Privacy-Integrity Aware Efficient Workflow Scheduler for Edge-Cloud Platform

Title

Privacy-Integrity Aware Efficient Workflow Scheduler for Edge-Cloud Platform

Creator

Pasha, Fairoz; Natarajan, Jayapandian

Description

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.

Source

Lecture Notes in Networks and Systems;Volume;1305 LNNS;pp.171-184

Date

01-01-2025

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Cloud computing; Edge-server; Integrity; Privacy; Scheduling; Scientific workflow; Security

Coverage

Pasha F., Department of Computer Science and Engineering, Christ University, Bangalore, India; Natarajan J., Department of Computer Science and Engineering, Christ University, Bangalore, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 23673370; ISBN: 978-981963724-9;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-96-3725-6_15

https://www.scopus.com/pages/publications/105011946503?origin=resultslist