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 Faculty Publications Conference Paper Faculty Publications- Conference Papers 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/. Creator An entity primarily responsible for making the resource Pasha, Fairoz; Natarajan, Jayapandian Title A name given to the resource Privacy-Integrity Aware Efficient Workflow Scheduler for Edge-Cloud Platform Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1305 LNNS;pp.171-184 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-3725-6_15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-3725-6_15</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105011946503?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105011946503?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pasha F., Department of Computer Science and Engineering, Christ University, Bangalore, India; Natarajan J., Department of Computer Science and Engineering, Christ University, Bangalore, India Description An account of the resource Scientific workflow execution in edge-cloud platform have attained in-creased attention, due to reduction in overall makespan assuring workflow deadlines. The workflow task is composed of diverse subtasks which are either executed in edge and the cloud; they are prone to security risk. Any loss of security breach will result to privacy and data integrity issues. Thus, providing security and meeting workflow execution strict deadlines becomes extremely difficult. The current workflow scheduling methods failed to assure both privacy and integrity together under edge-cloud computing platform. In addressing the research security and efficiency issues, this article introduced a novel approach namely Privacy-Integrity Aware Efficient Workflow Scheduler (PIAEWS) for edge-cloud platform. The PIAEWS introduces a novel trust metrics to assure only authenticated node takes part communication and consensus model to assure data integrity without compromising on user privacy constraint. The PIAEWS improves makespan and reduces overall energy consumption by assuring both security and performance together when executing genome sequencing workflow application in edge-cloud platform. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Cloud computing; Edge-server; Integrity; Privacy; Scheduling; Scientific workflow; Security Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981963724-9; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online