Architecture and Implementation of a Scalable Sensor Data Storage and Analysis System Using Cloud Computing and Big Data Technologies
Sensors are becoming ubiquitous. From almost any type of industrial applications to intelligent vehicles, smart city applications, and healthcare applications, we see a steady growth of the usage of various types of sensors. The rate of increase in the amount of data produced by these sensors is muc...
Uloženo v:
| Vydáno v: | Journal of sensors Ročník 2015; číslo 2015; s. 1 - 11 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Cairo, Egypt
Hindawi Publishing Corporation
01.01.2015
John Wiley & Sons, Inc |
| Témata: | |
| ISSN: | 1687-725X, 1687-7268 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Sensors are becoming ubiquitous. From almost any type of industrial applications to intelligent vehicles, smart city applications, and healthcare applications, we see a steady growth of the usage of various types of sensors. The rate of increase in the amount of data produced by these sensors is much more dramatic since sensors usually continuously produce data. It becomes crucial for these data to be stored for future reference and to be analyzed for finding valuable information, such as fault diagnosis information. In this paper we describe a scalable and distributed architecture for sensor data collection, storage, and analysis. The system uses several open source technologies and runs on a cluster of virtual servers. We use GPS sensors as data source and run machine-learning algorithms for data analysis. |
|---|---|
| AbstractList | Sensors are becoming ubiquitous. From almost any type of industrial applications to intelligent vehicles, smart city applications, and healthcare applications, we see a steady growth of the usage of various types of sensors. The rate of increase in the amount of data produced by these sensors is much more dramatic since sensors usually continuously produce data. It becomes crucial for these data to be stored for future reference and to be analyzed for finding valuable information, such as fault diagnosis information. In this paper we describe a scalable and distributed architecture for sensor data collection, storage, and analysis. The system uses several open source technologies and runs on a cluster of virtual servers. We use GPS sensors as data source and run machine-learning algorithms for data analysis. |
| Author | Hallac, Ibrahim Riza Aydin, Galip Karakus, Betul |
| Author_xml | – sequence: 1 fullname: Aydin, Galip – sequence: 2 fullname: Karakus, Betul – sequence: 3 fullname: Hallac, Ibrahim Riza |
| BookMark | eNqF0ctqGzEUBmBRUmjidtV9EWQTGtzoYl2ydJxLA4EunEB3g0ZzxlbQSI6kofgB8t6ZYUoogdCVLny_QP85QgchBkDoKyU_KBXijBEqzjRfMKo-oEMqtZorJvXB6178_oSOcn4kRHLF-SF6Xia7dQVs6RNgExp82-08dBCKKS4GHFts8Noab2oPeA0hx4QvTRkuS0xmM4WWwfh9dhmv97lAhx-yCxu88rFv8Cp2u76M51FeuM0Uvwe7DdHHjYP8GX1sjc_w5e86Qw_XV_ern_O7Xze3q-Xd3C6ELHPbgBUSFi2XRirJGl43lOm2lqRhhFlVU6rhnGmQii2otdyKcyNb0hhdAwE-QyfTu7sUn3rIpepctuC9CRD7XA0tCTX0p8VAj9_Qx9in4ZujUkwrQoYCZ4hOyqaYc4K2sm4qriTjfEVJNQ6mGgdTTYMZMqdvMrvkOpP27-jvk9660Jg_7j_424RhINCaf7AijAj-Appvpzs |
| CitedBy_id | crossref_primary_10_1016_j_procs_2017_05_193 crossref_primary_10_1080_10095020_2023_2178339 crossref_primary_10_3390_a14080242 crossref_primary_10_1016_j_jksuci_2021_12_009 crossref_primary_10_1111_exsy_12379 crossref_primary_10_1080_17538947_2016_1239771 crossref_primary_10_1109_JIOT_2017_2695535 crossref_primary_10_1109_TFUZZ_2021_3058020 crossref_primary_10_1016_j_compeleceng_2016_05_018 crossref_primary_10_1016_j_compeleceng_2019_02_003 crossref_primary_10_1051_itmconf_20171301030 crossref_primary_10_26634_jcc_3_2_8164 crossref_primary_10_1007_s40710_025_00758_2 crossref_primary_10_4018_IJACI_2017040106 crossref_primary_10_3390_s24041304 |
| Cites_doi | 10.1145/1656274.1656278 10.1007/0-387-25465-X_39 10.4018/ijdwm.2014100103 10.5120/8738-2991 10.1145/1327452.1327492 10.1080/13658810210138715 10.1109/tkde.2002.1033770 10.1016/s1389-1286(01)00302-4 10.1109/mic.2012.50 10.1016/j.ins.2014.01.015 10.14778/1687553.1687609 10.1016/j.future.2013.10.015 10.14778/1920841.1920881 10.1145/1978915.1978919 10.1007/978-3-319-13021-7_9 10.1145/253262.253404 10.1016/j.future.2012.05.026 10.1016/j.compenvurbsys.2014.02.004 10.1111/j.1365-3156.2004.01272.x 10.3390/computers3040117 |
| ContentType | Journal Article |
| Copyright | Copyright © 2015 Galip Aydin et al. Copyright © 2015 Galip Aydin et al. Galip Aydin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Copyright_xml | – notice: Copyright © 2015 Galip Aydin et al. – notice: Copyright © 2015 Galip Aydin et al. Galip Aydin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| DBID | ADJCN AHFXO RHU RHW RHX AAYXX CITATION 3V. 7SP 7U5 7XB 8AL 8FD 8FE 8FG 8FK ABJCF ABUWG AFKRA ARAPS AZQEC BENPR BGLVJ CCPQU CWDGH D1I DWQXO GNUQQ HCIFZ JQ2 K7- KB. L6V L7M M0N M7S P5Z P62 PDBOC PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS Q9U |
| DOI | 10.1155/2015/834217 |
| DatabaseName | الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete Hindawi Publishing Complete Hindawi Publishing Subscription Journals Hindawi Publishing Open Access CrossRef ProQuest Central (Corporate) Electronics & Communications Abstracts Solid State and Superconductivity Abstracts ProQuest Central (purchase pre-March 2016) Computing Database (Alumni Edition) Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni Edition) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central Technology collection ProQuest One Community College Middle East & Africa Database ProQuest Materials Science Collection ProQuest Central Korea ProQuest Central Student SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database Materials Science Database ProQuest Engineering Collection Advanced Technologies Database with Aerospace Computing Database Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Materials Science Collection ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection ProQuest Central Basic |
| DatabaseTitle | CrossRef Publicly Available Content Database Computer Science Database ProQuest Central Student Technology Collection Technology Research Database ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Materials Science Collection ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest Engineering Collection Middle East & Africa Database ProQuest Central Korea Materials Science Database ProQuest Central (New) Advanced Technologies Database with Aerospace Engineering Collection ProQuest Materials Science Collection Advanced Technologies & Aerospace Collection ProQuest Computing Engineering Database ProQuest Central Basic ProQuest Computing (Alumni Edition) ProQuest One Academic Eastern Edition Electronics & Communications Abstracts ProQuest Technology Collection ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest One Academic UKI Edition Materials Science & Engineering Collection Solid State and Superconductivity Abstracts ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) |
| DatabaseTitleList | Publicly Available Content Database Solid State and Superconductivity Abstracts CrossRef |
| Database_xml | – sequence: 1 dbid: RHX name: Hindawi Publishing Open Access url: http://www.hindawi.com/journals/ sourceTypes: Publisher – sequence: 2 dbid: KB. name: Materials Science Database url: http://search.proquest.com/materialsscijournals sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1687-7268 |
| Editor | Stan, Sergiu Dan |
| Editor_xml | – sequence: 1 givenname: Sergiu Dan surname: Stan fullname: Stan, Sergiu Dan |
| EndPage | 11 |
| ExternalDocumentID | 3653584331 10_1155_2015_834217 1070205 |
| GroupedDBID | .4S .DC 0R~ 188 24P 29L 2UF 2WC 4.4 5GY 5VS 8FE 8FG 8R4 8R5 AAFWJ AAKPC AAMMB ABJCF ABUWG ACCMX ACGFO ACIWK ADBBV ADJCN ADMLS AEFGJ AEGXH AENEX AFKRA AGXDD AHFXO AIDQK AIDYY ALMA_UNASSIGNED_HOLDINGS ARAPS ARCSS AZQEC BCNDV BENPR BGLVJ BPHCQ C1A CCPQU CS3 CWDGH D1I DWQXO E3Z EBS EDO EJD GNUQQ H13 HCIFZ IAO IEA IGS IL9 IPNFZ ITC K6V K7- KB. KQ8 L6V M7S OK1 OVT P62 PDBOC PHGZM PHGZT PIMPY PQGLB PQQKQ PROAC PTHSS PUEGO Q2X RHU RIG RNS TR2 TUS UGNYK UNMZH 3V. AAJEY AINHJ CAHYU CNMHZ GROUPED_DOAJ M0N M~E RHW RHX AAYXX AFFHD ALUQN CITATION 7SP 7U5 7XB 8AL 8FD 8FK JQ2 L7M PKEHL PQEST PQUKI PRINS Q9U |
| ID | FETCH-LOGICAL-c456t-cdec56e4f36a6762d3bd128fb60d202c7b118e928e67241cc3c59a6f0da8be0e3 |
| IEDL.DBID | M7S |
| ISICitedReferencesCount | 29 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000352884300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1687-725X |
| IngestDate | Fri Sep 05 12:12:27 EDT 2025 Fri Jul 25 19:00:45 EDT 2025 Tue Nov 18 21:45:43 EST 2025 Sat Nov 29 06:02:41 EST 2025 Sun Jun 02 19:19:16 EDT 2024 Thu Sep 25 15:11:59 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2015 |
| Language | English |
| License | This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/3.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c456t-cdec56e4f36a6762d3bd128fb60d202c7b118e928e67241cc3c59a6f0da8be0e3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | https://www.proquest.com/docview/1672870073?pq-origsite=%requestingapplication% |
| PQID | 1672870073 |
| PQPubID | 237780 |
| PageCount | 11 |
| ParticipantIDs | proquest_miscellaneous_1685783485 proquest_journals_1672870073 crossref_citationtrail_10_1155_2015_834217 crossref_primary_10_1155_2015_834217 hindawi_primary_10_1155_2015_834217 emarefa_primary_1070205 |
| PublicationCentury | 2000 |
| PublicationDate | 2015-01-01 |
| PublicationDateYYYYMMDD | 2015-01-01 |
| PublicationDate_xml | – month: 01 year: 2015 text: 2015-01-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Cairo, Egypt |
| PublicationPlace_xml | – name: Cairo, Egypt – name: New York |
| PublicationTitle | Journal of sensors |
| PublicationYear | 2015 |
| Publisher | Hindawi Publishing Corporation John Wiley & Sons, Inc |
| Publisher_xml | – name: Hindawi Publishing Corporation – name: John Wiley & Sons, Inc |
| References | (24) 2012; 16 Ghemawat S. Gobioff H. Leung S. T. The google file system Proceedings of the 19th ACM Symposium on Operating Systems Principles (SOSP '03) October 2003 29 43 2-s2.0-21644437974 Esteves R. M. Pais R. Rong C. K-means clustering in the cloud—a Mahout test Proceedings of the IEEE Workshops of International Conference on Advanced Information Networking and Applications (WAINA '11) 2011 IEEE 514 519 (11) 2008; 51 Sweeney C. Liu L. Arietta S. Lawrence J. Thesis B. S. HIPI: a Hadoop Image Processing Interface for Image-Based Mapreduce Tasks 2011 Charlottesville, Va, USA University of Virginia Official Hadoop Web Site 2015, http://hadoop.apache.org (63) 2004; 9 Cheng T. Haworth J. Anbaroglu B. Tanaksaranond G. Wang J. Spatiotemporal data mining Handbook of Regional Science 2014 Berlin, Germany Springer 1173 1193 Mahout A. Scalable machine-learning and data-mining library http://mahout.apache.org (65) 2014; 10 Membrey P. Plugge E. Hawkins D. The Definitive Guide to MongoDB: the noSQL Database for Cloud and Desktop Computing 2010 Apress (36) 2013; 29 (25) 2014; 32 Ashton K. That “Internet of Things” Thing, 2015, http://www.rfidjournal.com/articles/view?4986 Nemschoff M. Big Data: 5 Major Advantages of Hadoop, http://www.itproportal.com Comparison of Relational Database Systems, http://en.wikipedia.org/wiki/Comparison_of_relational_database_management_system Katal A. Wazid M. Goudar R. H. Big data: issues, challenges, tools and good practices Proceedings of the 6th International Conference on Contemporary Computing (IC3 '13) August 2013 Noida, India IEEE 404 409 2-s2.0-84886540532 10.1109/ic3.2013.6612229 Divakar Mysore S. K. Jain S. Big Data Architecture and Patterns, Part 1: Introduction to Big Data Classification and Architecture 2013 IBM Big Data and Analytics, Technical Library Liang F. Feng C. Lu X. Xu Z. Performance benefits of DataMPI: a case study with BigDataBench Big Data Benchmarks, Performance Optimization, and Emerging Hardware 2014 8807 Cham, Switzerland Springer International Publishing 111 123 Lecture Notes in Computer Science 10.1007/978-3-319-13021-7_9 (62) 2014 Yonca CBS Naviskop Vehicle Tracking Systems 2015, http://www.naviskop.com Jackson K. OpenStack Cloud Computing Cookbook 2012 Packt Publishing Ltd. Zaharia M. Chowdhury M. Franklin M. J. Shenker S. Stoica I. Spark: cluster computing with working set Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing 2010 Liu Y. Wang Y. Jin Y. Research on the improvement of MongoDB Auto-Sharding in cloud environment Proceedings of the 7th International Conference on Computer Science & Education (ICCSE '12) July 2012 Melbourne, Australia IEEE 851 854 2-s2.0-84868142073 10.1109/iccse.2012.6295203 (40) 2014; 3 Dede E. Govindaraju M. Gunter D. Canon R. S. Ramakrishnan L. Performance evaluation of a MongoDB and Hadoop platform for scientific data analysis Proceedings of the 4th ACM Workshop on Scientific Cloud Computing (ScienceCloud '13) June 2013 ACM 13 20 10.1145/2465848.2465849 2-s2.0-84880078900 Wei-Ping Z. Ming-Xin L. Huan C. Using MongoDB to implement textbook management system instead of MySQL Proceedings of the IEEE 3rd International Conference on Communication Software and Networks (ICCSN '11) May 2011 IEEE 303 305 10.1109/iccsn.2011.6013720 2-s2.0-80053152144 White T. Hadoop: The Definitive Guide 2009 O'Reilly Media (22) 2010; 3 (4) 2002; 38 (61) 2014; 275 (60) 2012; 55 George L. HBase: The Definitive Guide 2011 O'Reilly Media OpenNebula Web page, 2015, http://www.opennebula.org (5) 2010; 39 Ekanayake J. Li H. Zhang B. Gunarathne T. Bae S.-H. Qiu J. Fox G. Twister: a runtime for iterative mapreduce Proceedings of the ACM International Symposium on High Performance Distributed Computing (HPDC '10) June 2010 ACM 810 818 10.1145/1851476.1851593 2-s2.0-78650003594 IEEE XPLORE Year in Review: Top Search Terms in IEEE Xplore http://ieeexplore.ieee.org/Xplore (6) 2011; 11 RapidMiner Predictive Analysis, 2015, https://rapidminer.com Zaharia M. Chowdhury M. Das T. Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing Proceedings of the 9th USENIX Conference on Networked Systems Design and Implementation (NSDI '12) 2012 USENIX Association Olston C. Reed B. Srivastava U. Kumar R. Tomkins A. Pig latin: a not-so-foreign language for data processing Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD '08) June 2008 ACM 1099 1110 10.1145/1376616.1376726 2-s2.0-55349148888 Shekhar S. Zhang P. Huang Y. Spatial data mining Data Mining and Knowledge Discovery Handbook 2005 Springer 833 851 10.1007/0-387-25465-X_39 Bialecki A. Cafarella M. Cutting D. O'Malley O. Hadoop: A Framework for Running Applications on Large Clusters Built of Commodity Hardware 2005 Wiki http://lucene.apache.org/hadoop Lawson D. Alternating Direction Method of Multipliers Implementation Using Apache Spark 2014 Quick Server February 2015, http://www.quickserver.org Amazon Web Services, 2015, http://aws.amazon.com (18) 2009; 2 (47) 1997; 26 (49) 2002; 14 Holmes G. Donkin A. Witten I. H. Weka: a machine learning workbench Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems December 1994 Brisbane, Australia 357 361 10.1109/ANZIIS.1994.396988 Lin C.-Y. Tsai C.-H. Lee C.-P. Lin C.-J. Large-scale logistic regression and linear support vector machines using spark Proceedings of the IEEE International Conference on Big Data October 2014 Washington, DC, USA 519 528 10.1109/bigdata.2014.7004269 Gantz J. Reinsel D. Extracting Value from Chaos State of the Universe 2011 IDC (International Data Corporation) Eucalyptus, 2015, https://www.eucalyptus.com/eucalyptus-cloud/iaas Boicea A. Radulescu F. Agapin L. I. MongoDB vs oracle-database comparison Proceedings of the 3rd International Conference on Emerging Intelligent Data and Web Technologies (EIDWT '12) September 2012 330 335 10.1109/eidwt.2012.32 2-s2.0-84870735992 OpenStack 2015, http://www.openstack.org Gunarathne T. Wu T.-L. Qiu J. Fox G. MapReduce in the clouds for science Proceedings of the 2nd IEEE International Conference on Cloud Computing Technology and Science (CloudCom '10) December 2010 IEEE 565 572 10.1109/cloudcom.2010.107 2-s2.0-79952394502 (67) 2012 van der Veen J. S. van der Waaij B. Meijer R. J. Sensor data storage performance: SQL or NoSQL, physical or virtual Proceedings of the IEEE 5th International Conference on Cloud Computing (CLOUD '12) June 2012 IEEE 431 438 10.1109/cloud.2012.18 2-s2.0-84866773389 (66) 2014; 1 Borthakur D. HDFS Architecture Guide 2008 Hadoop Apache Project Parker Z. Poe S. Vrbsky S. V. Comparing nosql mongodb to an sql db Proceedings of the 51st ACM Southeast Conference April 2013 ACM 10.1145/2498328.2500047 2-s2.0-84881631965 Press G. Internet of Things by the Numbers: Market Estimates and Forecasts, http://www.forbes.com Wang H. Wu B. Yang S. Wang B. Research of decision tree on YARN using 16 MapReduce and spark Proceedings of the The 2014 World Congress in Computer Science, Computer Engineering, and Applied Computing 2014 Las Vegas, Nev, USA (68) 2009; 11 Wikipedia Global Positioning System http://en.wikipedia.org/wiki/Global_Positioning_System (48) 2002; 16 Owen S. Anil R. Dunning T. Friedman E. Mahout in Action 2011 Manning Publications Spark MLLib scalable machine learning library, https://spark.apache.org/mllib 23 45 (43) 2014 68 25 26 48 (53) 2010 49 (16) 2008 (28) 2005 (11) 2013 (8) 2011 50 (64) 2014 51 (14) 2011 12 (59) 2012 37 19 (15) 2009 (20) 2011 4 5 60 61 (18) 2011 62 41 63 |
| References_xml | – reference: Borthakur D. HDFS Architecture Guide 2008 Hadoop Apache Project – reference: Gantz J. Reinsel D. Extracting Value from Chaos State of the Universe 2011 IDC (International Data Corporation) – reference: Nemschoff M. Big Data: 5 Major Advantages of Hadoop, http://www.itproportal.com/ – reference: Mahout A. Scalable machine-learning and data-mining library http://mahout.apache.org/ – volume: 11 start-page: 10 issue: 1 year: 2009 end-page: 18 ident: 68 article-title: The WEKA data mining software: an update – reference: Zaharia M. Chowdhury M. Das T. Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing Proceedings of the 9th USENIX Conference on Networked Systems Design and Implementation (NSDI '12) 2012 USENIX Association – reference: RapidMiner Predictive Analysis, 2015, https://rapidminer.com/ – start-page: 26 year: 2012 end-page: 30 ident: 67 article-title: K-means clustering in spatial data mining using weka interface – year: 2014 ident: 62 article-title: Constructing gazetteers from volunteered Big Geo-Data based on Hadoop – reference: Eucalyptus, 2015, https://www.eucalyptus.com/eucalyptus-cloud/iaas – reference: George L. HBase: The Definitive Guide 2011 O'Reilly Media – reference: White T. Hadoop: The Definitive Guide 2009 O'Reilly Media – reference: Bialecki A. Cafarella M. Cutting D. O'Malley O. Hadoop: A Framework for Running Applications on Large Clusters Built of Commodity Hardware 2005 Wiki http://lucene.apache.org/hadoop – reference: van der Veen J. S. van der Waaij B. Meijer R. J. Sensor data storage performance: SQL or NoSQL, physical or virtual Proceedings of the IEEE 5th International Conference on Cloud Computing (CLOUD '12) June 2012 IEEE 431 438 10.1109/cloud.2012.18 2-s2.0-84866773389 – reference: Lawson D. Alternating Direction Method of Multipliers Implementation Using Apache Spark 2014 – reference: Owen S. Anil R. Dunning T. Friedman E. Mahout in Action 2011 Manning Publications – reference: Spark MLLib scalable machine learning library, https://spark.apache.org/mllib/ – reference: Lin C.-Y. Tsai C.-H. Lee C.-P. Lin C.-J. Large-scale logistic regression and linear support vector machines using spark Proceedings of the IEEE International Conference on Big Data October 2014 Washington, DC, USA 519 528 10.1109/bigdata.2014.7004269 – volume: 32 start-page: 307 issue: 1 year: 2014 end-page: 323 ident: 25 article-title: Semantic-based QoS management in cloud systems: current status and future challenges – reference: Parker Z. Poe S. Vrbsky S. V. Comparing nosql mongodb to an sql db Proceedings of the 51st ACM Southeast Conference April 2013 ACM 10.1145/2498328.2500047 2-s2.0-84881631965 – volume: 55 start-page: 38 issue: 3 year: 2012 end-page: 42 ident: 60 article-title: OpenStack: toward an open-source solution for cloud computing – reference: Katal A. Wazid M. Goudar R. H. Big data: issues, challenges, tools and good practices Proceedings of the 6th International Conference on Contemporary Computing (IC3 '13) August 2013 Noida, India IEEE 404 409 2-s2.0-84886540532 10.1109/ic3.2013.6612229 – reference: Shekhar S. Zhang P. Huang Y. Spatial data mining Data Mining and Knowledge Discovery Handbook 2005 Springer 833 851 10.1007/0-387-25465-X_39 – volume: 2 start-page: 1626 issue: 2 year: 2009 end-page: 1629 ident: 18 article-title: Hive: a warehousing solution over a map-reduce framework – volume: 16 start-page: 4 issue: 3 year: 2012 end-page: 6 ident: 24 article-title: From databases to big data – reference: Comparison of Relational Database Systems, http://en.wikipedia.org/wiki/Comparison_of_relational_database_management_system – volume: 26 start-page: 553 issue: 2 year: 1997 end-page: 556 ident: 47 article-title: GeoMiner: a system prototype for spatial data mining – volume: 3 start-page: 117 issue: 4 year: 2014 end-page: 129 ident: 40 article-title: Beyond batch processing: towards real-time and streaming big data – reference: Boicea A. Radulescu F. Agapin L. I. MongoDB vs oracle-database comparison Proceedings of the 3rd International Conference on Emerging Intelligent Data and Web Technologies (EIDWT '12) September 2012 330 335 10.1109/eidwt.2012.32 2-s2.0-84870735992 – reference: Esteves R. M. Pais R. Rong C. K-means clustering in the cloud—a Mahout test Proceedings of the IEEE Workshops of International Conference on Advanced Information Networking and Applications (WAINA '11) 2011 IEEE 514 519 – reference: Liang F. Feng C. Lu X. Xu Z. Performance benefits of DataMPI: a case study with BigDataBench Big Data Benchmarks, Performance Optimization, and Emerging Hardware 2014 8807 Cham, Switzerland Springer International Publishing 111 123 Lecture Notes in Computer Science 10.1007/978-3-319-13021-7_9 – reference: Divakar Mysore S. K. Jain S. Big Data Architecture and Patterns, Part 1: Introduction to Big Data Classification and Architecture 2013 IBM Big Data and Analytics, Technical Library – reference: Ghemawat S. Gobioff H. Leung S. T. The google file system Proceedings of the 19th ACM Symposium on Operating Systems Principles (SOSP '03) October 2003 29 43 2-s2.0-21644437974 – reference: OpenNebula Web page, 2015, http://www.opennebula.org – volume: 39 start-page: 12 issue: 4 year: 2010 end-page: 27 ident: 5 article-title: Scalable SQL and NoSQL data stores – reference: Membrey P. Plugge E. Hawkins D. The Definitive Guide to MongoDB: the noSQL Database for Cloud and Desktop Computing 2010 Apress – reference: Zaharia M. Chowdhury M. Franklin M. J. Shenker S. Stoica I. Spark: cluster computing with working set Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing 2010 – reference: Liu Y. Wang Y. Jin Y. Research on the improvement of MongoDB Auto-Sharding in cloud environment Proceedings of the 7th International Conference on Computer Science & Education (ICCSE '12) July 2012 Melbourne, Australia IEEE 851 854 2-s2.0-84868142073 10.1109/iccse.2012.6295203 – reference: Yonca CBS Naviskop Vehicle Tracking Systems 2015, http://www.naviskop.com/ – volume: 1 start-page: 563 issue: 5 year: 2014 end-page: 567 ident: 66 article-title: SD miner—a spatial data mining system – reference: Wang H. Wu B. Yang S. Wang B. Research of decision tree on YARN using 16 MapReduce and spark Proceedings of the The 2014 World Congress in Computer Science, Computer Engineering, and Applied Computing 2014 Las Vegas, Nev, USA – reference: Quick Server February 2015, http://www.quickserver.org/ – reference: OpenStack 2015, http://www.openstack.org – reference: Wikipedia Global Positioning System http://en.wikipedia.org/wiki/Global_Positioning_System – reference: Sweeney C. Liu L. Arietta S. Lawrence J. Thesis B. S. HIPI: a Hadoop Image Processing Interface for Image-Based Mapreduce Tasks 2011 Charlottesville, Va, USA University of Virginia – reference: Gunarathne T. Wu T.-L. Qiu J. Fox G. MapReduce in the clouds for science Proceedings of the 2nd IEEE International Conference on Cloud Computing Technology and Science (CloudCom '10) December 2010 IEEE 565 572 10.1109/cloudcom.2010.107 2-s2.0-79952394502 – reference: Cheng T. Haworth J. Anbaroglu B. Tanaksaranond G. Wang J. Spatiotemporal data mining Handbook of Regional Science 2014 Berlin, Germany Springer 1173 1193 – reference: Jackson K. OpenStack Cloud Computing Cookbook 2012 Packt Publishing Ltd. – volume: 29 start-page: 1024 issue: 4 year: 2013 end-page: 1034 ident: 36 article-title: On the performance of high dimensional data clustering and classification algorithms – volume: 9 start-page: 757 issue: 7 year: 2004 end-page: 766 ident: 63 article-title: Spatial clustering of malaria and associated risk factors during an epidemic in a highland area of western Kenya – reference: Dede E. Govindaraju M. Gunter D. Canon R. S. Ramakrishnan L. Performance evaluation of a MongoDB and Hadoop platform for scientific data analysis Proceedings of the 4th ACM Workshop on Scientific Cloud Computing (ScienceCloud '13) June 2013 ACM 13 20 10.1145/2465848.2465849 2-s2.0-84880078900 – reference: Press G. Internet of Things by the Numbers: Market Estimates and Forecasts, http://www.forbes.com/ – reference: Holmes G. Donkin A. Witten I. H. Weka: a machine learning workbench Proceedings of the 2nd Australian and New Zealand Conference on Intelligent Information Systems December 1994 Brisbane, Australia 357 361 10.1109/ANZIIS.1994.396988 – reference: Ekanayake J. Li H. Zhang B. Gunarathne T. Bae S.-H. Qiu J. Fox G. Twister: a runtime for iterative mapreduce Proceedings of the ACM International Symposium on High Performance Distributed Computing (HPDC '10) June 2010 ACM 810 818 10.1145/1851476.1851593 2-s2.0-78650003594 – volume: 3 start-page: 285 issue: 1-2 year: 2010 end-page: 296 ident: 22 article-title: HaLoop: efficient iterative data processing on large clusters – reference: Olston C. Reed B. Srivastava U. Kumar R. Tomkins A. Pig latin: a not-so-foreign language for data processing Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD '08) June 2008 ACM 1099 1110 10.1145/1376616.1376726 2-s2.0-55349148888 – volume: 16 start-page: 533 issue: 6 year: 2002 end-page: 549 ident: 48 article-title: Spatial data mining for enhanced soil map modelling – reference: Official Hadoop Web Site 2015, http://hadoop.apache.org/ – volume: 38 start-page: 393 issue: 4 year: 2002 end-page: 422 ident: 4 article-title: Wireless sensor networks: a survey – volume: 14 start-page: 1003 issue: 5 year: 2002 end-page: 1016 ident: 49 article-title: Clarans: a method for clustering objects for spatial data mining – volume: 11 start-page: 62 year: 2011 end-page: 71 ident: 6 article-title: Two-tier architecture for web mapping with NoSQL database couch DB – reference: IEEE XPLORE Year in Review: Top Search Terms in IEEE Xplore http://ieeexplore.ieee.org/Xplore/ – reference: Amazon Web Services, 2015, http://aws.amazon.com – volume: 51 start-page: 107 issue: 1 year: 2008 end-page: 113 ident: 11 article-title: MapReduce: simplified data processing on large clusters – reference: Wei-Ping Z. Ming-Xin L. Huan C. Using MongoDB to implement textbook management system instead of MySQL Proceedings of the IEEE 3rd International Conference on Communication Software and Networks (ICCSN '11) May 2011 IEEE 303 305 10.1109/iccsn.2011.6013720 2-s2.0-80053152144 – volume: 10 start-page: 50 issue: 4 year: 2014 end-page: 70 ident: 65 article-title: Spatial data mining: a perspective of big data – reference: Ashton K. That “Internet of Things” Thing, 2015, http://www.rfidjournal.com/articles/view?4986 – volume: 275 start-page: 314 year: 2014 end-page: 347 ident: 61 article-title: Data-intensive applications, challenges, techniques and technologies: a survey on Big Data – ident: 68 doi: 10.1145/1656274.1656278 – year: 2011 ident: 8 – ident: 51 doi: 10.1007/0-387-25465-X_39 – year: 2008 ident: 16 – year: 2011 ident: 14 – year: 2012 ident: 59 – volume: 10 start-page: 50 issue: 4 year: 2014 ident: 65 publication-title: International Journal of Data Warehousing and Mining doi: 10.4018/ijdwm.2014100103 – ident: 60 doi: 10.5120/8738-2991 – ident: 12 doi: 10.1145/1327452.1327492 – ident: 49 doi: 10.1080/13658810210138715 – ident: 50 doi: 10.1109/tkde.2002.1033770 – year: 2011 ident: 18 – ident: 4 doi: 10.1016/s1389-1286(01)00302-4 – ident: 25 doi: 10.1109/mic.2012.50 – ident: 61 doi: 10.1016/j.ins.2014.01.015 – ident: 19 doi: 10.14778/1687553.1687609 – ident: 26 doi: 10.1016/j.future.2013.10.015 – ident: 23 doi: 10.14778/1920841.1920881 – ident: 5 doi: 10.1145/1978915.1978919 – year: 2009 ident: 15 – year: 2010 ident: 53 – year: 2005 ident: 28 – ident: 45 doi: 10.1007/978-3-319-13021-7_9 – year: 2014 ident: 43 – ident: 48 doi: 10.1145/253262.253404 – ident: 37 doi: 10.1016/j.future.2012.05.026 – ident: 62 doi: 10.1016/j.compenvurbsys.2014.02.004 – volume: 11 start-page: 62 year: 2011 ident: 6 publication-title: Geospatial Crossroads GI Forum – start-page: 1173 volume-title: Spatiotemporal data mining year: 2014 ident: 64 – year: 2013 ident: 11 – start-page: 26 year: 2012 ident: 67 publication-title: International Journal of Computer Applications – ident: 63 doi: 10.1111/j.1365-3156.2004.01272.x – volume: 1 start-page: 563 issue: 5 year: 2014 ident: 66 publication-title: International Journal of Research – year: 2011 ident: 20 – ident: 41 doi: 10.3390/computers3040117 |
| SSID | ssj0063733 |
| Score | 2.2099307 |
| Snippet | Sensors are becoming ubiquitous. From almost any type of industrial applications to intelligent vehicles, smart city applications, and healthcare applications,... |
| SourceID | proquest crossref hindawi emarefa |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1 |
| SubjectTerms | Algorithms Architecture (computers) Clusters Data processing Data storage Freeware Health care Intelligent vehicles Sensors |
| SummonAdditionalLinks | – databaseName: Hindawi Publishing Open Access dbid: RHX link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT8MwDLYYYhIcEG8GAwWxE1LF1jZpcoTBtAOaEC_tVqVJCpOgRXvAL-B_47TZNB5C3JrWVtW4sf05sQ3QoEKiYkyEF4SCI0DhwjZyb3nchHYjjRtRpI89XEW9Hu_3xbU7IDv6uYWP1g7heYue8iBE57kCFU7twa2bbn-qb1kQFQ3jWwyXS-TTvsvC-8b6xe5UzYvECzRG1ScLfd8HP1RxYV86a7DqHENyVkpyHRZMtgErc-UCN-HjbC7qT2SmSVHb98WlD2UkT4kktzjrNh-K3CJCzYfkQo7xJkJr1BwF07QOCSmrlZPi1ABpP-cTTcomD3ZsKc8HjyX7LACPuHoL7juXd-2u59ooeAq9o7GntFGUmTANmGSo-3SQaLRKacKa2m_6KkoQZBjhc8MitOdKBQolyNKmljwxTRNsw2KWZ2YXCBcsjdCnCLVioUSChHEtfWGYVlQHrAYn00mOlasxbltdPMcF1qA0thKJS4nUoDEjfi1La_xOtuOkNUcVoZdLa3DspPc3f30q2ditz1Hcwk9FTYX6rQZHs8e4sux2icxMPrE0nNo2JJzu_etF-7BsR2V8pg6L4-HEHMCSehsPRsPD4p_9BE0W40Q priority: 102 providerName: Hindawi Publishing |
| Title | Architecture and Implementation of a Scalable Sensor Data Storage and Analysis System Using Cloud Computing and Big Data Technologies |
| URI | https://search.emarefa.net/detail/BIM-1070205 https://dx.doi.org/10.1155/2015/834217 https://www.proquest.com/docview/1672870073 https://www.proquest.com/docview/1685783485 |
| Volume | 2015 |
| WOSCitedRecordID | wos000352884300001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1687-7268 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0063733 issn: 1687-725X databaseCode: P5Z dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1687-7268 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0063733 issn: 1687-725X databaseCode: K7- dateStart: 20080101 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 1687-7268 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0063733 issn: 1687-725X databaseCode: M7S dateStart: 20080101 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: Materials Science Database customDbUrl: eissn: 1687-7268 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0063733 issn: 1687-725X databaseCode: KB. dateStart: 20080101 isFulltext: true titleUrlDefault: http://search.proquest.com/materialsscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Middle East & Africa Database customDbUrl: eissn: 1687-7268 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0063733 issn: 1687-725X databaseCode: CWDGH dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.proquest.com/middleeastafrica providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1687-7268 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0063733 issn: 1687-725X databaseCode: BENPR dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1687-7268 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0063733 issn: 1687-725X databaseCode: PIMPY dateStart: 20080101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVWIB databaseName: Wiley-Blackwell Open Access Collection customDbUrl: eissn: 1687-7268 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0063733 issn: 1687-725X databaseCode: 24P dateStart: 20080101 isFulltext: true titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB7Rlkpw4P1YKCsjekIK3TzsOCfULa2KgFXUBbRwiRzbaVdqk7IP-AX8b2YcZ7sSqBcuVhyPkyhjz8NjzwewyzOFgrHMgjjJJDooMiMg9zCQNqFAmrSZOz729WM6GsnJJMv9gtvcb6vsZKIT1KbRtEa-F4qUYnI4It9e_ggINYqiqx5CYwO2KEtC6LbujTtJLOLUQcmHAidSGvGJP5-HKhR9_pDvyTiJHFLZlUbathcKL1BNbZ-RU_xr-peQdprn6O7_fvM9uONtTrbfDpL7cMPWD-D2WibCh_B7fy2gwFRtmEsbfOFPJtWsqZhiY2QoHbViY3R-mxl7pxZ4E712FEquU5fihLWJ0JnbkMAOzpulYS1-BNWJcjg9bbuv1vbRZX8EX44OPx8cBx6hIdBoeC0CbazmwiZVLJRAsWri0qDCq0oxMNEg0mmJ_ovNImnxTySh1rHGwSGqgVGytAMbP4bNuqntU2AyE1WK5kpitEgUEpRCGhVlVhjNTSx68LrjUqF9-nJC0TgvnBvDeUEsLVqW9mB3RXzZZu34N9kTz-41qhQNaN6DV5791_ff6fhe-Kk_L66Y3oOXq2actBSJUbVtlkQjOSGcSP7s-kc8h1v0vnbNZwc2F7OlfQE39c_FdD7rw9bwcJSf9GHjQxpQOXzTdzMAy5x_x_b8_af8G9ZOjid_AG3rC58 |
| linkProvider | ProQuest |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB6VQlU48H4ECiyiXJCsJLb3dUCotFStEiKkFpSbWe-u20itXRKHih_A3-E3Mrtrp5FAvfXAzY9Zr2x_M7Pj8cwHsEmlQsOYyyhJpcAARUhH5N6PhE1dIk1Y6cvHvg75aCTGY_l5BX63tTDut8rWJnpDbSrtvpF3-4y7nBwi8v3Z98ixRrnsakuhEWAxsD_PMWSbvdvfwff7Jo53Px5u70UNq0CkcbFQR9pYTZlNi4QphqbAJLlBI13krGfiXqx5jmtuK2Nhcca0r3Wi8YZY0TNK5LZnE7zuNbieJoI7vRrwqLX8LOGeur7PUHF5TMdNPSC67C76WdoVSRp7ZrQLD7hmTxVuoFtcO3ZB-PnkL6fgPd3unf_tGd2F282ammwFJbgHK7a8D7eWOi0-gF9bSwkTokpDfFvk06byqiRVQRQ5QMC6UjJygMF9NSU7qsaDNWrJURjUtnAhodE78T9ckO2Tam5I4Mdw-07yw-QoDF_kLiZ29hC-XMlzeASrZVXaJ0CEZAXH5VhqNEsVCuRMGBVLy4ymJmEdeNuiItNNe3bHEnKS-TCN0sxBKAsQ6sDmQvgsdCX5t9jjBl5LUhwDBNqB1w3cLh-_0eIsa0zbLLsAWQdeLU6jUXKZJlXaau5kBHUMLoI-vfwSL2F97_DTMBvujwbP4KabO3zf2oDVejq3z-GG_lFPZtMXXtMIfLtq2P4BrMlijQ |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6VQhEceD8WChhRLkjR7iaxYx8QKl1WVK1WKxXQqpfg2E5ZqU3KbpaKH8Cf4tcxfmS7Eqi3HrjlMXYU5_OMJ-OZD2CLComKsRBRkgqODgoXlsi9H3GT2kAaN8Klj33Zz0YjPpmI8Rr8bnNh7LbKVic6Ra1rZf-Rd_ssszE5RGS3DNsixoPhu9PvkWWQspHWlk7DQ2TP_DxD923-dneA3_p1HA8_fNr5GAWGgUjhwqGJlDaKMpOWCZMM1YJOCo0KuyxYT8e9WGUFrr-NiLnBp6d9pRKFL8fKnpa8MD2TYL9X4GqGPqbdTjimh60VYEnmaOz7DCdxFtNJyA1E891Fm0u7PEljx5J2bg03zInEAzSRG9-sQ342_ctAOKs3vP0_j9cduBXW2mTbT467sGaqe3BzpQLjffi1vRJIIbLSxJVLPgkZWRWpSyLJAQLZppiRA3T66xkZyAYvNjh7jnyjtrQL8QXgiduIQXaO64UmnjfDnlvJ99Mj33wZ05ia-QP4fCnj8BDWq7oyj4FwwcoMl2mpViyVKFAwrmUsDNOK6oR14E2LkFyFsu2WPeQ4d-4bpbmFU-7h1IGtpfCpr1byb7FHAWorUhk6DrQDrwL0Lm6_2WIuDypvnp8DrgMvl7dRWdkIlKxMvbAynFpmF06fXNzFC7iOaM33d0d7T-GGfbT_7bUJ681sYZ7BNfWjmc5nz92kI_D1slH7B08ua7E |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Architecture+and+Implementation+of+a+Scalable+Sensor+Data+Storage+and+Analysis+System+Using+Cloud+Computing+and+Big+Data+Technologies&rft.jtitle=Journal+of+sensors&rft.au=Aydin%2C+Galip&rft.au=Hallac%2C+Ibrahim+Riza&rft.au=Karakus%2C+Betul&rft.date=2015-01-01&rft.issn=1687-725X&rft.eissn=1687-7268&rft.volume=2015&rft.spage=1&rft.epage=11&rft_id=info:doi/10.1155%2F2015%2F834217&rft.externalDBID=n%2Fa&rft.externalDocID=10_1155_2015_834217 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1687-725X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1687-725X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1687-725X&client=summon |