The Proposed IT-TALB in Infrastructure as a Service Cloud

S Shanmugapriya; N Priya

doi:10.17485/IJST/v17i16.3274

Article

The Proposed IT-TALB in Infrastructure as a Service Cloud

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v17i16.3274

Year: 2024, Volume: 17, Issue: 16, Pages: 1654-1662

Original Article

The Proposed IT-TALB in Infrastructure as a Service Cloud

S Shanmugapriya^1*, N Priya²

¹Assistant Professor, PG Department of Information Technology and BCA, Dwaraka Doss Goverdhan Doss Vaishnav College, University of Madras, Chennai, Tamil Nadu, India
²Associate Professor, Research Department of Computer Science, Shrimathi Devkunvar Nanalal Bhatt Vaishnav College for Women, University of Madras, Chennai, Tamil Nadu, India

*Corresponding Author
Email: [email protected]

Received Date:04 January 2024, Accepted Date:19 March 2024, Published Date:15 April 2024

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: The purpose of the proposed IT-TALB load balancing algorithm is to dynamically allocate the user's workload to the appropriate virtual machine in an Infrastructure as a Service (IaaS) cloud environment. Methods: This research work includes several key procedures. The user's workloads are distributed to the data center controller (DCC), which in turn uses the ECO-SBP service broker policy to select the efficient data center (DC) for processing the loads. The DCC forwards the load to the selected DC, and the IT-TALB load balancer picks the best Virtual Machine (VM) using CloudAnalyst simulation tool for load allocations according to metrics such as its size, current number of loads, and load size. IT-TALB partitions the available and busy VMs separately and stores them in the TreeMap structure. This algorithm also incorporates the scalability of the given VM when the load size is not compatible with the existing VMs by extending the resources of underutilized VMs. Findings: The research finding demonstrates that the proposed IT-TALB algorithm improves IaaS cloud performance compared to the existing algorithms. It achieves optimum load balancing, reduces the searching time of the VM, avoids the load waiting time, improves throughput, minimizes the response time, and enhances the resource utilization ratio. IT-TALB yields a throughput and resource utilization ratio of 98 to 99 percent. Novelty: The novelty of this research is that the IT-TALB algorithm incorporates the scalability of the underutilized VM and also introduces new metrics such as throughput and resource utilization ratio in the CloudAnalyst simulation tool for assessing the performance of the proposed algorithm. This study provides information for analyzing the proposed IT-TALB strategies with the existing two algorithms such as TLB and TALB in order to show its performance.

Keywords: Cloud Computing, Infrastructure as a Service, Load Balancing, Throttled Load Balancing, Virtual Machine

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Copyright

© 2024 Shanmugapriya & Priya. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)