---
res:
  bibo_abstract:
  - We present a multi-agent system on top of the IaaS layer consisting of a scheduler
    agent and multiple worker agents. Each job is controlled by an autonomous worker
    agent, which is equipped with application specific knowledge (e.g., performance
    functions) allowing it to estimate the type and number of necessary resources.
    During runtime, the worker agent monitors the job and adapts its resources to
    ensure the specified quality of service - even in noisy clouds where the job instances
    are influenced by other jobs. All worker agents interact with the scheduler agent,
    which takes care of limited resources and does a cost-aware scheduling by assigning
    jobs to times with low energy costs. The whole architecture is self-optimizing
    and able to use public or private clouds.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Oliver
      foaf_name: Niehörster, Oliver
      foaf_surname: Niehörster
  - foaf_Person:
      foaf_givenName: Axel
      foaf_name: Keller, Axel
      foaf_surname: Keller
      foaf_workInfoHomepage: http://www.librecat.org/personId=15274
  - foaf_Person:
      foaf_givenName: André
      foaf_name: Brinkmann, André
      foaf_surname: Brinkmann
  bibo_doi: 10.1109/MASCOTS.2011.52
  dct_date: 2011^xs_gYear
  dct_language: eng
  dct_title: An Energy-Aware SaaS Stack@
...