{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T22:08:57Z","timestamp":1726006137964},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030031008"},{"type":"electronic","value":"9783030031015"}],"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\/978-3-030-03101-5_23","type":"book-chapter","created":{"date-parts":[[2019,1,12]],"date-time":"2019-01-12T11:03:03Z","timestamp":1547290983000},"page":"277-288","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Adaptive ARMA Based Prediction of CPU Consumption of Servers into Datacenters"],"prefix":"10.1007","author":[{"given":"Fr\u00e9jus A. R.","family":"Gbaguidi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Selma","family":"Boumerdassi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruben","family":"Milocco","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eug\u00e9ne C.","family":"Ezin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,1,13]]},"reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Davis, I., Hemmati, H., Holt, R.C., Godfrey, M.W., Neuse, D., Mankovskii, S.: Storm prediction in a cloud. In: 2013 ICSE Workshop on Principles of Engineering Service-Oriented Systems (PESOS), pp. 37\u201340. IEEE (2013)","DOI":"10.1109\/PESOS.2013.6635975"},{"key":"23_CR2","doi-asserted-by":"crossref","unstructured":"Hao, M.C. et al.: A visual analytics approach for peak-preserving prediction of large seasonal time series. In: Computer Graphics Forum, vol. 30, pp. 691\u2013700. Wiley Online Library (2011)","DOI":"10.1111\/j.1467-8659.2011.01918.x"},{"key":"23_CR3","doi-asserted-by":"crossref","unstructured":"Hibon, M., Makridakis, S.: ARMA models and the Box-Jenkins methodology (1997)","DOI":"10.1002\/(SICI)1099-131X(199705)16:3<147::AID-FOR652>3.0.CO;2-X"},{"key":"23_CR4","volume-title":"A Practical Guide to Box-Jenkins Forecasting","author":"JC Hoff","year":"1983","unstructured":"Hoff, J.C.: A Practical Guide to Box-Jenkins Forecasting. Lifetime Learning Publications, Belmont (1983)"},{"issue":"2","key":"23_CR5","first-page":"375","volume":"9","author":"Q Huang","year":"2014","unstructured":"Huang, Q., Shuang, K., Xu, P., Li, J., Liu, X., Su, S.: Prediction-based dynamic resource scheduling for virtualized cloud systems. J. Netw. 9(2), 375\u2013383 (2014)","journal-title":"J. Netw."},{"issue":"6","key":"23_CR6","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1108\/eb039737","volume":"16","author":"IL Kellner","year":"1995","unstructured":"Kellner, I.L.: Turn down the heat. J. Bus. Strategy 16(6), 22\u201323 (1995)","journal-title":"J. Bus. Strategy"},{"issue":"1","key":"23_CR7","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/0304-4149(77)90052-7","volume":"5","author":"PM Robinson","year":"1977","unstructured":"Robinson, P.M.: The estimation of a nonlinear moving average model. Stoch. Process. Their Appl. 5(1), 81\u201390 (1977)","journal-title":"Stoch. Process. Their Appl."},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Roy, N., Dubey, A., Gokhale, A.: Efficient autoscaling in the cloud using predictive models for workload forecasting. In: 2011 IEEE International Conference on Cloud Computing (CLOUD), pp. 500\u2013507. IEEE (2011)","DOI":"10.1109\/CLOUD.2011.42"},{"key":"23_CR9","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1098\/rsta.1927.0007","volume":"226","author":"GU Yule","year":"1927","unstructured":"Yule, G.U.: On a method of investigating periodicities in disturbed series, with special reference to Wolfer\u2019s sunspot numbers. Philos. Trans. R. Soc. Lond. Ser. A 226, 267\u2013298 (1927)","journal-title":"Philos. Trans. R. Soc. Lond. Ser. A"},{"issue":"1\u20132","key":"23_CR10","first-page":"149","volume":"6","author":"T Vondra","year":"2013","unstructured":"Vondra, T., Sedivy, J.: Maximizing utilization in private iaas clouds with heterogenous load through time series forecasting. Int. J. Adv. Syst. Meas. 6(1\u20132), 149\u2013165 (2013)","journal-title":"Int. J. Adv. Syst. Meas."},{"key":"23_CR11","unstructured":"Wilkes, J.: More Google cluster data. Google research blog, November 2011"}],"container-title":["Lecture Notes in Computer Science","Mobile, Secure, and Programmable Networking"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-03101-5_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T07:42:12Z","timestamp":1573717332000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-03101-5_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030031008","9783030031015"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-03101-5_23","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":"13 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MSPN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Mobile, Secure, and Programmable Networking","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Paris","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","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":"18 June 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mspn2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.adda-association.org\/mspn\/Home.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"52","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"27","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":"52% - 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":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}