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  4. A virtual local-hub solution with function module sharing for wearable devices
 
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A virtual local-hub solution with function module sharing for wearable devices

Journal
19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
Pages
278-286
ISBN
9781450345026
Date Issued
2016
Author(s)
Lin H.-P.
Shih Y.-Y.
Pang A.-C.  
AI-CHUN PANG  
DOI
10.1145/2988287.2989150
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/413210
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007004675&doi=10.1145%2f2988287.2989150&partnerID=40&md5=b28663777d7948843c109710e35f8977
Abstract
Wearable devices, which are small electronic devices worn on a human body, are equipped with low level of processing and storage capacities and offer some types of integrated functionalities. Recently, wearable device is becoming increasingly popular, various kinds of wearable device are launched in the market; however, wearable devices require a powerful local-hub, most are smartphone, to replenish processing and storage capacities for advanced functionalities. Sometime it may be inconvenient to carry the local-hub (smartphone); thus, many wearable devices are equipped with Wi-Fi interface, enabling them to exchange data with local-hub though the Internet when the local-hub is not nearby. However, this results in long response time and restricted functionalities. In this paper, we present a virtual local-hub solution, which utilizes network equipment nearby (e.g., Wi-Fi APs) as the local-hub. Since migrating all applications serving the wearable devices respectively takes too much networking and storage resources, the proposed solution deploys function modules to multiple network nodes and enables remote function module sharing among different users and applications. To reduce the impact of the solution on the network bandwidth, we propose a heuristic algorithm for function module allocation with the objective of minimizing total bandwidth consumption. We conduct series of experiments, and the results show that the proposed solution can reduce the bandwidth consumption by up to half and still serve all requests given a large number of service requests. ? 2016 ACM.
Subjects
Edge computing
Fog computing
Local-hub
Virtualization
Wearable device
Type
conference paper

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To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

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