4 research outputs found
Designing a Resource Broker for Heterogeneous Grids
Grids provide uniform access to aggregations of heterogeneous resources and
services such as computers, networks and storage owned by multiple
organizations. However, such a dynamic environment poses many challenges for
application composition and deployment. In this paper, we present the design of
the Gridbus Grid resource broker that allows users to create applications and
specify different objectives through different interfaces without having to
deal with the complexity of Grid infrastructure. We present the unique
requirements that motivated our design and discuss how these provide
flexibility in extending the functionality of the broker to support different
low-level middlewares and user interfaces. We evaluate the broker with
different job profiles and Grid middleware and conclude with the lessons learnt
from our development experience.Comment: 26 pages, 15 figure
Executing large parameter sweep applications on a multi-VO testbed
Applications that span multiple virtual organizations (VOs) are of great interest to the eScience community. However, recent attempts to execute large-scale parameter sweep applications (PSAs) with the Nimrod/G tool have exposed problems in the areas of fault tolerance, data storage and trust management. In response, we have implemented a task-splitting approach, which breaks up large PSAs into a sequence of dependent subtasks, improving fault tolerance; provides a garbage collection technique, which deletes unnecessary data; and employs a trust delegation technique that facilitates flexible third party data transfers across different VOs
Executing Large Parameter Sweep Applications on a Multi-VO Testbed
Applications that span multiple virtual organizations (VOs) are of great interest to the eScience community. However, recent attempts to execute large-scale parameter sweep applications (PSAs) with the Nimrod/G tool have exposed problems in the areas of fault tolerance, data storage and trust management. In response, we have implemented a task-splitting approach, which breaks up large PSAs into a sequence of dependent subtasks, improving fault tolerance; provides a garbage collection technique, which deletes unnecessary data; and employs a trust delegation technique that facilitates flexible third party data transfers across different VOs.