications …

Monitoring is the act of collecting information concerning the characteristics and status of
resources of interest. Monitoring grid resources is a lively research area given the …

We present the ASKALON environment whose goal is to simplify the development and
execution of workflow applications on the Grid. ASKALON is centered around a set of high …

How to build the mutual trust among Grid resources sites is crucial to secure distributed Grid
applications. We suggest enhancing the trust index of resource sites by upgrading their …

We have developed and implemented the Relational Grid Monitoring Architecture (R-GMA)
as part of the DataGrid project, to provide a flexible information and monitoring service for …

Computational science is well established as the third pillar of scientific discovery and is on
par with experimentation and theory. However, as we move closer toward the ability to …

Targeting mostly application performance, distributed systems have constantly increased in
size and computing power of their resources. The power supply requirements of these …

Virtual organizations (VOs), communities that enable coordinated resource sharing among
multiple sites, are becoming more prevalent in the high-performance computing community …