TY  - JOUR
A1  - Jung, Jörg
A1  - Kiertscher, Simon
A1  - Menski, Sebastian
A1  - Schnor, Bettina
T1  - Self-Adapting Load Balancing for DNS
JF  - Journal of networks
N2  - 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)).
KW  - Load Balancing
KW  - Cluster Computing
KW  - Performance Evaluation
Y1  - 2015
U6  - https://doi.org/10.1109/SPECTS.2014.6879994
VL  - 10
IS  - 4
SP  - 222
EP  - 231
PB  - Kluwer Academic Publishers
CY  - Oulu
ER  - 
TY  - JOUR
A1  - Kiertscher, Simon
A1  - Zinke, Jörg
A1  - Schnor, Bettina
T1  - CHERUB power consumption aware cluster resource management
JF  - Cluster computing : the journal of networks, software tools and applications
N2  - 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.
KW  - Green computing
KW  - Cluster computing
Y1  - 2013
U6  - https://doi.org/10.1007/s10586-011-0176-5
SN  - 1386-7857
VL  - 16
IS  - 1
SP  - 55
EP  - 63
PB  - Springer
CY  - New York
ER  - 
TY  - THES
A1  - Kiertscher, Simon
T1  - Energieeffizientes Clustermanagement im Server-Load-Balacing-Bereich, am Fallbeispiel eines Apache-Webserver-Clusters
Y1  - 2017
ER  -