TY - JOUR
T1 - Human-centric storage resource mechanism for big data on cloud service architecture
AU - Kim, Hyun Woo
AU - Park, Jong Hyuk
AU - Jeong, Young Sik
N1 - Publisher Copyright:
© 2015, Springer Science+Business Media New York.
PY - 2016/7/1
Y1 - 2016/7/1
N2 - With the rapid advancement of information technology in recent years, significant research addressing the efficient storage of big data has been conducted. Traditionally, big data with media-driven service have simply implied extensive amounts of data. However, this definition has evolved to include the extraction of values, analysis, and the prediction of results from a vast volume of unstructured and varied datasets. Because of the explosive growth of computer processing technologies, the creation of big data has originated from unstructured data, text data, image data, and location data created by a variety of digital devices. Classically, the storage of big data has been administered by companies that provide storage services or by specialized storage companies. Significant cost is incurred to store big data efficiently and maintain sufficient storage requirements, which increase continuously. In this paper, a human-centric Resource-Integrated System for Big Data (RISBD) is proposed that utilizes the resources of legacy desktop computers for big data storage to future communication. This is advantageous in terms of the cost of implementing a new storage system. Furthermore, it provides high storage scalability because it is an XML-based standard storage integration system developed using software.
AB - With the rapid advancement of information technology in recent years, significant research addressing the efficient storage of big data has been conducted. Traditionally, big data with media-driven service have simply implied extensive amounts of data. However, this definition has evolved to include the extraction of values, analysis, and the prediction of results from a vast volume of unstructured and varied datasets. Because of the explosive growth of computer processing technologies, the creation of big data has originated from unstructured data, text data, image data, and location data created by a variety of digital devices. Classically, the storage of big data has been administered by companies that provide storage services or by specialized storage companies. Significant cost is incurred to store big data efficiently and maintain sufficient storage requirements, which increase continuously. In this paper, a human-centric Resource-Integrated System for Big Data (RISBD) is proposed that utilizes the resources of legacy desktop computers for big data storage to future communication. This is advantageous in terms of the cost of implementing a new storage system. Furthermore, it provides high storage scalability because it is an XML-based standard storage integration system developed using software.
KW - Big data storage
KW - Distributed file system
KW - Fault tolerance
KW - Human-centric resource management
KW - Legacy desktop computer
KW - Media-driven service
KW - Resource-integrated mechanism
UR - http://www.scopus.com/inward/record.url?scp=84922617215&partnerID=8YFLogxK
U2 - 10.1007/s11227-015-1390-3
DO - 10.1007/s11227-015-1390-3
M3 - Article
AN - SCOPUS:84922617215
SN - 0920-8542
VL - 72
SP - 2437
EP - 2452
JO - Journal of Supercomputing
JF - Journal of Supercomputing
IS - 7
ER -