scholarly journals Design and Performance Evaluation of Mobile Personal Big Data Management System based on ICN

2020 ◽  
Author(s):  
Lijun Chen ◽  
Luca Sciullo ◽  
Angelo Trotta
2014 ◽  
Vol 631-632 ◽  
pp. 1033-1038 ◽  
Author(s):  
Tao Xu ◽  
Ge Fu ◽  
Huai Yuan Tan ◽  
Hong Zhang ◽  
Xin Ran Liu

We design a structured big data management system which can deal with large-scale structured datasets and supports the cross-domain collaborative query. The system employs the HDFS as the storage layer. And it realizes a scheduling engine in reference with the splitting technology of the massive parallel processing (MPP) database. Using this engine, tasks can be split and distributed to different sub-nodes for parallel execution. Through cross-domain querymodule, users can execute SQL commands on the datasets of different datacenters or network domains. Meanwhile, the system supports the distributed deployment, so as to reduce the construction cost by making full use of existing software and hardware resources and equipments. We test the system functions and performance on a 80 nodes cluster, and compares with Hive. The result suggested that system performance is improved by 2-3 times than Hive and the function designed can be performed correctly.


2019 ◽  
Vol 5 (1) ◽  
pp. 4-17 ◽  
Author(s):  
Qingchao Cai ◽  
Hao Zhang ◽  
Wentian Guo ◽  
Gang Chen ◽  
Beng Chin Ooi ◽  
...  

1979 ◽  
Vol 18 (04) ◽  
pp. 199-202 ◽  
Author(s):  
F. Lustman ◽  
P. Lanthier ◽  
D. Charbonneau

A patient-oriented data management system is described. The environment was cardiology with a heavy emphasis on research and the MEDIC system was designed to meet the day to day program needs. The data are organized in speciality files with dynamic patient records composed of subrecords of different types. The schema is described by a data definition language. Application packages include data quality control, medical reporting and general inquiry.After five years of extensive use in various clinical applications, its utility has been assessed as well as its low cost. The disadvantages, the main being the multifile structure, can now be stated as its advantages, like data independence and performance increase. Although the system is now partially outdated, the experience acquired with its use becomes very helpful in the selection process of the future database management system.


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