Self-Adapting Load Balancing for DNS

被引:0
|
作者
Jung, Joerg [1 ]
Kiertscher, Simon [1 ]
Menski, Sebastian [1 ]
Schnor, Bettina [1 ]
机构
[1] Univ Potsdam, Inst Comp Sci, Potsdam, Germany
关键词
Load Balancing; Cluster Computing; Performance Evaluation;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 and load balancing is 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 heterogeneous 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. This paper presents an approach 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.
引用
收藏
页码:564 / 571
页数:8
相关论文
共 50 条
  • [21] SELF-ADAPTING MULTIPLE MICROPHONE SYSTEM
    TAKAHASHI, K
    YAMASAKI, H
    [J]. SENSORS AND ACTUATORS A-PHYSICAL, 1990, 22 (1-3) : 610 - 614
  • [22] Nonlinear self-adapting wave patterns
    Kessler, David A.
    Levine, Herbert
    [J]. NEW JOURNAL OF PHYSICS, 2016, 18
  • [23] A multi-objective residential load management based on self-adapting differential evolution
    Mansoor, Mustafa Ibrahim
    Haider, Haider Tarish
    [J]. RENEWABLE ENERGY FOCUS, 2021, 38 : 44 - 56
  • [24] An edge dns global server load balancing for load balancing in edge computing
    Herbert Raj P.
    [J]. Lecture Notes on Data Engineering and Communications Technologies, 2021, 66 : 735 - 742
  • [25] Self-adapting self-organizing migrating algorithm
    Skanderova, Lenka
    Fabian, Tomas
    Zelinka, Ivan
    [J]. SWARM AND EVOLUTIONARY COMPUTATION, 2019, 51
  • [26] Self-monitoring and self-adapting operating systems
    Seltzer, M
    Small, C
    [J]. SIXTH WORKSHOP ON HOT TOPICS IN OPERATING SYSTEMS, PROCEEDINGS, 1997, : 124 - 129
  • [27] A NEW ALGORITHM FOR SELF-ADAPTING WEB INTERFACES
    Vintila, Bogdan
    Palaghita, Dragos
    Dascalu, Maria
    [J]. WEBIST 2010: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGY, VOL 2, 2010, : 57 - 62
  • [28] A Self-Adapting Algorithm for Context Aware Systems
    Cioara, Tudor
    Anghel, Ionut
    Salomie, Ioan
    Dinsoreanu, Mihaela
    Copil, Georgiana
    Moldovan, Daniel
    [J]. 9TH ROEDUNET IEEE INTERNATIONAL CONFERENCE, 2010, : 374 - 379
  • [29] Self-adapting numerical software (SANS) effort
    Dongarra, J
    Bosilca, G
    Chen, Z
    Eijkhout, V
    Fagg, GE
    Fuentes, E
    Langou, J
    Luszczek, P
    Pjesivac-Grbovic, J
    Seymour, K
    You, H
    Vadhiyar, SS
    [J]. IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 2006, 50 (2-3) : 223 - 238
  • [30] Self-adapting scalable differential evolution algorithm
    Liu, Rong-Hui
    Zheng, Jian-Guo
    [J]. Journal of Donghua University (English Edition), 2011, 28 (04) : 384 - 390