@article{TroegerMerzky2014,
  author    = {Troeger, Peter and Merzky, Andre},
  title     = {Towards standardized job submission and control in infrastructure clouds},
  series = {Journal of grid computing},
  volume    = {12},
  journal   = {Journal of grid computing},
  number    = {1},
  publisher = {Springer},
  address   = {Dordrecht},
  issn      = {1570-7873},
  doi       = {10.1007/s10723-013-9275-2},
  pages     = {111 -- 125},
  year      = {2014},
  abstract  = {The submission and management of computational jobs is a traditional part of utility computing environments. End users and developers of domain-specific software abstractions often have to deal with the heterogeneity of such batch processing systems. This lead to a number of application programming interface and job description standards in the past, which are implemented and established for cluster and Grid systems. With the recent rise of cloud computing as new utility computing paradigm, the standardized access to batch processing facilities operated on cloud resources becomes an important issue. Furthermore, the design of such a standard has to consider a tradeoff between feature completeness and the achievable level of interoperability. The article discusses this general challenge, and presents some existing standards with traditional cluster and Grid computing background that may be applicable to cloud environments. We present OCCI-DRMAA as one approach for standardized access to batch processing facilities hosted in a cloud.},
  language  = {en}
}
@inproceedings{BenderGrum2016,
  author    = {Bender, Benedict and Grum, Marcus},
  title     = {Entwicklung eines Architekturkonzepts zum flexiblen Einsatz von Analytics},
  series = {Proceedings INFORMATIK - Jahrestagung der Gesellschaft f{\"u}r Informatik e.V. ; Lecture Notes in Informatics (LNI)},
  booktitle = {Proceedings INFORMATIK - Jahrestagung der Gesellschaft f{\"u}r Informatik e.V. ; Lecture Notes in Informatics (LNI)},
  number    = {P259},
  publisher = {Gesellschaft f{\"u}r Informatik e.V.},
  address   = {Bonn},
  pages     = {815 -- 824},
  year      = {2016},
  abstract  = {Die optimale Dimensionierung von IT-Hardware stellt Entscheider aufgrund der stetigen Weiterentwicklung zunehmend vor Herausforderungen. Dies gilt im Speziellen auch f{\"u}r Analytics-Infrastrukturen, die zunehmend auch neue Software zur Analyse von Daten einsetzen, welche in den Ressourcenanforderungen stark variieren. Damit eine flexible und gleichzeitig effiziente Gestaltung von Analytics-Infrastrukturen erreicht werden kann, wird ein dynamisch arbeitendes Architekturkonzept vorgeschlagen, das Aufgaben auf Basis einer systemspezifischen Entscheidungsmaxime mit Hilfe einer Eskalationsmatrix verteilt und hierf{\"u}r Aufgabencharakteristiken sowie verf{\"u}gbare Hardwareausstattungen entsprechend ihrer Auslastung ber{\"u}cksichtigt.},
  language  = {de}
}