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Balancing of Web Applications Workload Using Hybrid Computing (CPU–GPU) Architecture

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Abstract

The current network architecture does not properly manage the load of web applications or keep track of user-web application interaction. There are concerns regarding proper memory ratio, data transfer between user and device, host outstanding procedures, and tenure usage of CPUs and GPUs because centralized administration is absent in the mainstream network system. It’s crucial to have a reliable and improved hybrid web application workload balancing solution in order to make the graphical resources highly available to the network environment. It automates processes that need to be completed and cuts down on processing time overall, lowering administrative costs and processing times. Hybrid computing also includes service delivery, which determines where each job provides the respective services with respect to each user. The database stores each user’s information, which is used for authentication. This reduces the time required for users to log in each time, determines the resources needed, and keeps track of which users are using which resources.

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Data Availability

The dataset generated and analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

Authors acknowledge the support from BMS Institute of Technology and Management, Bengaluru and Reva University, Bengaluru for the facilities provided to carry out the research work.

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Authors and Affiliations

  1. BMS Institute of Technology and Management, Bengaluru, Karnataka, 64, India

    B. N. Chandrashekhar, V. Kantharaju & N. Harish Kumar

  2. REVA University, Bengaluru, Karnataka, 64, India

    Lithin Kumble

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  1. B. N. Chandrashekhar
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  2. V. Kantharaju
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All authors are contributed their expertise to implement and evaluate the outcome of the work.

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Correspondence to B. N. Chandrashekhar.

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This article is part of the topical collection “Advances in Computational Approaches for Image Processing, Wireless Networks, Cloud Applications and Network Security” guest edited by P. Raviraj, Maode Ma and Roopashree H R.

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Chandrashekhar, B.N., Kantharaju, V., Harish Kumar, N. et al. Balancing of Web Applications Workload Using Hybrid Computing (CPU–GPU) Architecture. SN COMPUT. SCI. 5, 127 (2024). https://doi.org/10.1007/s42979-023-02444-2

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