Enhance Network Communications in a Cloud-Based Real-Time Health Analytics Platform Using SDN

Izaddoost, A; McGregor, C

Enhance Network Communications in a Cloud-Based Real-Time Health Analytics Platform Using SDN

Izaddoost, A McGregor, C

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings - 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016, 2016, pp. 388-391
Issue Date:: 2016-12-06

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Field	Value	Language
dc.contributor.author	Izaddoost, A
dc.contributor.author	McGregor, C https://orcid.org/0000-0002-0491-4403
dc.date	2016-10-04
dc.date.accessioned	2021-03-12T16:39:35Z
dc.date.available	2021-03-12T16:39:35Z
dc.date.issued	2016-12-06
dc.identifier.citation	Proceedings - 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016, 2016, pp. 388-391
dc.identifier.isbn	9781509061174
dc.identifier.uri	http://hdl.handle.net/10453/147081
dc.description.abstract	© 2016 IEEE. Transferring collected physiological data from health facilities to a cloud-based health analytical platform can be seen as an efficient and cost effective approach to provide clinical support to rural and remote healthcare centres from urban based specialists. A cloud-based healthcare platform will reduce the requirement of patient transfer due to lack of clinical experts or providing consultative support through the phone. However transferring physiological data streams through a data path with insufficient quality and unsatisfactory conditions may have negative performance impact on real-time data processing. To address this issue, we study the benefit of using software-defined networking (SDN) technology. SDN as an emerging networking paradigm, can be employed to manage and control network conditions and apply desired policies. This research introduces the significant features in SDN technology to transfer physiological data streams through an alternative path with a better quality rather than the congested predetermined shortest path in order to enhance data transfer reliability and improve real-time data processing quality.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	Proceedings - 2016 IEEE International Conference on Healthcare Informatics, ICHI 2016
dc.relation.ispartof	IEEE International Conference on Healthcare Informatics (ICHI)
dc.relation.isbasedon	10.1109/ICHI.2016.69
dc.rights	© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Enhance Network Communications in a Cloud-Based Real-Time Health Analytics Platform Using SDN
dc.type	Conference Proceeding
utslib.location.activity	Chicago, IL
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2021-03-12T16:39:33Z
pubs.finish-date	2016-10-07
pubs.publication-status	Published
pubs.start-date	2016-10-04

Abstract:

© 2016 IEEE. Transferring collected physiological data from health facilities to a cloud-based health analytical platform can be seen as an efficient and cost effective approach to provide clinical support to rural and remote healthcare centres from urban based specialists. A cloud-based healthcare platform will reduce the requirement of patient transfer due to lack of clinical experts or providing consultative support through the phone. However transferring physiological data streams through a data path with insufficient quality and unsatisfactory conditions may have negative performance impact on real-time data processing. To address this issue, we study the benefit of using software-defined networking (SDN) technology. SDN as an emerging networking paradigm, can be employed to manage and control network conditions and apply desired policies. This research introduces the significant features in SDN technology to transfer physiological data streams through an alternative path with a better quality rather than the congested predetermined shortest path in order to enhance data transfer reliability and improve real-time data processing quality.

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http://hdl.handle.net/10453/147081