DocumentCode
625007
Title
Mobile Healthcare Systems with Multi-cloud Offloading
Author
Huaming Wu ; Qiushi Wang ; Wolter, Katinka
Author_Institution
Dept. of Math. & Comput. Sci., Free Univ. of Berlin, Berlin, Germany
Volume
2
fYear
2013
fDate
3-6 June 2013
Firstpage
188
Lastpage
193
Abstract
The fast growth of cloud computing has attracted more companies to migrate their in-house IT applications into cloud and it also occurs in the medical field. A mobile healthcare system with cloud offloading is considered in this paper and it can be divided into two stages: sensor network and cloud offloading. In the first stage, information collected by body sensors should be transmitted to a remote mobile device. In order to save energy, an energy-efficient transmission scheme called cooperative multi-input multi-output (MIMO) is constructed for the data transfer when allowing individual sensor nodes to cooperate with each other. In the second stage, two offloading schemes called self-reliant multi-cloud offloading system and multi-cloud offloading system are proposed and further analyzed based on serve topology and optimal graph partition. The former provides stability but with high communication cost, while the latter reduces communication cost but is less stable. Both schemes can be applied to other scenarios in which we would like to perform offloading on multiple servers.
Keywords
cloud computing; health care; mobile computing; MIMO; cloud computing; energy efficient transmission scheme; medical field; mobile healthcare systems; multi-input multi-output; multicloud offloading; multicloud offloading system; optimal graph partition; remote mobile device; sensor network; sensor nodes; Energy consumption; Medical services; Mobile communication; Mobile handsets; Network topology; Servers; Topology; cloud computing; cooperative MIMO; mobile healthcare; offloading; partition; sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Data Management (MDM), 2013 IEEE 14th International Conference on
Conference_Location
Milan
Print_ISBN
978-1-4673-6068-5
Type
conf
DOI
10.1109/MDM.2013.92
Filename
6569088
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