dc.contributor | 資訊管理學系 | zh_Tw |
dc.creator (作者) | Chen, Jinjie;Yu, Fang | en_US |
dc.creator (作者) | 郁方 | zh_TW |
dc.date (日期) | 2017-01 | en_US |
dc.date.accessioned | 3-八月-2017 14:16:17 (UTC+8) | - |
dc.date.available | 3-八月-2017 14:16:17 (UTC+8) | - |
dc.date.issued (上傳時間) | 3-八月-2017 14:16:17 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/111630 | - |
dc.description.abstract (摘要) | Along with the clipping evolution of technology, the bud of smartphone has germinated and sprang up in this decade. The increasing popularity and the improving computation and communication power of smart mobile devices facilitates shared economics of ubiquitous mobile computation. We present the design and implementation of Gnafuy, a framework utilizing crowd-smartphones to fulfill ubiquitous distributed computation, offering a novel crowd-based computation service platform and programmable APIs for developers to take leverage of the spare capacity of smartphones among the world. We discuss programming models of parallel computation, detail how tasks can be deployed on massive smartphones via mobile applications, and propose a server side mechanism to increase the probability of successful delivery and detect the corrupt results from the viciously slaves. The demonstration on google scholar paper reference construction solicits smartphone users to solve the image recognition challenged by reCAPTCHA, showing the unique advantage of leveraging crowd-sourcing ability to distributed mobile computation. © 2016 IEEE. | en_US |
dc.format.extent | 206 bytes | - |
dc.format.mimetype | text/html | - |
dc.relation (關聯) | IEEE International Conference on Cloud Computing, CLOUD, , 810-813 | en_US |
dc.relation (關聯) | 9th International Conference on Cloud Computing, CLOUD 2016; San Francisco; United States; 27 June 2016 到 2 July 2016; 類別編號E5886; 代碼 126061 | en_US |
dc.title (題名) | Gnafuy: A framework for ubiquitous mobile computation | en_US |
dc.type (資料類型) | conference | |
dc.identifier.doi (DOI) | 10.1109/CLOUD.2016.111 | |
dc.doi.uri (DOI) | http://dx.doi.org/10.1109/CLOUD.2016.111 | |