NDLI: Cloudlet-based for big data collection in body area networks

Content Provider	IEEE Xplore Digital Library
Author	Quwaider, Muhannad Jararweh, Yaser
Copyright Year	2013
Description	Author affiliation: Department of Computer Engineering, Jordan University of Science and Technology, Irbid, Jordan (Quwaider, Muhannad) \|\| Department of Computer Science, Jordan University of Science and Technology, Irbid, Jordan (Jararweh, Yaser)
Abstract	This paper presents a large scale BANs system in the presence of cloudlet-based data collection. The objective is to minimize end-to-end packet cost by dynamically choosing data collection to the cloud using cloudlet based system. The goal is to have the monitored data of BANs to be available to the end user or to the service provider in reliable manner. While reducing packet-to-cloud energy, the proposed work also attempts to minimize the end-to-end packet delay by choosing dynamically a neighbor cloudlet, so that the overall delay is minimized. Then, it will lead to have the monitored data in the cloud in real time manner. Note that, in the absence of network congestions in low data-rate BANs, the storage delays due to data collection manner are usually much larger compared to the congestion delay.
Starting Page	137
Ending Page	141
File Size	684630
Page Count	5
File Format	PDF
ISBN	9781908320209
DOI	10.1109/ICITST.2013.6750178
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-09
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Infonomics Society
Subject Keyword	Big Data Collection Art Handheld computers Cloud Computing Linux Bandwidth Body Area Networks WiMAX Mobile communication Monitoring Cloudlet
Content Type	Text
Resource Type	Article

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