Paper Info
Title
Mobile Healthcare Systems with Multi-cloud Offloading
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.
Year
DOI
Venue
2013
10.1109/MDM.2013.92
MDM (2)
Keywords
Field
DocType
offloading scheme,communication cost,body sensor,multi-cloud offloading,remote mobile device,cloud computing,multi-cloud offloading system,mobile healthcare system,cloud offloading,mobile healthcare systems,high communication cost,individual sensor node,mobile computing,sensor network,topology,health care,mimo,network topology,servers,partition,mobile communication
Mobile computing,Computer science,Server,Computer network,Network topology,Small cell,Wireless sensor network,Cooperative MIMO,Mobile telephony,Cloud computing,Distributed computing
Conference
Citations 
PageRank 
References 
7
0.41
6
Authors
3
Name
Order
Citations
PageRank
Huaming Wu18114.49
Qiushi Wang2588.32
Katinka Wolter338344.10