Современные тенденции в области хранения и обработки сенсорных данных
Автор: Шевчук Елена Васильевна, Шевчук Юрий Владимирович
Журнал: Программные системы: теория и приложения @programmnye-sistemy
Рубрика: Математические основы программирования
Статья в выпуске: 4 (27) т.6, 2015 года.
Бесплатный доступ
Содержится обзор современных тенденций в области хранения и обработки сенсорных данных, различные подходы рассматриваются с точки зрения применимости к организации масштабируемых высокопроизводительных хранилищ данных, выделены наиболее перспективные решения с учетом специфики сенсорных данных и их использования
Онлайн сервисы хранения данных, масштабируемое распределенное хранение данных, временные ряды
Короткий адрес: https://sciup.org/14336163
IDR: 14336163
Modern trends in sensor data storage and processing
Contains an overview of current trends in the storage and processing of sensory data, various approaches are considered in terms of applicability to the organization of scalable high-performance data warehouses, highlighted the most promising solutions, taking into account the specifics of sensory data and their use
Список литературы Современные тенденции в области хранения и обработки сенсорных данных
- J. Gantz, D. Reinsel. The digital universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East-United States, IDC Country Brief, February 2013 (data of access: 13.03.2015), URL: http://www.emc.com/collateral/analyst-reports/idc-digital-universe-united-states.pdf.
- V. Turner, J. F. Gantz, D. Reinsel, S. Minton. The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things, April 2014 (data of access: 13.03.2015), URL: http://www.emc.com/leadership/digital-universe/2014iview/index.htm.
- D. Vesset. Transforming Massive Data into Better Outcomes. Big Data Trends and Opportunities (data of access: 13.03.2015), URL: http://www.afceabethesda.org/PDF%20Files/Vesset_Presentation_3282012.pdf.
- Benchmark Report Scaling the eXtremeDBr In Memory Database System (IMDS) Beyond the Terabyte Size Boundary (data of access: 13.03.2015), URL: http://www.mcobject.com/terabyte-plus-benchmark.
- List of inmemory databases -Wikipedia, the free encyclopedia (data of access: 13.03.2015), URL: http://en.wikipedia.org/wiki/List_of_inmemory_databases.
- F. Chang, J. Dean, S. Ghemawat, W. C. Hsieh, D. A. Wallach, M. Burrows, T. Chandra, A. Fikes, R. E. Gruber. Bigtable: A Distributed Storage System for Structured Data (data of access: 13.03.2015), URL: http://goo.gl/YAG4Pq.
- Amazon DynamoDB Documentation (data of access: 28.10.2015), URL: https://aws.amazon.com/documentation/dynamodb/.
- Apache HBaseTM Reference Guide (data of access: 13.03.2015), URL: http://hbase.apache.org/book.html#_preface.
- Hypertable -Big Data. Big Performance (data of access: 13.03.2015), URL: http://hypertable.org/.
- The Apache Cassandra Project (data of access: 13.03.2015), URL: http://cassandra.apache.org/.
- Apache CouchDB (data of access: 28.10.2015), URL: http://couchdb.apache.org/.
- Big Data Platform -Enterprise Distributed NoSQL & Object Storage -Basho (data of access: 28.10.2015), URL: http://basho.com/.
- RRDtool -About RRDtool (data of access: 13.03.2015), URL: http://oss.oetiker.ch/rrdtool/.
- YAWNDB. Time Series Database Written in Erlang (data of access: 13.03.2015), URL: http://kukuruku.co/hub/erlang/yawndb-time-series-database.
- OpenTSDB -A Distributed, Scalable Monitoring System (data of access: 13.03.2015), URL: http://opentsdb.net/.
- InfluxDB (data of access: 13.03.2015), URL: http://influxdb.com/.
- Geras TSDB -The 1248 time-series database (data of access: 13.03.2015), URL: http://1248.io/geras.php.
- Xively by LogMeInXively (data of access: 13.03.2015), URL: https://xively.com/.
- TempoIQ -IoT Application Platform (data of access: 13.03.2015), URL: https://www.tempoiq.com.
- Nimbits (data of access: 13.03.2015), URL: http://www.nimbits.com/.
- R. Courtland. Radiation Monitoring in Japan Goes DIY, Radiation Monitoring in Japan Goes DIY -IEEE Spectrum, 25 Mar 2011 (data of access: 13.03.2015), URL: http://spectrum.ieee.org/tech-talk/energy/environment/radiation-monitoring-in-japan-goes-diy.
- Air quality egg. Community-led sensing network (data of access: 13.03.2015), URL: http://airqualityegg.com/.
- G. Mathur, P. Desnoyers, D. Ganesan, P. Shenoy. Ultra-low power data storage for sensor networks//Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, IPSN'06 (April 19-21, 2006, Nashville, Tennessee, USA). P. 374-381.
- S. R. Madden, M. J. Franklin, S. M. Hellerstein, W. Hong. TinyDB: An Acquisitional Query Processing System for Sensor Networks//ACM Transactions on database systems, 30:1. P. 122-173 (data of access: 13.03.2015), URL: http://db.cs.berkeley.edu/papers/tods05-tinydb.pdf.
- J. Hill, R. Szewczyk, A. Woo, S. Hollar, D. C. K. Pister. System architecture directions for networked sensors//Proceedings of the 9th International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS IX (November 12-15, 2000, Cambridge, MA, USA). P. 93-104.
- Y. Diao, D. Ganesan, G. Mathur, P. Shenoy. Rethinking Data Management for Storage-centric Sensor Networks//Proceedings of the Conference on Innovative Data Systems Research, CIDR'07 (January 7-10, 2007, Asilomar, CA, USA), 2007. P. 22-31.
