Machine Learning Failure-Aware Scheme for Profit Maximization in the Cloud Market

Bashar Igried, Atalla Fahed Al-Serhan, Ayoub Alsarhan, Mohammad Aljaidi () and Amjad Aldweesh ()
Additional contact information
Bashar Igried: Department of Computer Science and Applications, Faculty of Prince Al-Hussein Bin Abdallah II for Information Technology, The Hashemite University, Zarqa 13133, Jordan
Atalla Fahed Al-Serhan: Department of Business Administration, Al-Bayt University, Al-Mafraq 25113, Jordan
Ayoub Alsarhan: Department of Information Technology, Faculty of Prince Al-Hussein Bin Abdallah II for Information Technology, The Hashemite University, Zarqa 13133, Jordan
Mohammad Aljaidi: Department of Computer Science, Zarqa University, Zarqa 13110, Jordan
Amjad Aldweesh: College of Computing and Information Technology, Shaqra University, Riyadh 11911, Saudi Arabia

Future Internet, 2022, vol. 15, issue 1, 1-11

Abstract: A successful cloud trading system requires suitable financial incentives for all parties involved. Cloud providers in the cloud market provide computing services to clients in order to perform their tasks and earn extra money. Unfortunately, the applications in the cloud are prone to failure for several reasons. Cloud service providers are responsible for managing the availability of scheduled computing tasks in order to provide high-level quality of service for their customers. However, the cloud market is extremely heterogeneous and distributed, making resource management a challenging problem. Protecting tasks against failure is a challenging and non-trivial mission due to the dynamic, heterogeneous, and largely distributed structure of the cloud environment. The existing works in the literature focus on task failure prediction and neglect the remedial (post) actions. To address these challenges, this paper suggests a fault-tolerant resource management scheme for the cloud computing market in which the optimal amount of computing resources is extracted at each system epoch to replace failed machines. When a cloud service provider detects a malfunctioning machine, they transfer the associated work to new machinery.

Keywords: cloud market; fault tolerance; task failure (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/15/1/1/pdf (application/pdf)
https://www.mdpi.com/1999-5903/15/1/1/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:15:y:2022:i:1:p:1-:d:1008919

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().