Paper Info
Title
Metacomputing in practice: a distributed compute server for pharmaceutical industry
Abstract
We describe a distributed high-performance compute server that has been implemented for running compute-intensive applications on a mixture of HPC systems interconnected by Inter-and Intranet. With a practical industrial background, our work focusses on high availability, efficient job load balancing, security, and the easy integration of HPC computing into the daily work-flow at pharmaceutical companies. The work was done in the course of the ESPRIT project P hase A Distributed Pharmaceutical Application Server The client software is implemented in Java. All results are displayed in a web browser and can be forwarded to the next stage of applications used in the drug design cycle. The server software handles the job load balancing between the participating HPC nodes and is capable of managing multi-site applications. Our environment currently supports four key applications that are used in rational drug design and drug target identification. They range from the automatic functional annotation of protein sequences to three-dimensional protein structure prediction tools and protein comparison applications.
Year
DOI
Venue
1999
10.1016/S0167-739X(99)00026-6
Future Generation Comp. Syst.
Keywords
Field
DocType
metacomputing,resource management,pharmaceutical industry,web technology,job load balancing,bio-informatics,multisite application,java,high availability,resource manager,distributed computing,applications,load balance
Client,Load balancing (computing),Computer science,Server,Intranet,Real-time computing,Metacomputing,High availability,Java,Operating system,Application server,Distributed computing
Journal
Volume
Issue
ISSN
15
5-6
Future Generation Computer Systems
Citations 
PageRank 
References 
2
0.61
9
Authors
5
Name
Order
Citations
PageRank
Robert Bywater120.61
Jörn Gehring218741.93
Alexander Reinefeld3889126.08
Friedrich Rippmann46311.57
Anke Weber520.61