أعرض في EDS

Replication-Based Dynamic Energy-Aware Resource Provisioning for Scientific Workflows

التفاصيل البيبلوغرافية
العنوان: Replication-Based Dynamic Energy-Aware Resource Provisioning for Scientific Workflows
المؤلفون: Mohammed Alaa Ala’anzy, Mohamed Othman, Emad Mohammed Ibbini, Odai Enaizan, Mazen Farid, Yousef A. Alsaaidah, Zulfiqar Ahmad, Rania M. Ghoniem
المصدر: Applied Sciences
Volume 13
Issue 4
Pages: 2644
بيانات النشر: Multidisciplinary Digital Publishing Institute, 2023.
سنة النشر: 2023
مصطلحات موضوعية: Fluid Flow and Transfer Processes, replication, resource provisioning, Process Chemistry and Technology, cloud computing, CyberShake, General Engineering, General Materials Science, scientific workflow, Instrumentation, Montage, Computer Science Applications
الوصف: Distributed computing services in cloud environments are easily accessible to end users. These services are delivered to end users via a subscription-based model. The “infrastructure as a service” (IaaS) cloud model is one of the best cloud environment models for running data- and computing-intensive applications. Real-world scientific applications are the best examples of data and computing intensiveness. For their implementation, scientific workflow applications need high-performance computational resources and a large volume of storage. The workflow tasks are linked based on computational and data interdependence. Considering the high volume and variety of scientific workflows (SWs), the resources of the IaaS cloud model require managing energy efficiently and without failure or loss. Therefore, in order to address the issues of power consumption and task failure for real-world SWs, this research work proposes a replication-based dynamic energy-aware resource provisioning (R-DEAR) strategy for SWs in an IaaS cloud environment. The proposed strategy, R-DEAR, is a resource- and service-provisioning strategy that implements a replication-based fault-tolerant and load-balancing mechanism. The proposed R-DEAR strategy schedules the tasks of a scientific workflow with a replication-based fault-tolerant mechanism. The proposed R-DEAR strategy also manages the power consumption of IaaS cloud resources dynamically through a load-sharing process. Simulation results show that the proposed R-DEAR strategy reduces energy consumption, execution cost, and execution time by 9%, 15%, and 18%, respectively, as compared with the existing state-of-the-art strategy.
وصف الملف: application/pdf
اللغة: English
تدمد: 2076-3417
DOI: 10.3390/app13042644
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678cfb11e9050e2f205d0eca6d8c76fc
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....678cfb11e9050e2f205d0eca6d8c76fc
قاعدة البيانات: OpenAIRE
الوصف
تدمد:20763417
DOI:10.3390/app13042644