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Matthias Brune

dblp:94/1365 · DBLP profile ↗
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6ranked-venue papers
5as first author
0since 2021 · last 1999
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 6 · 5 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 50% High-performance computing · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing
distributed computing infrastructure
0.011999
A Resource Description Environment for Distributed Computing Systems · HPDC 1999
Cloud and datacenter computing
resource management
0.011999
A Resource Description Environment for Distributed Computing Systems · HPDC 1999

Methods — techniques the papers use, named apart from their topics

compiler system · 0.0application programming interface · 0.0
YearPublicationVenuePosition
1999 A Resource Description Environment for Distributed Computing Systems
abstract
RSD (Resource and Service Description) is a software architecture for specifying, registering and accessing resources and services in complex heterogeneous computing environments. It has three major components: a graphical resource editor, a compiler system for translating textual specifications, and an application programming interface. In this paper we focus on the language definition and the compiler system that generates portable data objects for registering and accessing distributed resources. We also present the mechanism used by RSD to maintain information on the status of dynamic resources such as CPU load or network bandwidth. RSD is a purely descriptive tool that provides up-to-date information on system resources. Other tools, like resource brokers, mappers or job migrators, build on it.
Matthias Brune, Alexander Reinefeld, Jörg Varnholt
HPDC1
1999 Managing clusters of geographically distributed high-performance computers
abstract
We present a software system for the management of geographically distributed high-performance computers. It consists of three components: 1. The Computing Center Software (CCS) is a vendor-independent resource management software for local HPC systems. It controls the mapping and scheduling of interactive and batch jobs on massively parallel systems; 2. The Resource and Service Description (RSD) is used by CCS for specifying and mapping hardware and software components of (meta-)computing environments. It has a graphical user interface, a textual representation and an object-oriented API; 3. The Service Coordination Layer (SCL) co-ordinates the co-operative use of resources in autonomous computing sites. It negotiates between the applications' requirements and the available system services. Copyright © 1999 John Wiley & Sons, Ltd.
Matthias Brune, Jörn Gehring, Axel Keller, Alexander Reinefeld
Concurr. Pract. Exp.1
1999 Message-passing environments for metacomputing
Matthias Brune, Graham E. Fagg, Michael M. Resch
Future Gener. Comput. Syst.1
1998 Communicating across parallel message-passing environments
Alexander Reinefeld, Jörn Gehring, Matthias Brune
J. Syst. Archit.3
1998 Specifying Resources and Services in Metacomputing Environments
Matthias Brune, Jörn Gehring, Axel Keller, Burkhard Monien, Friedhelm Ramme, Alexander Reinefeld
Parallel Comput.1
1997 Heterogeneous Message Passing and a Link to Resource Management
Matthias Brune, Jörn Gehring, Alexander Reinefeld
J. Supercomput.1