Dr M S Mekala ms.mekala@rgu.ac.uk
Lecturer
DAWM: cost-aware asset claim analysis approach on big data analytic computation model for cloud data centre.
Mekala, M. S.; Patan, Rizwan; Islam, Sk Hafizul; Samanta, Debabrata; Mallah, Ghulam Ali; Chaudhry, Shehzad Ashraf
Authors
Rizwan Patan
Sk Hafizul Islam
Debabrata Samanta
Ghulam Ali Mallah
Shehzad Ashraf Chaudhry
Abstract
The heterogeneous resource-required application tasks increase the cloud service provider (CSP) energy cost and revenue by providing demand resources. Enhancing CSP profit and preserving energy cost is a challenging task. Most of the existing approaches consider task deadline violation rate rather than performance cost and server size ratio during profit estimation, which impacts CSP revenue and causes high service cost. To address this issue, we develop two algorithms for profit maximization and adequate service reliability. First, a belief propagation-influenced cost-aware asset scheduling approach is derived based on the data analytic weight measurement (DAWM) model for effective performance and server size optimization. Second, the multiobjective heuristic user service demand (MHUSD) approach is formulated based on the CPS profit estimation model and the user service demand (USD) model with dynamic acyclic graph (DAG) phenomena for adequate service reliability. The DAWM model classifies prominent servers to preserve the server resource usage and cost during an effective resource slicing process by considering each machine execution factor (remaining energy, energy and service cost, workload execution rate, service deadline violation rate, cloud server configuration (CSC), service requirement rate, and service level agreement violation (SLAV) penalty rate). The MHUSD algorithm measures the user demand service rate and cost based on the USD and CSP profit estimation models by considering service demand weight, tenant cost, and energy cost. The simulation results show that the proposed system has accomplished the average revenue gain of 35%, cost of 51%, and profit of 39% than the state-of-the-art approaches.
Citation
MEKALA, M.S., PATAN, R., ISLAM, S.H., SAMANTA, D., MALLAH, G.A. and CHAUDHRY, S.A. 2021. DAWM: cost-aware asset claim analysis approach on big data analytic computation model for cloud data centre. Security and communication networks [online], 2021: security, trust and privacy for cloud, fog and Internet of Things, article ID 6688162. Available from: https://doi.org/10.1155/2021/6688162
Journal Article Type | Article |
---|---|
Acceptance Date | May 8, 2021 |
Online Publication Date | May 29, 2021 |
Publication Date | Jul 1, 2021 |
Deposit Date | Jan 30, 2023 |
Publicly Available Date | Jan 30, 2023 |
Journal | Security and Communication Networks |
Print ISSN | 1939-0114 |
Electronic ISSN | 1939-0122 |
Publisher | Hindawi |
Peer Reviewed | Peer Reviewed |
Volume | 2021 |
Article Number | 6688162 |
DOI | https://doi.org/10.1155/2021/6688162 |
Keywords | Cloud service provider (CSP); Energy cost; Data analytic weight measurement (DAWM); Multiobjective heuristic user service demand (MHUSD); User service demand (USD); Dynamic acyclic graph (DAG) |
Public URL | https://rgu-repository.worktribe.com/output/1867310 |
Files
MEKALA 2021 DAWN cost-aware (VOR)
(774 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
Copyright Statement
© 2021 M. S. Mekala et al.
You might also like
Efficient task optimization algorithm for green computing in cloud.
(2020)
Journal Article
Downloadable Citations
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search