DocumentCode
243462
Title
Facility Information Management on HBase: Large-Scale Storage for Time-Series Data
Author
Ochiai, Hideya ; Ikegami, Hiroyuki ; Teranishi, Yuuichi ; Esaki, Hiroshi
fYear
2014
fDate
21-25 July 2014
Firstpage
306
Lastpage
311
Abstract
A very large number of sensors on facilities such as HVAC, light control systems and electric power meters, periodically submit their status information to Cloud platforms these days. As the amount of data can easily get petabyte scale, we must consider the use of distributed application layer storage for managing such facility information, which is often formatted on time-series data. This paper describes FIAP Storage Peta, petabyte scale storage for facility information access protocol (FIAP), proposing the architecture and the scheme of such data management on HBase. In this work, we have identified three requirements to the design of HBase row keys for implementing this storage using HBase. Though, we have not finished petabyte scale experiments, our preliminary evaluation results have shown good performance for managing large scale facility information. It has achieved scalable data retrieval on the data of 10 million sensors with properly balancing loads on distributed data storages.
Keywords
access protocols; cloud computing; distributed databases; facilities; information management; resource allocation; sensor fusion; storage management; time series; Cloud platform; FIAP Storage Peta; HBase row key design; HVAC; data management; distributed application layer storage; distributed data storage; electric power meters; facility information access protocol; facility information management; large-scale storage; light control systems; load balancing; petabyte scale storage; scalable data retrieval; status information; time-series data; Distributed databases; Educational institutions; Logic gates; Memory; Scalability; Sensors; Servers; HBase; Hadoop; Internet of Things; Time-Series Data;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International
Conference_Location
Vasteras
Type
conf
DOI
10.1109/COMPSACW.2014.54
Filename
6903147
Link To Document