Fog Computing Based Recovery Model for Reliable E-Healthcare Services
Download| Volume 4 Issue 1 2023 | |
|---|---|
| Author(s): |
Humaiz Shaikh humaiz_shaikh@hotmail.com Muhammad Yaqoob Koondhar yaqoobkoondhar@sau.edu.pk Ali Raza alirazarang@gmail.com Zulfikar Ahmed Maher zamaher@gmail.com Asadullah Shah asadullah@iium.edu.my |
| Abstract | Fog computing is an architecture that extends traditionally centralized cloud computing functions to the edge and close to where data is generated from the Internet of Things (IoT) network, saving the cloud bandwidth and reducing the processing time required. Urgent data generated from Internet of Things (IoT) devices such as data on health intensive care, data on disaster detection or some critical business data need to be processed quickly to obtain real-time notification and then take appropriate action. However, it is necessary to ensure continuity of operation for these systems even in the event of a network failure, which is an issue not yet well addressed in the literature. In this regard, the purpose of this paper is to explore and evaluate the current techniques used in the context of fog computing for failure recovery and to propose a fog based recovery model using a replication technique to ensure the reliability of time-sensitive healthcare systems. The suggested design will be tested using a simulator. |
| Keywords | Fog Computing, Node Failure, Failure Recovery, Service Reliability, E-healthcare |
| Year | 2023 |
| Volume | 4 |
| Issue | 1 |
| Type | Research paper, manuscript, article |
| Recognized by | Higher Education Commission of Pakistan, HEC | Category | Journal Name | ILMA Journal of Technology & Software Management | Publisher Name | ILMA University | Jel Classification | -- | DOI | - | ISSN no (E, Electronic) | 2790-590X | ISSN no (P, Print) | 2709-2240 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://ijtsm.ilmauniversity.edu.pk/arc/Vol4/i1/2.pdf | Page |