Scheduled System Maintenance:
On May 6th, system maintenance will take place from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). During this time, there may be intermittent impact on performance. We apologize for the inconvenience.
By Topic

e-Science Infrastructure Integration Invariants to Enable HTC and HPC Interoperability Applications

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
7 Author(s)
Riedel, M. ; Julich Supercomput. Centre, Forschungszentrum Julich, Julich, Germany ; Memon, M.S. ; Memon, A.S. ; Mallmann, D.
more authors

During the past decade, significant international and broader interdisciplinary research is increasingly carried out by global collaborations that often share resources within a single production e-science infrastructure. More recently, increasing complexity of e-science applications embrace multiple physical models (i.e. multi-physics) and consider longer and more detailed simulation runs as well as a larger range of scales (i.e. multi-scale). This increase in complexity is creating a steadily growing demand for cross-infrastructure operations that take the advantage of multiple e-science infrastructures with a more variety of resource types. Since interoperable e-science infrastructures are still not seamlessly provided today we proposed in earlier work the Infrastructure Interoperability Reference Model (IIRM) that represents a trimmed down version of the Open Grid Service Architecture (OGSA) in terms of functionality and complexity, while on the other hand being more specifically useful for production and thus easier to implement. This contribution focuses on several important reference model invariants that are often neglected when infrastructure integration activities are being performed thus hindering seamless interoperability in many aspects. In order to indicate the relevance of our invariant definitions, we provide insights into two accompanying cross-infrastructure use cases of the bio-informatics and fusion science domain.

Published in:

Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), 2011 IEEE International Symposium on

Date of Conference:

16-20 May 2011