A Cloud Database Service Approach to the Management of Sensor Data

被引：0
|
作者：
Cui, Zhenguo [1 ]
Jiang, Meilan [1 ]
Jeong, Karpjoo [2 ,3 ,5 ]
Kim, Bomchul [4 ]
机构：
[1] Konkuk Univ, Dept Adv Technol Fus, Seoul, South Korea
[2] Konkuk Univ, Dept Internet & Multimedia Engn, Seoul, South Korea
[3] Konkuk Univ, UBITA Ctr Ecoinformat, Seoul, South Korea
[4] Kongwon Natl Univ, Dept Environm Sci, Kangwon, South Africa
[5] Univ Calif San Diego, Qualcomm Inst, San Diego, CA USA
来源：
2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA) | 2014年
关键词：
Monitoring; Scientific Data Management; Data Model; Cloud Computing; Google App Engine;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The management of sensor data is challenging for most scientists or engineers. A cloud database service is a novel effective approach to such data management. In this paper, we presented a SaaS service that is based on a variant of the O&M model and implemented on Google App Engine. This system was applied for the management of sensor data from the water quality monitoring of the Soyang Lake.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] Database Management System as a Cloud Service
    Gelogo, Yvette E.
    Lee, Sunguk
    [J]. INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING, 2012, 5 (02): : 71 - 76
  • [2] Research and Implementation of Service Management in Cloud Database
    Yu, Tao
    [J]. PROCEEDINGS OF THE 2016 2ND WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS, 2016, 81 : 227 - 230
  • [3] Optimal Data Center Scheduling for Quality of Service Management in Sensor-Cloud
    Chatterjee, Subarna
    Misra, Sudip
    Khan, Samee U.
    [J]. IEEE TRANSACTIONS ON CLOUD COMPUTING, 2019, 7 (01) : 89 - 101
  • [4] Internet of Things as a Service (iTaaS): Challenges and solutions for management of sensor data on the cloud and the fog
    Petrakis, Euripides G. M.
    Sotiriadis, Stelios
    Soultanopoulos, Theodoros
    Renta, Pelagia Tsiachri
    Buyya, Rajkumar
    Bessis, Nik
    [J]. INTERNET OF THINGS, 2018, 3-4 : 156 - 174
  • [5] A New Approach to Disaster Recovery as a Service over Cloud for Database system
    Saquib, Zia
    Tyagi, Veena
    Bokare, Shreya
    Dongawe, Shivraj
    Dwivedi, Monika
    Dwivedi, Jayati
    [J]. 2013 15TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING TECHNOLOGIES (ICACT), 2013,
  • [6] Sensor data management in the cloud: Data storage, data ingestion, and data retrieval
    Sangat, Prajwol
    Indrawan-Santiago, Maria
    Taniar, David
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2018, 30 (01):
  • [7] Secure Sensor Data Management Model in a Sensor - Cloud Integration Environment
    Saha, Sayantani
    [J]. INTERNATIONAL CONFERENCE ON 2015 APPLICATIONS AND INNOVATIONS IN MOBILE COMPUTING (AIMOC), 2015, : 158 - 163
  • [8] Secure Data Management Service on Cloud Computing Infrastructures
    Agrawal, Divyakant
    El Abbadi, Amr
    Emekci, Fatih
    Metwally, Ahmed
    Wang, Shiyuan
    [J]. NEW FRONTIERS IN INFORMATION AND SOFTWARE AS SERVICES: SERVICE AND APPLICATION DESIGN CHALLENGES IN THE CLOUD, 2011, 74 : 57 - +
  • [9] Model-View Sensor Data Management in the Cloud
    Guo, Tian
    Papaioannou, Thanasis G.
    Aberer, Karl
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2013,
  • [10] Cloud-based Disaster Management as a Service: A Microservice Approach for Hurricane Twitter Data Analysis
    Khaleq, Abeer Abdel
    Ra, Ilkyeun
    [J]. 2018 IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC), 2018,
12345