MARCR: Method of allocating resources based on cost of the resources in a heterogeneous cloud environment
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.03Keywords:
Cloud Computing; Resource allocation; Cost-based Allocation; Heterogeneous Cloud;Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The cloud is an intelligent technology that provides requested services to users. It offers unlimited services for the users. Many small and medium-scale industries are startup their businesses to the next level using cloud computing. The services have been provided to the users by allocating the requested resources. Allocating resources without waste and with the finest allocation is a critical task in the cloud. This paper proposes a method for allocating resources using the cost of the resource. Resource allocation follows a priority system when allocating resources. The proposed method gives priority to low-cost resources. The cost denotes the service cost of the resource. The requested resource is assigned to the user by the CSP, who provides the specific resource at a low cost. This proposed method suggests a UHRAM for collecting and allocating the resources from the different CSPs. UHRAM is a centralized hub for delivering requested resources to users, and it maintains a repository of details about the resources from all CSPs in the heterogeneous cloud. The proposed method is implemented with the user’s data. The results from the comparison show that the proposed cost-based resource allocation method is more efficient than existing methods.Abstract
How to Cite
Downloads
Similar Articles
- A. R. Jasmine Begum, M. Parveen, S. Latha, IoT based home automation with energy management , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Hemamalini V., Victoria Priscilla C, Deep learning driven image steganalysis approach with the impact of dilation rate using DDS_SE-net on diverse datasets , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Shemal Dave, Dhaval Vyas, Jyotindra Jani, Capital adequacy and systemic risk: Evidence from selected Indian private sector banks , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Indrajeet Mishra, Estimation of the covalent binding parameters and the ground state wave functions in complexes doped with vanadyl ion , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Narmetova Y. Karimovna, Abdusamatov Khasanboy, Abdinazarova Iltifotkhon, Nurbaeva Khabiba, Mirzayeva Adiba, Psychoemotional characteristics in psychosomatic diseases , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Kapil ahuja, Ekta Rani, Soniya Devi, Exploring the dynamic landscape of environmental, social, and governance literature by using bibliometric analysis , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- P. J. Robinson, S. W. A. Prakash, Stochastic artificial neural network for magdm problem solving in intuitionistic fuzzy environment , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Amanda Quist Okronipa, Lucy Ewuresi Eghan, A theoretical investigation of students’ adoption of artificial intelligence chatbots using social cognitive theory and uses and gratification theory , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- M. Monika, J. Merline Vinotha, A resilient supply chain model integrating demand variability and carbon emissions in imperfect production systems , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Sivakumar S, Rajasekaran Kondareddy, Kalyani Ayyemperumal, Building SaaS solutions using microsoft azure for achieving safe and secure tax related software , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
<< < 17 18 19 20 21 22 23 24 25 26 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Sheena Edavalath, Manikandasaran S. Sundaram, Cost-based resource allocation method for efficient allocation of resources in a heterogeneous cloud environment , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper

