Name
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2988287.2989150 | MSWiM |
Field | DocType | Citations |
Virtualization,Edge computing,Wearable computer,Computer science,Networking hardware,Node (networking),Computer network,Body area network,Wearable technology,Embedded system,The Internet | Conference | 1 |
PageRank | References | Authors |
0.35 | 17 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsin-Peng Lin | 1 | 12 | 1.57 |
| Yuan-Yao Shih | 2 | 109 | 9.67 |
| Ai-Chun Pang | 3 | 621 | 66.26 |
| Yuan-Yao Lou | 4 | 1 | 0.35 |