Abstract
Internet technologies have upsurge the shift from earlier organizational computing processes which were characterized by main frames, client-server models and personal computers (PCs) and have restructured the concept of computing into a phenomenon that uses infrastructure across the globe. This has given rise to IT’s reliance on heterogeneous network services and corresponding protocols. Internet technologies and virtualization are key features of cloud management systems. Cloud management system, considered as an evolutionary development, has made the provision of cloud services possible. This is premised on knowledge advancement in technological innovation regarding virtualization, automation of data-centers and network connectivity. A cloud-based VDI solution is a computing model where an end user’s system can access all the essential files and data virtually in spite of being alienated from the physical IT infrastructure. However, issues of load balancing and VDI implementation undermine the Quality of Experience (QoE) users obtain from cloud management systems. This study adopts qualitative metrical analysis and comparative metrics on load balancing algorithms to determine algorithms that ensure workload balance. This paper focuses on load balancing algorithms in cloud management systems and virtual desktop infrastructure. The paper further presents rules for implementing a load balancer in cloud management systems, techniques for VDI implementation and a corresponding matrix table.
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Taylor, M.E., Aboagye-Darko, D., Shen, J. (2019). Cloud Management Systems - Load Balancing Algorithms and VDI Implementation Techniques. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11633. Springer, Cham. https://doi.org/10.1007/978-3-030-24265-7_48
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DOI: https://doi.org/10.1007/978-3-030-24265-7_48
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