---
res:
  bibo_abstract:
  - "With the recent availability of cost-effective network cards for the PCI bus,
    researchers have been tempted to build up large compute clusters with standard
    PCs. Many of them are operated with workstation cluster management software in
    high-throughput or single user mode.\r\n\r\nFor very large clusters with more
    than 100 PEs, however, it becomes necessary to implement a full fledged resource
    management software that allows to partition the system for multi-user access.\r\n\r\nIn
    this paper, we present our Computing Center Software (CCS), which was originally
    designed for managing massively parallel high-performance computers, and now adapted
    to modern workstation clusters. It provides\r\n  - partitioning of exclusive and
    non-exclusive resources,\r\n  - hardware-independent scheduling of interactive
    and batch jobs,\r\n  - open, extensible interfaces to other resource management
    systems,\r\n  - a high degree of reliability.@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Matthias
      foaf_name: Brune, Matthias
      foaf_surname: Brune
  - foaf_Person:
      foaf_givenName: Axel
      foaf_name: Keller, Axel
      foaf_surname: Keller
      foaf_workInfoHomepage: http://www.librecat.org/personId=15274
  - foaf_Person:
      foaf_givenName: Alexander
      foaf_name: Reinefeld, Alexander
      foaf_surname: Reinefeld
  bibo_doi: 10.1007/BFb0100588
  dct_date: 1999^xs_gYear
  dct_language: eng
  dct_title: Resource Management for High-Performance PC Clusters@
...