@phdthesis{Kiertscher2017,
  author    = {Kiertscher, Simon},
  title     = {Energieeffizientes Clustermanagement im Server-Load-Balacing-Bereich, am Fallbeispiel eines Apache-Webserver-Clusters},
  school      = {Universit{\"a}t Potsdam},
  pages     = {185},
  year      = {2017},
  language  = {de}
}
@article{JungKiertscherMenskietal.2015,
  author    = {Jung, J{\"o}rg and Kiertscher, Simon and Menski, Sebastian and Schnor, Bettina},
  title     = {Self-Adapting Load Balancing for DNS},
  series = {Journal of networks},
  volume    = {10},
  journal   = {Journal of networks},
  number    = {4},
  publisher = {Kluwer Academic Publishers},
  address   = {Oulu},
  doi       = {10.1109/SPECTS.2014.6879994},
  pages     = {222 -- 231},
  year      = {2015},
  abstract  = {The Domain Name System belongs to the core services of the Internet infrastructure. Hence, DNS availability and performance is essential for the operation of the Internet and replication as well as load balancing are used for the root and top level name servers. This paper proposes an architecture for credit based server load balancing (SLB) for DNS. Compared to traditional load balancing algorithms like round robin or least connection, the benefit of credit based SLB is that the load balancer can adapt more easily to heterogeneous load requests and back end server capacities. The challenge of this approach is the definition of a suited credit metric. While this was done before for TCP based services like HTTP, the problem was not solved for UDP based services like DNS. In the following an approach is presented to define credits also for UDP based services. This UDP/DNS approach is implemented within the credit based SLB implementation salbnet. The presented measurements confirm the benefit of the self-adapting credit based SLB approach. In our experiments, the mean (first) response time dropped significantly compared to weighted round robin (WRR) (from over 4 ms to about 0.6 ms for dynamic pressure relieve (DPR)).},
  language  = {en}
}
@article{KiertscherZinkeSchnor2013,
  author    = {Kiertscher, Simon and Zinke, J{\"o}rg and Schnor, Bettina},
  title     = {CHERUB power consumption aware cluster resource management},
  series = {Cluster computing : the journal of networks, software tools and applications},
  volume    = {16},
  journal   = {Cluster computing : the journal of networks, software tools and applications},
  number    = {1},
  publisher = {Springer},
  address   = {New York},
  issn      = {1386-7857},
  doi       = {10.1007/s10586-011-0176-5},
  pages     = {55 -- 63},
  year      = {2013},
  abstract  = {This paper presents an evaluation of ACPI energy saving modes, and deduces the design and implementation of an energy saving daemon for clusters called cherub. The design of the cherub daemon is modular and extensible. Since the only requirement is a central approach for resource management, cherub is suited for Server Load Balancing (SLB) clusters managed by dispatchers like Linux Virtual Server (LVS), as well as for High Performance Computing (HPC) clusters. Our experimental results show that cherub's scheduling algorithm works well, i.e. it will save energy, if possible, and avoids state-flapping.},
  language  = {en}
}