@inproceedings{b62f1ae8eb62479b90bf42aa068de6b9,
title = "Resource pooling mechanism for mobile cloud computing service",
abstract = "Cloud computing services enable virtual services with physical resources consisting of workstations and clusters having storages, processes, and memories. Unlike general resources, mobile devices have such features as miniaturized hardware, embedded sensors, and touch screen. Furthermore, mobile devices have mobility and portability which are lacking in general workstations and clusters. Mobile cloud computing services organize physical resources with mobile devices which have low hardware performance and are sporadically connected to the network. Therefore, it is difficult to integrate resources if they are organized as in general cloud computing services. Resource pooling management is required to manage and provide the resources of mobile devices dynamically in an integrated manner and provide them to users without work loss. This research proposes Mobile Resource Integration-Manager (MRI-M) which checks and manages the resource status of mobile devices in mobile cloud computing services and considers the organization of resource pooling.",
keywords = "Cloud computing service, Mechanism, Mobile, Mobile cloud computing, Resource pool, Resource pooling",
author = "Han, {Seok Hyeon} and Kim, {Hyun Woo} and Jeong, {Young Sik}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 ; Conference date: 19-12-2016 Through 21-12-2016",
year = "2017",
doi = "10.1007/978-981-10-3023-9_26",
language = "English",
isbn = "9789811030222",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "160--165",
editor = "Vincenzo Loia and {Jong Hyuk Park}, {James J.} and Gangman Yi and Yi Pan",
booktitle = "Advances in Computer Science and Ubiquitous Computing - CSA-CUTE2016",
address = "Germany",
}