%0 Conference Proceedings
%T Distributed Sampling Storage for Statistical Analysis of Massive Sensor Data
%+ NTT Corporation
%+ Waseda University [Tokyo, Japan]
%A Sato, Hiroshi
%A Kurasawa, Hisashi
%A Inoue, Takeru
%A Nakamura, Motonori
%A Matsumura, Hajime
%A Koyanagi, Keiichi
%Z Part 1: Conference
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B International Cross-Domain Conference and Workshop on Availability, Reliability, and Security (CD-ARES)
%C Prague, Czech Republic
%Y Gerald Quirchmayr
%Y Josef Basl
%Y Ilsun You
%Y Lida Xu
%Y Edgar Weippl
%I Springer
%3 Multidisciplinary Research and Practice for Information Systems
%V LNCS-7465
%P 233-243
%8 2012-08-20
%D 2012
%R 10.1007/978-3-642-32498-7_18
%K data accuracy
%K random sampling
%K relaxed durability
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Cyber-physical systems interconnect the cyber world with the physical world in which sensors are massively networked to monitor the physical world. Various services are expected to be able to use sensor data reflecting the physical world with information technology. Given this expectation, it is important to simultaneously provide timely access to massive data and reduce storage costs. We propose a data storage scheme for storing and querying massive sensor data. This scheme is scalable by adopting a distributed architecture, fault-tolerant even without costly data replication, and enables users to efficiently select multi-scale random data samples for statistical analysis. We implemented a prototype system based on our scheme and evaluated its sampling performance. The results show that the prototype system exhibits lower latency than a conventional distributed storage system.
%G English
%Z TC 5
%Z TC 8
%Z WG 8.4
%Z WG 8.9
%2 https://inria.hal.science/hal-01542469/document
%2 https://inria.hal.science/hal-01542469/file/978-3-642-32498-7_18_Chapter.pdf
%L hal-01542469
%U https://inria.hal.science/hal-01542469
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-CD-ARES
%~ IFIP-WG8-4
%~ IFIP-WG8-9
%~ IFIP-LNCS-7465