{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T18:37:20Z","timestamp":1725993440035},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030011673"},{"type":"electronic","value":"9783030011680"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-01168-0_5","type":"book-chapter","created":{"date-parts":[[2018,9,28]],"date-time":"2018-09-28T00:03:17Z","timestamp":1538092997000},"page":"41-51","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["On Data Stream Processing in IoT Applications"],"prefix":"10.1007","author":[{"given":"Dmitry","family":"Namiot","sequence":"first","affiliation":[]},{"given":"Manfred","family":"Sneps-Sneppe","sequence":"additional","affiliation":[]},{"given":"Romass","family":"Pauliks","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,29]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Garofalakis, M., Gehrke, J., Rastogi, R. (eds.): Data Stream Management: Processing High-Speed Data Streams. Springer, Heidelberg (2016)","DOI":"10.1007\/978-3-540-28608-0"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"EU FP7 CityPulse. http:\/\/www.ict-citypulse.eu . Accessed 24 May 2018","DOI":"10.15240\/tul\/004\/2018-3-001"},{"key":"5_CR3","unstructured":"T\u00f6njes, R., et al.: Real time iot stream processing and large-scale data analytics for smart city applications. Poster session, European Conference on Networks and Communications (2014)"},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Namiot, D., Ventspils, M.S.S., Daradkeh, Y.I.: On Internet of Things education. In: 2017 20th Conference of Open Innovations Association (FRUCT), pp. 309\u2013315. IEEE, April 2017","DOI":"10.23919\/FRUCT.2017.8071327"},{"key":"5_CR5","volume-title":"Enchanted Objects: Design, Human Desire, and the Internet of Things","author":"D Rose","year":"2014","unstructured":"Rose, D.: Enchanted Objects: Design, Human Desire, and the Internet of Things. Simon and Schuster, New York (2014)"},{"issue":"1","key":"5_CR6","doi-asserted-by":"publisher","first-page":"18","DOI":"10.4018\/IJERTCS.2017010102","volume":"8","author":"D Namiot","year":"2017","unstructured":"Namiot, D., Sneps-Sneppe, M.: On Internet of Things and big data in university courses. Int. J. Embed. Real-Time Commun. Syst. (IJERTCS) 8(1), 18\u201330 (2017)","journal-title":"Int. J. Embed. Real-Time Commun. Syst. (IJERTCS)"},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1007\/978-3-319-57135-5_14","volume-title":"Communications in Computer and Information Science","author":"Dmitry Namiot","year":"2017","unstructured":"Namiot, D., Sneps-Sneppe, M.: On data persistence models for mobile crowdsensing applications. In: Kalinichenko, L., Kuznetsov, S., Manolopoulos, Y. (eds.) Data Analytics and Management in Data Intensive Domains. DAMDID\/RCDL 2016. Communications in Computer and Information Science, vol. 706, pp. 192\u2013204. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-57135-5_14"},{"key":"5_CR8","unstructured":"Lambda architecture. http:\/\/lambda-architecture.net . Accessed 24 May 2018"},{"key":"5_CR9","unstructured":"Kappa Architecture. http:\/\/milinda.pathirage.org\/kappa-architecture.com . Accessed 24 May 2018"},{"key":"5_CR10","unstructured":"Questioning the Lambda Architecture. https:\/\/www.oreilly.com\/ideas\/questioning-the-lambda-architecture . Accessed 24 May 2018"},{"issue":"4","key":"5_CR11","first-page":"28","volume":"36","author":"P Carbone","year":"2015","unstructured":"Carbone, P., Katsifodimos, A., Ewen, S., Markl, V., Haridi, S., Tzoumas, K.: Apache flink: stream and batch processing in a single engine. Bull. IEEE Comput. Soc. Tech. Committee Data Eng. 36(4), 28\u201338 (2015)","journal-title":"Bull. IEEE Comput. Soc. Tech. Committee Data Eng."},{"issue":"12","key":"5_CR12","doi-asserted-by":"publisher","first-page":"1792","DOI":"10.14778\/2824032.2824076","volume":"8","author":"T Akidau","year":"2015","unstructured":"Akidau, T., et al.: The dataflow model: a practical approach to balancing correctness, latency, and cost in massive-scale, unbounded, out-of-order data processing. Proc. VLDB Endowment 8(12), 1792\u20131803 (2015)","journal-title":"Proc. VLDB Endowment"},{"key":"5_CR13","unstructured":"The world beyond batch: Streaming 101. https:\/\/www.oreilly.com\/ideas\/the-world-beyond-batch-streaming-101 . Accessed 24 May 2018"},{"issue":"4","key":"5_CR14","first-page":"45","volume":"37","author":"M Zaharia","year":"2012","unstructured":"Zaharia, M., et al.: Fast and interactive analytics over Hadoop data with Spark. USENIX Login 37(4), 45\u201351 (2012)","journal-title":"USENIX Login"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Apache Flink Windows. https:\/\/ci.apache.org\/projects\/flink\/flink-docs-release-1.1\/apis\/streaming\/windows.html . Accessed May 2018","DOI":"10.1007\/978-3-319-63962-8_303-1"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Sneps-Sneppe, M., Namiot, D.: About M2M standards and their possible extensions. In: 2012 2nd Baltic Congress on Future Internet Communications (BCFIC), pp. 187\u2013193. IEEE, April 2012","DOI":"10.1109\/BCFIC.2012.6218001"},{"issue":"8","key":"5_CR17","first-page":"48","volume":"3","author":"D Namiot","year":"2015","unstructured":"Namiot, D.: On big data stream processing. Int. J. Open Inf. Technol. 3(8), 48\u201351 (2015)","journal-title":"Int. J. Open Inf. Technol."},{"issue":"2","key":"5_CR18","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/776985.776986","volume":"32","author":"L Golab","year":"2003","unstructured":"Golab, L., \u00d6zsu, M.T.: Issues in data stream management. ACM SIGMOD Rec. 32(2), 5\u201314 (2003)","journal-title":"ACM SIGMOD Rec."},{"key":"5_CR19","unstructured":"Motwani, R., et al.: Query processing, resource management, and approximation in a data stream management system. In: CIDR, January 2003"},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"Gama, J., Gaber, M.M. (eds.): Learning from Data Streams: Processing Techniques in Sensor Networks. Springer, Heidelberg (2007)","DOI":"10.1007\/3-540-73679-4"},{"key":"5_CR21","unstructured":"Kreps, J., Narkhede, N., Rao, J.: Kafka: a distributed messaging system for log processing. In: Proceedings of the NetDB, pp. 1\u20137, June 2011"},{"key":"5_CR22","unstructured":"Gartner says the Internet of Things will transform the data center. http:\/\/www.gartner.com\/newsroom\/id\/2684616 . Accessed 24 May 2018"},{"key":"5_CR23","unstructured":"Standardization Activities of oneM2M. https:\/\/www.ntt-review.jp\/archive\/ntttechnical.php?contents=ntr201408gls.html . Accessed 24 May 2018"},{"issue":"2","key":"5_CR24","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1145\/1083784.1083789","volume":"34","author":"MM Gaber","year":"2005","unstructured":"Gaber, M.M., Zaslavsky, A., Krishnaswamy, S.: Mining data streams: a review. ACM SIGMOD Rec. 34(2), 18\u201326 (2005)","journal-title":"ACM SIGMOD Rec."},{"key":"5_CR25","doi-asserted-by":"crossref","unstructured":"Rivetti, N., Busnel, Y., Querzoni, L.: Load-aware shedding in stream processing systems. In: Proceedings of the 10th ACM International Conference on Distributed and Event-Based Systems, pp. 61\u201368. ACM, June 2016","DOI":"10.1145\/2933267.2933311"},{"key":"5_CR26","doi-asserted-by":"crossref","unstructured":"Babcock, B., Babu, S., Datar, M., Motwani, R., Widom, J.: Models and issues in data stream systems. In: Proceedings of the Twenty-First ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, pp. 1\u201316. ACM, June 2002","DOI":"10.1145\/543613.543615"},{"key":"5_CR27","doi-asserted-by":"crossref","unstructured":"Larsen, K.G., Nelson, J., Nguy\u00ean, H.L., Thorup, M.: Heavy hitters via cluster-preserving clustering. In: 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS), pp. 61\u201370. IEEE, October 2016","DOI":"10.1109\/FOCS.2016.16"},{"key":"5_CR28","unstructured":"Papadimitriou, S., Sun, J., Faloutsos, C.: Streaming pattern discovery in multiple time-series. In: Proceedings of the 31st International Conference on Very Large Data Bases, pp. 697\u2013708. VLDB Endowment, August 2005"},{"key":"5_CR29","unstructured":"Big Data Processing with Apache Spark - Part 3: Spark Streaming. https:\/\/www.infoq.com\/articles\/apache-spark-streaming . Accessed 24 May 2018"},{"issue":"3\/4","key":"5_CR30","doi-asserted-by":"publisher","first-page":"7:1","DOI":"10.1147\/JRD.2013.2243535","volume":"57","author":"M Hirzel","year":"2013","unstructured":"Hirzel, M., et al.: IBM streams processing language: analyzing big data in motion. IBM J. Res. Dev. 57(3\/4), 7:1\u20137:11 (2013)","journal-title":"IBM J. Res. Dev."}],"container-title":["Lecture Notes in Computer Science","Internet of Things, Smart Spaces, and Next Generation Networks and Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01168-0_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,24]],"date-time":"2019-10-24T20:58:22Z","timestamp":1571950702000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-01168-0_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030011673","9783030011680"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01168-0_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"ruSMART","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference on Internet of Things and Smart Spaces","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"St. Petersburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rusmart2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/rusmart.e-werest.org\/2018.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"EDAS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"186","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"64","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"34% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}