Avoid Deadlock Resource Allocation (ADRA) Model V VM-out-of-N PM

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Title: Avoid Deadlock Resource Allocation (ADRA) Model V VM-out-of-N PM
Authors: Cuong Nguyen, Ha Huy, Thang Doan, Van
Source: International Journal of Innovative Technology and Interdisciplinary Sciences; Vol. 2 No. 1 (2019): International Journal of Innovative Technology and Interdisciplinary Sciences; 98-107 ; 2613-7305
Publisher Information: TULTECH
Publication Year: 2019
Subject Terms: Cloud computing, IaaS, Resource allocation, Heterogeneous, Distributed platforms, Avoid deadlock
Description: This paper presents an avoid deadlock resource allocation (ADRA) for model V VM-out-of-N PM since cloud computing is a new computing paradigm composed of grid computing, distributed computing and utility concepts. Cloud computing presents a different resource allocation paradigm than either grids or distributed systems. Cloud service providers dynamically scale virtualized computing resources as a service over the internet. Due to variable number of users and limited resources, cloud is prone to deadlock at very large scale. Resource allocation and the associated deadlock avoidance is problem originated in the design and the implementation of the distributed computing, grid computing. In this paper, a new concept of free space cloud is proposed to avoid deadlock by collecting available free resource from all allocated users. New algorithms are developed for allocating multiple resources to competing services running in virtual machines on a heterogeneous distributed platform. An experiment is tested in CloudSim. The performance of resource pool manager is evaluated by using CloudSim and resource utilization and indicating good results.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://journals.tultech.eu/index.php/ijitis/article/view/21/16; https://journals.tultech.eu/index.php/ijitis/article/view/21
DOI: 10.15157/IJITIS.2019.2.1.98-107
Availability: https://journals.tultech.eu/index.php/ijitis/article/view/21
https://doi.org/10.15157/IJITIS.2019.2.1.98-107
Rights: https://creativecommons.org/licenses/by/4.0
Accession Number: edsbas.ACD9E8DF
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  Data: Avoid Deadlock Resource Allocation (ADRA) Model V VM-out-of-N PM
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  Data: <searchLink fieldCode="AR" term="%22Cuong+Nguyen%2C+Ha+Huy%22">Cuong Nguyen, Ha Huy</searchLink><br /><searchLink fieldCode="AR" term="%22Thang+Doan%2C+Van%22">Thang Doan, Van</searchLink>
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  Data: International Journal of Innovative Technology and Interdisciplinary Sciences; Vol. 2 No. 1 (2019): International Journal of Innovative Technology and Interdisciplinary Sciences; 98-107 ; 2613-7305
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  Data: 2019
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  Data: <searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br /><searchLink fieldCode="DE" term="%22IaaS%22">IaaS</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+allocation%22">Resource allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Heterogeneous%22">Heterogeneous</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+platforms%22">Distributed platforms</searchLink><br /><searchLink fieldCode="DE" term="%22Avoid+deadlock%22">Avoid deadlock</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This paper presents an avoid deadlock resource allocation (ADRA) for model V VM-out-of-N PM since cloud computing is a new computing paradigm composed of grid computing, distributed computing and utility concepts. Cloud computing presents a different resource allocation paradigm than either grids or distributed systems. Cloud service providers dynamically scale virtualized computing resources as a service over the internet. Due to variable number of users and limited resources, cloud is prone to deadlock at very large scale. Resource allocation and the associated deadlock avoidance is problem originated in the design and the implementation of the distributed computing, grid computing. In this paper, a new concept of free space cloud is proposed to avoid deadlock by collecting available free resource from all allocated users. New algorithms are developed for allocating multiple resources to competing services running in virtual machines on a heterogeneous distributed platform. An experiment is tested in CloudSim. The performance of resource pool manager is evaluated by using CloudSim and resource utilization and indicating good results.
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  Data: https://journals.tultech.eu/index.php/ijitis/article/view/21/16; https://journals.tultech.eu/index.php/ijitis/article/view/21
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  Data: 10.15157/IJITIS.2019.2.1.98-107
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  Data: https://journals.tultech.eu/index.php/ijitis/article/view/21<br />https://doi.org/10.15157/IJITIS.2019.2.1.98-107
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      – SubjectFull: IaaS
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