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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

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