Fault-Tolerant and Data-Intensive Resource Scheduling and Management for Scientific Applications in Cloud Computing

Fault-Tolerant and Data-Intensive Resource Scheduling and Management for Scientific Applications in Cloud Computing

Cloud computing is a fully fledged, matured and flexible computing paradigm that provides services to scientific and business applications in a subscription-based environment. Scientific applications such as Montage and CyberShake are organized scientific workflows with data and compute-intensive ta...

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Bibliographic Details
Main Authors: Zulfiqar Ahmad, Ali Imran Jehangiri, Mohammed Alaa Ala’anzy, Mohamed Othman, Arif Iqbal Umar
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
scientific workflows
scheduling
fault-tolerant
Montage
clustering
Online Access:https://www.mdpi.com/1424-8220/21/21/7238

Internet

https://www.mdpi.com/1424-8220/21/21/7238

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