{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T10:29:53Z","timestamp":1743071393268,"version":"3.40.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030317836"},{"type":"electronic","value":"9783030317843"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-31784-3_8","type":"book-chapter","created":{"date-parts":[[2019,10,20]],"date-time":"2019-10-20T21:32:04Z","timestamp":1571607124000},"page":"133-150","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Adaptive Online First-Order Monitoring"],"prefix":"10.1007","author":[{"given":"Joshua","family":"Schneider","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Basin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frederik","family":"Brix","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sr\u0111an","family":"Krsti\u0107","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dmitriy","family":"Traytel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,10,21]]},"reference":[{"issue":"9","key":"8_CR1","doi-asserted-by":"publisher","first-page":"1282","DOI":"10.1109\/TKDE.2011.47","volume":"23","author":"FN Afrati","year":"2011","unstructured":"Afrati, F.N., Ullman, J.D.: Optimizing multiway joins in a map-reduce environment. IEEE Trans. Knowl. Data Eng. 23(9), 1282\u20131298 (2011)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"6","key":"8_CR2","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1007\/s00778-014-0357-y","volume":"23","author":"A Alexandrov","year":"2014","unstructured":"Alexandrov, A., et al.: The Stratosphere platform for big data analytics. VLDB J. 23(6), 939\u2013964 (2014)","journal-title":"VLDB J."},{"issue":"POPL","key":"8_CR3","first-page":"50:1","volume":"3","author":"R Alur","year":"2019","unstructured":"Alur, R., Mamouras, K., Stanford, C.: Modular quantitative monitoring. PACMPL 3(POPL), 50:1\u201350:31 (2019)","journal-title":"PACMPL"},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Aniello, L., Baldoni, R., Querzoni, L.: Adaptive online scheduling in Storm. In: DEBS 2013, pp. 207\u2013218. ACM (2013)","DOI":"10.1145\/2488222.2488267"},{"key":"8_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1007\/978-3-642-35632-2_20","volume-title":"Runtime Verification","author":"B Barre","year":"2013","unstructured":"Barre, B., Klein, M., Soucy-Boivin, M., Ollivier, P.-A., Hall\u00e9, S.: MapReduce for parallel trace validation of LTL properties. In: Qadeer, S., Tasiran, S. (eds.) RV 2012. LNCS, vol. 7687, pp. 184\u2013198. Springer, Heidelberg (2013). \nhttps:\/\/doi.org\/10.1007\/978-3-642-35632-2_20"},{"issue":"1\u20132","key":"8_CR6","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1007\/s10703-016-0242-y","volume":"49","author":"D Basin","year":"2016","unstructured":"Basin, D., Caronni, G., Ereth, S., Harvan, M., Klaedtke, F., Mantel, H.: Scalable offline monitoring of temporal specifications. Form. Methods Syst. Des. 49(1\u20132), 75\u2013108 (2016)","journal-title":"Form. Methods Syst. Des."},{"issue":"2","key":"8_CR7","doi-asserted-by":"publisher","first-page":"15:1","DOI":"10.1145\/2699444","volume":"62","author":"D Basin","year":"2015","unstructured":"Basin, D., Klaedtke, F., M\u00fcller, S., Z\u0103linescu, E.: Monitoring metric first-order temporal properties. J. ACM 62(2), 15:1\u201315:45 (2015)","journal-title":"J. ACM"},{"key":"8_CR8","unstructured":"Basin, D., Klaedtke, F., Z\u0103linescu, E.: The MonPoly monitoring tool. In: Reger, G., Havelund, K. (eds.) RV-CuBES 2017. Kalpa Publications in Computing, vol. 3, pp. 19\u201328. EasyChair (2017)"},{"issue":"2","key":"8_CR9","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1016\/j.ipl.2014.09.009","volume":"115","author":"D Basin","year":"2015","unstructured":"Basin, D., Klaedtke, F., Z\u0103linescu, E.: Greedily computing associative aggregations on sliding windows. Inf. Process. Lett. 115(2), 186\u2013192 (2015)","journal-title":"Inf. Process. Lett."},{"issue":"6","key":"8_CR10","doi-asserted-by":"publisher","first-page":"40:1","DOI":"10.1145\/3125644","volume":"64","author":"P Beame","year":"2017","unstructured":"Beame, P., Koutris, P., Suciu, D.: Communication steps for parallel query processing. J. ACM 64(6), 40:1\u201340:58 (2017)","journal-title":"J. ACM"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Bersani, M.M., Bianculli, D., Ghezzi, C., Krsti\u0107, S., Pietro, P.S.: Efficient large-scale trace checking using MapReduce. In: Dillon, L.K., Visser, W., Williams, L. (eds.) ICSE 2016. pp. 888\u2013898. ACM (2016)","DOI":"10.1145\/2884781.2884832"},{"key":"8_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1007\/978-3-319-10431-7_11","volume-title":"Software Engineering and Formal Methods","author":"D Bianculli","year":"2014","unstructured":"Bianculli, D., Ghezzi, C., Krsti\u0107, S.: Trace checking of metric temporal logic with aggregating modalities using MapReduce. In: Giannakopoulou, D., Sala\u00fcn, G. (eds.) SEFM 2014. LNCS, vol. 8702, pp. 144\u2013158. Springer, Cham (2014). \nhttps:\/\/doi.org\/10.1007\/978-3-319-10431-7_11"},{"issue":"1\u20133","key":"8_CR13","first-page":"1","volume":"4","author":"G Cormode","year":"2012","unstructured":"Cormode, G., Garofalakis, M.N., Haas, P.J., Jermaine, C.: Synopses for massive data: samples, histograms, wavelets, sketches. Found. Trends Databases 4(1\u20133), 1\u2013294 (2012)","journal-title":"Found. Trends Databases"},{"issue":"6","key":"8_CR14","first-page":"441","volume":"7","author":"M Elseidy","year":"2014","unstructured":"Elseidy, M., Elguindy, A., Vitorovic, A., Koch, C.: Scalable and adaptive online joins. PVLDB 7(6), 441\u2013452 (2014)","journal-title":"PVLDB"},{"issue":"1","key":"8_CR15","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1186\/s13677-015-0032-x","volume":"4","author":"S Hall\u00e9","year":"2015","unstructured":"Hall\u00e9, S., Soucy-Boivin, M.: MapReduce for parallel trace validation of LTL properties. J. Cloud Comput. 4(1), 8 (2015)","journal-title":"J. Cloud Comput."},{"issue":"9","key":"8_CR16","first-page":"1002","volume":"12","author":"M Hoffmann","year":"2019","unstructured":"Hoffmann, M., Lattuada, A., McSherry, F., Kalavri, V., Liagouris, J., Roscoe, T.: Megaphone: latency-conscious state migration for distributed streaming dataflows. PVLDB 12(9), 1002\u20131015 (2019)","journal-title":"PVLDB"},{"key":"8_CR17","unstructured":"Kalavri, V., Liagouris, J., Hoffmann, M., Dimitrova, D.C., Forshaw, M., Roscoe, T.: Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows. In: Arpaci-Dusseau, A.C., Voelker, G. (eds.) OSDI 2018, pp. 783\u2013798. USENIX Association (2018)"},{"issue":"11","key":"8_CR18","first-page":"1346","volume":"11","author":"I Kolchinsky","year":"2018","unstructured":"Kolchinsky, I., Schuster, A.: Efficient adaptive detection of complex event patterns. PVLDB 11(11), 1346\u20131359 (2018)","journal-title":"PVLDB"},{"issue":"6","key":"8_CR19","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1145\/3140587.3062369","volume":"52","author":"Konstantinos Mamouras","year":"2017","unstructured":"Mamouras, K., Raghothaman, M., Alur, R., Ives, Z.G., Khanna, S.: StreamQRE: modular specification and efficient evaluation of quantitative queries over streaming data. In: Cohen, A., Vechev, M.T. (eds.) PLDI 2017, pp. 693\u2013708. ACM (2017)","journal-title":"ACM SIGPLAN Notices"},{"key":"8_CR20","doi-asserted-by":"crossref","unstructured":"Mayer, R., Tariq, M.A., Rothermel, K.: Minimizing communication overhead in window-based parallel complex event processing. In: DEBS 2017, pp. 54\u201365. ACM (2017)","DOI":"10.1145\/3093742.3093914"},{"key":"8_CR21","doi-asserted-by":"crossref","unstructured":"Murray, D.G., McSherry, F., Isaacs, R., Isard, M., Barham, P., Abadi, M.: Naiad: a timely dataflow system. In: Kaminsky, M., Dahlin, M. (eds.) SOSP 2013, pp. 439\u2013455. ACM (2013)","DOI":"10.1145\/2517349.2522738"},{"key":"8_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1007\/978-3-319-23820-3_14","volume-title":"Runtime Verification","author":"G Reger","year":"2015","unstructured":"Reger, G., Rydeheard, D.: From first-order temporal logic to parametric trace slicing. In: Bartocci, E., Majumdar, R. (eds.) RV 2015. LNCS, vol. 9333, pp. 216\u2013232. Springer, Cham (2015). \nhttps:\/\/doi.org\/10.1007\/978-3-319-23820-3_14"},{"key":"8_CR23","doi-asserted-by":"crossref","unstructured":"Ro\u015fu, G., Chen, F.: Semantics and algorithms for parametric monitoring. Log. Methods Comput. Sci. 8(1:9), 1\u201347 (2012)","DOI":"10.2168\/LMCS-8(1:9)2012"},{"key":"8_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1007\/978-3-030-03769-7_20","volume-title":"Runtime Verification","author":"J Schneider","year":"2018","unstructured":"Schneider, J., Basin, D., Brix, F., Krsti\u0107, S., Traytel, D.: Scalable online first-order monitoring. In: Colombo, C., Leucker, M. (eds.) RV 2018. LNCS, vol. 11237, pp. 353\u2013371. Springer, Cham (2018). \nhttps:\/\/doi.org\/10.1007\/978-3-030-03769-7_20"},{"key":"8_CR25","unstructured":"Schneider, J., Basin, D., Brix, F., Krsti\u0107, S., Traytel, D.: Artifact associated with this paper (2019). \nhttps:\/\/bitbucket.org\/jshs\/monpoly\/downloads\/aom_atva2019.zip"},{"key":"8_CR26","doi-asserted-by":"crossref","unstructured":"Schneider, J., Basin, D., Krsti\u0107, S., Traytel, D.: A formally verified monitor for metric first-order temporal logic. In: Finkbeiner, B., Mariani, L. (eds.) RV 2019. LNCS, Springer (2019, to appear). \nhttp:\/\/people.inf.ethz.ch\/trayteld\/papers\/rv19-verimon\/verimon.pdf","DOI":"10.1007\/978-3-030-32079-9_18"},{"key":"8_CR27","unstructured":"Shah, M.A., Hellerstein, J.M., Chandrasekaran, S., Franklin, M.J.: Flux: an adaptive partitioning operator for continuous query systems. In: Dayal, U., Ramamritham, K., Vijayaraman, T.M. (eds.) ICDE 2003, pp. 25\u201336. IEEE (2003)"},{"issue":"13","key":"8_CR28","first-page":"1553","volume":"9","author":"A Vitorovic","year":"2016","unstructured":"Vitorovic, A., et al.: Squall: Scalable real-time analytics. PVLDB 9(13), 1553\u20131556 (2016)","journal-title":"PVLDB"}],"container-title":["Lecture Notes in Computer Science","Automated Technology for Verification and Analysis"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-31784-3_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T13:29:03Z","timestamp":1573738143000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-31784-3_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030317836","9783030317843"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-31784-3_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"21 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ATVA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Automated Technology for Verification and Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taipei","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"atva2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/atva2019.iis.sinica.edu.tw\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Open","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"87","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33% - 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 (provided by the conference organizers)"}},{"value":"3.4","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Between 1 and 2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}