This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
An Autonomic Approach to Enhance Web Application Availability
Hussam N. Fakhouri
The University of Jordan
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Autonomic computing is one of the fascinating features that enable the system to automatically manage itself, diagnose itself, detect the error that cause the failure, then recover and reconfigure the system. The concept of software, systems and web self healing is widely used in many software such as windows operating system which restores and recover tools. Since of the aim of the self healing software feature is to fast recover the application and keep running it and available for 24/7 as optimal as possible then it will a suitable to apply this capability to the web applications to fast recover from any unexpected change that may happen. This paper proposes a self-healing system that monitor, diagnose, check and heal web applications automatically and immediately with unnoticeable recovery time. To test the practical applicability of the proposed methodology, an application has been developed to demonstrate the methodology and apply it for real time web applications. The results of experiments performed on different scenarios demonstrated the ability of the proposed approach to heal web applications and to increase its availability.
Keywords
web applications, cloud applications, self-healing, auto restore, auto backup, autonomic computing, website availability
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 29 May, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Computer Architecture and Engineering
Learn more about our company.
This is a preprint. It has not completed peer review.
Research Article
An Autonomic Approach to Enhance Web Application Availability
Hussam N. Fakhouri
The University of Jordan
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 29 May, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Computer Architecture and Engineering
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Autonomic computing is one of the fascinating features that enable the system to automatically manage itself, diagnose itself, detect the error that cause the failure, then recover and reconfigure the system. The concept of software, systems and web self healing is widely used in many software such as windows operating system which restores and recover tools. Since of the aim of the self healing software feature is to fast recover the application and keep running it and available for 24/7 as optimal as possible then it will a suitable to apply this capability to the web applications to fast recover from any unexpected change that may happen. This paper proposes a self-healing system that monitor, diagnose, check and heal web applications automatically and immediately with unnoticeable recovery time. To test the practical applicability of the proposed methodology, an application has been developed to demonstrate the methodology and apply it for real time web applications. The results of experiments performed on different scenarios demonstrated the ability of the proposed approach to heal web applications and to increase its availability.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5