A Layer & Request Priority-based Framework for Dynamic Resource Allocation in Cloud- Fog - Edge Hybrid Computing Environment

One of the most promising frameworks is the fog computing paradigm for time-sensitive applications such as IoT (Internet of Things). Though it is an extended type of computing paradigm, which is mainly used to support cloud computing for executing deadline-based user requirements in IoT applications...

Full description

Bibliographic Details
Main Authors: Sandip Kumar Patel, Ritesh Patel
Format: Article
Language:English
Published: Ram Arti Publishers 2022-10-01
Series:International Journal of Mathematical, Engineering and Management Sciences
Subjects:
Online Access:https://ijmems.in/article_detail.php?vid=7&issue_id=34&article_id=456
_version_ 1818029420352372736
author Sandip Kumar Patel
Ritesh Patel
author_facet Sandip Kumar Patel
Ritesh Patel
author_sort Sandip Kumar Patel
collection DOAJ
description One of the most promising frameworks is the fog computing paradigm for time-sensitive applications such as IoT (Internet of Things). Though it is an extended type of computing paradigm, which is mainly used to support cloud computing for executing deadline-based user requirements in IoT applications. However, there are certain challenges related to the hybrid IoT -cloud environment such as poor latency, increased execution time, computational burden and overload on the computing nodes. This paper offers A Layer & Request priority-based framework for Dynamic Resource Allocation Method (LP-DRAM), a new approach based on layer priority for ensuring effective resource allocation in a fog-cloud architecture. By performing load balancing across the computer nodes, the suggested method achieves an effective resource allocation. Unlike conventional resource allocation techniques, the proposed work assumes that the node type and the location are not fixed. The tasks are allocated based on two constrain, duration and layer priority basis i.e, the tasks are initially assigned to edge computing nodes and based on the resource availability in edge nodes, the tasks are further allocated to fog and cloud computing nodes. The proposed approach's performance was analyzed by comparing it to existing methodologies such as First Fit (FF), Best Fit (BF), First Fit Decreasing (FFD), Best Fit Decreasing (BFD), and DRAM techniques to validate the effectiveness of the proposed LP-DRAM.
first_indexed 2024-12-10T05:19:24Z
format Article
id doaj.art-749a31103c924c3697eca44c83343f43
institution Directory Open Access Journal
issn 2455-7749
language English
last_indexed 2024-12-10T05:19:24Z
publishDate 2022-10-01
publisher Ram Arti Publishers
record_format Article
series International Journal of Mathematical, Engineering and Management Sciences
spelling doaj.art-749a31103c924c3697eca44c83343f432022-12-22T02:00:51ZengRam Arti PublishersInternational Journal of Mathematical, Engineering and Management Sciences2455-77492022-10-0175697716https://doi.org/10.33889/IJMEMS.2022.7.5.046A Layer & Request Priority-based Framework for Dynamic Resource Allocation in Cloud- Fog - Edge Hybrid Computing Environment Sandip Kumar Patel0Ritesh Patel1U & P.U. Patel Department of Computer Engineering, Charotar University of Science & Technology, CHARUSAT Campus, Gujarat, India.U & P.U. Patel Department of Computer Engineering, Charotar University of Science & Technology, CHARUSAT Campus, Gujarat, India.One of the most promising frameworks is the fog computing paradigm for time-sensitive applications such as IoT (Internet of Things). Though it is an extended type of computing paradigm, which is mainly used to support cloud computing for executing deadline-based user requirements in IoT applications. However, there are certain challenges related to the hybrid IoT -cloud environment such as poor latency, increased execution time, computational burden and overload on the computing nodes. This paper offers A Layer & Request priority-based framework for Dynamic Resource Allocation Method (LP-DRAM), a new approach based on layer priority for ensuring effective resource allocation in a fog-cloud architecture. By performing load balancing across the computer nodes, the suggested method achieves an effective resource allocation. Unlike conventional resource allocation techniques, the proposed work assumes that the node type and the location are not fixed. The tasks are allocated based on two constrain, duration and layer priority basis i.e, the tasks are initially assigned to edge computing nodes and based on the resource availability in edge nodes, the tasks are further allocated to fog and cloud computing nodes. The proposed approach's performance was analyzed by comparing it to existing methodologies such as First Fit (FF), Best Fit (BF), First Fit Decreasing (FFD), Best Fit Decreasing (BFD), and DRAM techniques to validate the effectiveness of the proposed LP-DRAM.https://ijmems.in/article_detail.php?vid=7&issue_id=34&article_id=456fog computingcloud computingedge computingdynamic resource allocationload balancing
spellingShingle Sandip Kumar Patel
Ritesh Patel
A Layer & Request Priority-based Framework for Dynamic Resource Allocation in Cloud- Fog - Edge Hybrid Computing Environment
International Journal of Mathematical, Engineering and Management Sciences
fog computing
cloud computing
edge computing
dynamic resource allocation
load balancing
title A Layer & Request Priority-based Framework for Dynamic Resource Allocation in Cloud- Fog - Edge Hybrid Computing Environment
title_full A Layer & Request Priority-based Framework for Dynamic Resource Allocation in Cloud- Fog - Edge Hybrid Computing Environment
title_fullStr A Layer & Request Priority-based Framework for Dynamic Resource Allocation in Cloud- Fog - Edge Hybrid Computing Environment
title_full_unstemmed A Layer & Request Priority-based Framework for Dynamic Resource Allocation in Cloud- Fog - Edge Hybrid Computing Environment
title_short A Layer & Request Priority-based Framework for Dynamic Resource Allocation in Cloud- Fog - Edge Hybrid Computing Environment
title_sort layer request priority based framework for dynamic resource allocation in cloud fog edge hybrid computing environment
topic fog computing
cloud computing
edge computing
dynamic resource allocation
load balancing
url https://ijmems.in/article_detail.php?vid=7&issue_id=34&article_id=456
work_keys_str_mv AT sandipkumarpatel alayerrequestprioritybasedframeworkfordynamicresourceallocationincloudfogedgehybridcomputingenvironment
AT riteshpatel alayerrequestprioritybasedframeworkfordynamicresourceallocationincloudfogedgehybridcomputingenvironment
AT sandipkumarpatel layerrequestprioritybasedframeworkfordynamicresourceallocationincloudfogedgehybridcomputingenvironment
AT riteshpatel layerrequestprioritybasedframeworkfordynamicresourceallocationincloudfogedgehybridcomputingenvironment