A framework for massive data transmission in a remote real-time health monitoring system

Surong Chen; Xiaohui Zhu; Sijing Zhang; Jiehua Wang

A framework for massive data transmission in a remote real-time health monitoring system

Surong Chen^*
, Xiaohui Zhu
, Sijing Zhang
, Jiehua Wang

^*Corresponding author for this work

Nantong University
University of Bedfordshire

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

11 Citations (Scopus)

Abstract

A great progress has been made in the past few years on remotely monitoring human health in real-time through the micro sensor. With the assurance of the reliability and security for the two-way data transmission between the sensor and the data center, it is important to solve the problem of concurrent transmission for massive data. This paper presents an effective solution for highly concurrent transmission of massive physiological data by using the dynamic server IP address binding, resource utilization based priority scheduling, NAS storage and RAC technology. The effectiveness of the proposed solution is demonstrated through an experimental application.

Original language	English
Title of host publication	ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing
Subtitle of host publication	Integration of Design and Engineering
Pages	296-300
Number of pages	5
Publication status	Published - 2012
Externally published	Yes
Event	18th International Conference on Automation and Computing, ICAC 2012 - Loughborough, Leicestershire, United Kingdom Duration: 7 Sept 2012 → 8 Sept 2012

Publication series

Name	ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering

Conference

Conference	18th International Conference on Automation and Computing, ICAC 2012
Country/Territory	United Kingdom
City	Loughborough, Leicestershire
Period	7/09/12 → 8/09/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

IOCP protocol
Massive data transmission
eHealth
priority scheduling algorithm
resource utilisation ratio
server cluster

Cite this

Chen, S., Zhu, X., Zhang, S., & Wang, J. (2012). A framework for massive data transmission in a remote real-time health monitoring system. In ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering (pp. 296-300). Article 6330525 (ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering).

Chen, Surong ; Zhu, Xiaohui ; Zhang, Sijing et al. / A framework for massive data transmission in a remote real-time health monitoring system. ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering. 2012. pp. 296-300 (ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering).

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title = "A framework for massive data transmission in a remote real-time health monitoring system",

abstract = "A great progress has been made in the past few years on remotely monitoring human health in real-time through the micro sensor. With the assurance of the reliability and security for the two-way data transmission between the sensor and the data center, it is important to solve the problem of concurrent transmission for massive data. This paper presents an effective solution for highly concurrent transmission of massive physiological data by using the dynamic server IP address binding, resource utilization based priority scheduling, NAS storage and RAC technology. The effectiveness of the proposed solution is demonstrated through an experimental application.",

keywords = "IOCP protocol, Massive data transmission, eHealth, priority scheduling algorithm, resource utilisation ratio, server cluster",

author = "Surong Chen and Xiaohui Zhu and Sijing Zhang and Jiehua Wang",

year = "2012",

language = "English",

isbn = "9781908549006",

series = "ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering",

pages = "296--300",

booktitle = "ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing",

note = "18th International Conference on Automation and Computing, ICAC 2012 ; Conference date: 07-09-2012 Through 08-09-2012",

}

Chen, S, Zhu, X, Zhang, S & Wang, J 2012, A framework for massive data transmission in a remote real-time health monitoring system. in ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering., 6330525, ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering, pp. 296-300, 18th International Conference on Automation and Computing, ICAC 2012, Loughborough, Leicestershire, United Kingdom, 7/09/12.

A framework for massive data transmission in a remote real-time health monitoring system. / Chen, Surong; Zhu, Xiaohui; Zhang, Sijing et al.
ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering. 2012. p. 296-300 6330525 (ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - A framework for massive data transmission in a remote real-time health monitoring system

AU - Chen, Surong

AU - Zhu, Xiaohui

AU - Zhang, Sijing

AU - Wang, Jiehua

PY - 2012

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N2 - A great progress has been made in the past few years on remotely monitoring human health in real-time through the micro sensor. With the assurance of the reliability and security for the two-way data transmission between the sensor and the data center, it is important to solve the problem of concurrent transmission for massive data. This paper presents an effective solution for highly concurrent transmission of massive physiological data by using the dynamic server IP address binding, resource utilization based priority scheduling, NAS storage and RAC technology. The effectiveness of the proposed solution is demonstrated through an experimental application.

AB - A great progress has been made in the past few years on remotely monitoring human health in real-time through the micro sensor. With the assurance of the reliability and security for the two-way data transmission between the sensor and the data center, it is important to solve the problem of concurrent transmission for massive data. This paper presents an effective solution for highly concurrent transmission of massive physiological data by using the dynamic server IP address binding, resource utilization based priority scheduling, NAS storage and RAC technology. The effectiveness of the proposed solution is demonstrated through an experimental application.

KW - IOCP protocol

KW - Massive data transmission

KW - eHealth

KW - priority scheduling algorithm

KW - resource utilisation ratio

KW - server cluster

UR - https://www.scopus.com/pages/publications/84869402409

M3 - Conference Proceeding

AN - SCOPUS:84869402409

SN - 9781908549006

T3 - ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering

SP - 296

EP - 300

BT - ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing

T2 - 18th International Conference on Automation and Computing, ICAC 2012

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ER -

Chen S, Zhu X, Zhang S, Wang J. A framework for massive data transmission in a remote real-time health monitoring system. In ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering. 2012. p. 296-300. 6330525. (ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering).

A framework for massive data transmission in a remote real-time health monitoring system

Abstract

Publication series

Conference

UN SDGs

Keywords

Other files and links

Cite this