Intelligent Resource Allocation Technique For Desktop-as-a-Service in Cloud Environment
Gandhi Kishan Bipinchandra, Prof. Rajanikanth Aluvalu, Dr.Ajay Shanker, Singh

TL;DR
This paper introduces an Intelligent Resource Allocation (IRA) technique for Desktop-as-a-Service in cloud environments, aiming to optimize resource utilization, ensure user data confidentiality, and minimize SLA violations.
Contribution
The paper proposes a novel IRA method that enhances existing overbooking mechanisms by prioritizing user requests based on SLA factors to improve system performance.
Findings
Significant reduction in SLA violations with IRA implementation
Improved resource utilization and customer satisfaction
Enhanced data confidentiality through SLA-based prioritization
Abstract
The specialty of desktop-as-a-service cloud computing is that user can access their desktop and can execute applications in virtual desktops on remote servers. Resource management and resource utilization are most significant in the area of desktop-as-a-service, cloud computing; however, handling a large amount of clients in the most efficient manner poses important challenges. Especially deciding how many clients to handle on one server, and where to execute the user applications at each time is important. This is because we have to ensure maximum resource utilization along with user data confidentiality, customer satisfaction, scalability, minimum Service level agreement (SLA) violation etc. Assigning too many users to one server leads to customer dissatisfaction, while assigning too little leads to higher investments costs. So we have taken into consideration these two situations…
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Taxonomy
TopicsCloud Computing and Resource Management · IoT and Edge/Fog Computing · Cloud Computing and Remote Desktop Technologies
