Smart Distribution of Bio-Signal Processing Tasks in M-health

H. Mei

doi:10.1007/978-3-540-76888-3_50

Smart Distribution of Bio-Signal Processing Tasks in M-health

H. Mei

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

The past few years have witnessed a rapid advancement of mobile healthcare systems. However, in the mobile computing environment, the resource fluctuations, stringent application requirements and user mobility have severely hindered the performance and reliability of the healthcare service delivery. The current approaches to solve this resource supply and service demand mismatch problem either limit the adaptation to an isolated node or require significant user's involvement. Given the distributed processing paradigm of m-health system, we propose that a new adaptation approach could be dynamically redistributing processing tasks across distributed nodes. This PhD research ad-dresses two main issues to validate this approach: (1) computation of a suitable assignment of tasks at compile-time or run-time; and (2) dynamic distribution of tasks across the nodes according to this new assignment at run-time.

Original language	Undefined
Title of host publication	On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops
Publisher	Springer
Pages	284-293
Number of pages	10
ISBN (Print)	978-3-540-76887-6
DOIs	https://doi.org/10.1007/978-3-540-76888-3_50
Publication status	Published - 22 Nov 2007
Event	On the Move to Meaningful Internet Systems: OTM 2007 Workshops - Catania, Sicily, Italy, Vilamoura, Portugal Duration: 25 Nov 2007 → 30 Nov 2007

Publication series

Name	Lecture Notes in Computer Science 4805
Publisher	Springer Verlag
Number	67310A

Conference

Conference	On the Move to Meaningful Internet Systems: OTM 2007 Workshops
Abbreviated title	OTM 2007
Country	Portugal
City	Vilamoura
Period	25/11/07 → 30/11/07

Keywords

EWI-11643
METIS-245896
IR-62084

Access to Document

10.1007/978-3-540-76888-3_50

http://eprints.eemcs.utwente.nl/secure2/11643/01/Smart_Distribution_of_BioSignal_Processing_Tasks_in_M_health.pdf

Cite this

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title = "Smart Distribution of Bio-Signal Processing Tasks in M-health",

abstract = "The past few years have witnessed a rapid advancement of mobile healthcare systems. However, in the mobile computing environment, the resource fluctuations, stringent application requirements and user mobility have severely hindered the performance and reliability of the healthcare service delivery. The current approaches to solve this resource supply and service demand mismatch problem either limit the adaptation to an isolated node or require significant user's involvement. Given the distributed processing paradigm of m-health system, we propose that a new adaptation approach could be dynamically redistributing processing tasks across distributed nodes. This PhD research ad-dresses two main issues to validate this approach: (1) computation of a suitable assignment of tasks at compile-time or run-time; and (2) dynamic distribution of tasks across the nodes according to this new assignment at run-time.",

keywords = "EWI-11643, METIS-245896, IR-62084",

author = "H. Mei",

note = "10.1007/978-3-540-76888-3_50 ; null ; Conference date: 25-11-2007 Through 30-11-2007",

year = "2007",

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language = "Undefined",

isbn = "978-3-540-76887-6",

series = "Lecture Notes in Computer Science 4805",

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Mei, H 2007, Smart Distribution of Bio-Signal Processing Tasks in M-health. in On the Move to Meaningful Internet Systems 2007: OTM 2007 Workshops., 10.1007/978-3-540-76888-3_50, Lecture Notes in Computer Science 4805, no. 67310A, Springer, pp. 284-293, On the Move to Meaningful Internet Systems: OTM 2007 Workshops, Vilamoura, Portugal, 25/11/07. https://doi.org/10.1007/978-3-540-76888-3_50

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N2 - The past few years have witnessed a rapid advancement of mobile healthcare systems. However, in the mobile computing environment, the resource fluctuations, stringent application requirements and user mobility have severely hindered the performance and reliability of the healthcare service delivery. The current approaches to solve this resource supply and service demand mismatch problem either limit the adaptation to an isolated node or require significant user's involvement. Given the distributed processing paradigm of m-health system, we propose that a new adaptation approach could be dynamically redistributing processing tasks across distributed nodes. This PhD research ad-dresses two main issues to validate this approach: (1) computation of a suitable assignment of tasks at compile-time or run-time; and (2) dynamic distribution of tasks across the nodes according to this new assignment at run-time.

AB - The past few years have witnessed a rapid advancement of mobile healthcare systems. However, in the mobile computing environment, the resource fluctuations, stringent application requirements and user mobility have severely hindered the performance and reliability of the healthcare service delivery. The current approaches to solve this resource supply and service demand mismatch problem either limit the adaptation to an isolated node or require significant user's involvement. Given the distributed processing paradigm of m-health system, we propose that a new adaptation approach could be dynamically redistributing processing tasks across distributed nodes. This PhD research ad-dresses two main issues to validate this approach: (1) computation of a suitable assignment of tasks at compile-time or run-time; and (2) dynamic distribution of tasks across the nodes according to this new assignment at run-time.

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