Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource DAWM: Cost-Aware Asset Claim Analysis Approach on Big Data Analytic Computation Model for Cloud Data Centre Description An account of the resource 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. 2021 M. S. Mekala et al. Creator An entity primarily responsible for making the resource Mekala M.S.; Patan R.; Islam S.K.H.; Samanta D.; Mallah G.A.; Chaudhry S.A. Source A related resource from which the described resource is derived Security and Communication Networks, Vol-2021 Publisher An entity responsible for making the resource available Hindawi Limited Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1155/2021/6688162" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2021/6688162</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107652607&amp;doi=10.1155%2F2021%2F6688162&amp;partnerID=40&amp;md5=c0eb6a1806ecdede2546f3c2a5c0266e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107652607&amp;doi=10.1155%2f2021%2f6688162&amp;partnerID=40&amp;md5=c0eb6a1806ecdede2546f3c2a5c0266e</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 19390114 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mekala M.S., Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, 38544, South Korea, RLRC for Autonomous Vehicle Parts and Materials Innovation, Yeungnam University, Gyeongsan, 38544, South Korea; Patan R., Department of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India; Islam S.K.H., Department of Computer Science and Engineering, Indian Institute of Information Technology, Kalyani, West Bengal, 741235, India; Samanta D., Department of Computer Science, CHRIST University, Bengaluru, 560029, India; Mallah G.A., Department of Computer Science, Shah Abdul Latif University, Khairpur, Sindh, 66020, Pakistan; Chaudhry S.A., Department of Computer Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim University, Avcilar, Istanbul, 34310, Turkey