International Conference on Platform Technology and Service (PlatCon) 2015, pp.1-2
Publisher
IEEE
Language
English
Type
Conference Paper
Abstract
The Internet of Things (IoT) is posing new challenges and opportunities for data management and analysis techniques. One of the major problems is how to handle an increasing amount of data, with a variety of data types and data sources, in order to meet applicationspecific performance requirements. In this paper, we designed and implemented mobile cloud storage for collecting IoT sensor data with wireless communication function and cloud server for more efficient collect of IoT sensor data. Our platform can store and management all IoT sensor data so public IoT device can select sensor data with various conditions such as sensor type, time-based and location based like integrated mobile cloud storage. With the flood of diverse IoT sensors, much more information can be obtained than from existing smart phones. It will be possible to draw significant number of meaningful information by digitizing it. Thus, how to collect and store enormous information should be considered.
KSP Keywords
Cloud server, Communication function, Data Management, Data type, IoT devices, Location Based, Meaningful information, Mobile cloud storage, Public IoT, Smart Phone, Time Based
Copyright Policy
ETRI KSP Copyright Policy
The materials provided on this website are subject to copyrights owned by ETRI and protected by the Copyright Act. Any reproduction, modification, or distribution, in whole or in part, requires the prior explicit approval of ETRI. However, under Article 24.2 of the Copyright Act, the materials may be freely used provided the user complies with the following terms:
The materials to be used must have attached a Korea Open Government License (KOGL) Type 4 symbol, which is similar to CC-BY-NC-ND (Creative Commons Attribution Non-Commercial No Derivatives License). Users are free to use the materials only for non-commercial purposes, provided that original works are properly cited and that no alterations, modifications, or changes to such works is made. This website may contain materials for which ETRI does not hold full copyright or for which ETRI shares copyright in conjunction with other third parties. Without explicit permission, any use of such materials without KOGL indication is strictly prohibited and will constitute an infringement of the copyright of ETRI or of the relevant copyright holders.
J. Kim et. al, "Trends in Lightweight Kernel for Many core Based High-Performance Computing", Electronics and Telecommunications Trends. Vol. 32, No. 4, 2017, KOGL Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition
J. Sim et.al, “the Fourth Industrial Revolution and ICT – IDX Strategy for leading the Fourth Industrial Revolution”, ETRI Insight, 2017, KOGL Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition
If you have any questions or concerns about these terms of use, or if you would like to request permission to use any material on this website, please feel free to contact us
KOGL Type 4:(Source Indication + Commercial Use Prohibition+Change Prohibition)
Contact ETRI, Research Information Service Section
Privacy Policy
ETRI KSP Privacy Policy
ETRI does not collect personal information from external users who access our Knowledge Sharing Platform (KSP). Unathorized automated collection of researcher information from our platform without ETRI's consent is strictly prohibited.
[Researcher Information Disclosure] ETRI publicly shares specific researcher information related to research outcomes, including the researcher's name, department, work email, and work phone number.
※ ETRI does not share employee photographs with external users without the explicit consent of the researcher. If a researcher provides consent, their photograph may be displayed on the KSP.