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International Conference on Cloud Computing and Security

ICCCS 2017: Cloud Computing and Security pp 300–309Cite as

Cloud Management Systems and Virtual Desktop Infrastructure Load Balancing Algorithms - A Survey

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10602))

Abstract

Cloud Computing Technology has hatched some fascinating services, including hosted file servers, applications on demand and business continuity solutions. The volume of data storage upsurges quickly in open environment. So, load balancing is a main challenge in cloud environment. Load balancing helps to distribute the dynamic workload across multiple nodes to ensure that no single node is overloaded. It helps in proper utilization of resources. It also improve the performance of the system. Cloud data center management is an essential problem due to the numerous and heterogeneous strategies that can be applied, ranging from the virtual machine location to the coalition with other clouds. Load Balancing is important for essential operations in cloud virtual environments. Many algorithms have been developed for allocating client’s requests to available remote nodes. This paper presents a survey on load balancing algorithms in cloud management systems and virtual desktop infrastructure as well as properties of cloud computing. The survey also presents a comparative metrics on load balancing algorithms such as round robin, honey bee, ant colony, and active clustering and others as main the focus.

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Author information

Authors and Affiliations

  1. School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China

    Micheal Ernest Taylor & Jian Shen

Authors
  1. Micheal Ernest Taylor
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  2. Jian Shen
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Corresponding author

Correspondence to Jian Shen .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. National Dong Hwa University, Shoufeng, Taiwan

    Han-Chieh Chao

  3. China Information Technology Security Evaluation Center, Nanjing, China

    Xingang You

  4. Department of Computer Science, Purdue University, West Lafayette, Indiana, USA

    Elisa Bertino

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Taylor, M.E., Shen, J. (2017). Cloud Management Systems and Virtual Desktop Infrastructure Load Balancing Algorithms - A Survey. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10602. Springer, Cham. https://doi.org/10.1007/978-3-319-68505-2_26

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  • DOI: https://doi.org/10.1007/978-3-319-68505-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68504-5

  • Online ISBN: 978-3-319-68505-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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