Efficient Provenance Management via Clustering and Hybrid Storage in Big Data Environments

2020 ◽  
Vol 6 (4) ◽  
pp. 792-803
Author(s):  
Die Hu ◽  
Dan Feng ◽  
Yulai Xie ◽  
Gongming Xu ◽  
Xinrui Gu ◽  
...  
Keyword(s):  
Big Data ◽  
Hybrid Storage ◽  
Provenance Management

A New Hybrid Storage System Base on Openstack

2014 ◽  
Vol 556-562 ◽  
pp. 5371-5376
Author(s):  
Ding Wei Wu ◽  
Qiang Wu ◽  
Xi Cheng Fu ◽  
Zhi Zhong Ye ◽  
Jia Lun Lin
Keyword(s):  
Big Data ◽  
Data Storage ◽  
High Performance ◽  
File System ◽  
Storage Systems ◽  
Low Cost ◽  
Storage System ◽  
Small Data ◽  
Hybrid Storage ◽  
Hybrid Storage System

In recent years, hybrid storage has gradually become a hotspot in the research of data storage owing to its high-performance and low cost. An OpenStack-based hybrid storage system is presented in this paper. According to the characteristics, the data is divided into small data, big data and temporary data in this hybrid storage system; meanwhile a storage strategy, combining database storage system, the virtual file system and servers file system, is designed. In the application of iCampus project, this proposed hybrid storage system shows better performance and higher efficiency than the traditional single storage systems.

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

“Big Data in Psychology: Methods and Applications”

2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  
Big Data

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org

When the Sample Is the Population: Big Data

PsycCRITIQUES ◽  
2014 ◽  
Vol 59 (2) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  
Big Data
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