A High-performance Tiered Storage System for a Global Spectrum Observatory Network

Ryan Attard; Juha Kalliovaara; Tanim Taher; Jesse Taylor; Jarkko Paavola; Reijo Ekman; Dennis Roberson

9th International Conference on Cognitive Radio Oriented Wireless Networks

Research Article

A High-performance Tiered Storage System for a Global Spectrum Observatory Network

Download837 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.crowncom.2014.255740,
    author={Ryan Attard and Juha Kalliovaara and Tanim Taher and Jesse Taylor and Jarkko Paavola and Reijo Ekman and Dennis Roberson},
    title={A High-performance Tiered Storage System for a Global Spectrum Observatory Network},
    proceedings={9th International Conference on Cognitive Radio Oriented Wireless Networks},
    publisher={IEEE},
    proceedings_a={CROWNCOM},
    year={2014},
    month={7},
    keywords={big data database dynamic spectrum sharing spectrum occupancy measurements spectrum usage trends},
    doi={10.4108/icst.crowncom.2014.255740}
}

Ryan Attard
Juha Kalliovaara
Tanim Taher
Jesse Taylor
Jarkko Paavola
Reijo Ekman
Dennis Roberson
Year: 2014
A High-performance Tiered Storage System for a Global Spectrum Observatory Network
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2014.255740

Ryan Attard¹, Juha Kalliovaara², Tanim Taher¹^,*, Jesse Taylor¹, Jarkko Paavola³, Reijo Ekman³, Dennis Roberson¹

1: Illinois Institute of Technology
2: University of Turku
3: Turku University of Applied Sciences

*Contact email: tahetan@hawk.iit.edu

Abstract

This paper describes the RF measurement storage and database architecture for long-term continuously unning spectrum observatories in the US (at Chicago and Blacksburg) and in Turku, Finland. It also describes how the measurement band plan has been collaboratively created taking into account the specifications and limits of the receiving system. Collecting measurements from different geographical locations makes it possible to perform spatial and temporal analysis of the spectrum usage in different parts of the world. As the multi-site measurements are aggregated into one central database, very high requirements are set on the database architecture, equipment, capacity, speed and number of data connections.

Keywords: big data database dynamic spectrum sharing spectrum occupancy measurements spectrum usage trends

Published: 2014-07-23
Publisher: IEEE

: http://dx.doi.org/10.4108/icst.crowncom.2014.255740