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A distributed multi-agents architecture for self healing healthcare data center
- Source :
- 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- The availability of Healthcare Data Center (HDC) from network or machine failures has led to the appearance of new approaches to self healing data centres. Modern data centers looking to ensure the reliability of Distributed Computing Systems (DCS) in the most critical era. Also, modern HDC need to provide highest reliability infrastructure for all distribution critical jobs and data sources including electronic health records, electronic medical records and IoT. Redundancy is the traditional technique that improves the reliability of DCS among HDC. Inherently, redundancy is a very expensive approach in terms of hardware and software resources. In this context, this paper presents an Enhanced MapReduce Agent Mobility (EMRAM) framework to maximize reliability of DCSs among HDC without redundancy. The proposed framework migrating tasks to the available machines in the in HDC when identifying unhampered machine failure. Some practical experiments are performed to evaluate the proposed (EMRAM) framework by considering different scenarios. The obtained results are compared with the most recent frameworks showing a relatively better performance and higher reliability than other recent frameworks.
Details
- Database :
- OpenAIRE
- Journal :
- 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS)
- Accession number :
- edsair.doi...........4de0c881fadc9985f3635296cfe92efd
- Full Text :
- https://doi.org/10.1109/icetas.2017.8277886