{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T07:04:42Z","timestamp":1743059082907,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030507183"},{"type":"electronic","value":"9783030507190"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-50719-0_14","type":"book-chapter","created":{"date-parts":[[2020,6,17]],"date-time":"2020-06-17T23:09:17Z","timestamp":1592435357000},"page":"185-198","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Performance Evaluations of a Cloud Computing Physical Machine with Task Reneging and Task Resubmission (Feedback)"],"prefix":"10.1007","author":[{"given":"Godlove Suila","family":"Kuaban","sequence":"first","affiliation":[]},{"given":"Bhavneet Singh","family":"Soodan","sequence":"additional","affiliation":[]},{"given":"Rakesh","family":"Kumar","sequence":"additional","affiliation":[]},{"given":"Piotr","family":"Czekalski","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,6,18]]},"reference":[{"issue":"5","key":"14_CR1","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1145\/3241737","volume":"51","author":"R Buyya","year":"2018","unstructured":"Buyya, R., et al.: A manifesto for future generation cloud computing: research directions for the next decade. ACM Comput. Surv. 51(5), 38 (2018). https:\/\/doi.org\/10.1145\/3241737. Article no. 105","journal-title":"ACM Comput. Surv."},{"issue":"1","key":"14_CR2","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1109\/TCC.2015.2396059","volume":"5","author":"A Paya","year":"2017","unstructured":"Paya, A., Marinescu, D.C.: Energy-aware load balancing and application scaling for the cloud ecosystem. IEEE Trans. Cloud Comput 5(1), 15\u201327 (2017)","journal-title":"IEEE Trans. Cloud Comput"},{"issue":"3","key":"14_CR3","first-page":"560","volume":"25","author":"D Bruneo","year":"2014","unstructured":"Bruneo, D.: A stochastic model to investigate data center performance and QoS in IaaS cloud computing systems. IEEE Trans. Cloud Comput. 25(3), 560\u2013569 (2014)","journal-title":"IEEE Trans. Cloud Comput."},{"issue":"3","key":"14_CR4","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1109\/TSC.2014.2365783","volume":"9","author":"YJ Chiang","year":"2016","unstructured":"Chiang, Y.J., Ouyang, Y.C., Hsu, C.H.: Performance and cost-effectiveness analyses for cloud services based on rejected. IEEE Trans. Serv. Comput. 9(3), 446\u2013455 (2016)","journal-title":"IEEE Trans. Serv. Comput."},{"issue":"7","key":"14_CR5","doi-asserted-by":"publisher","first-page":"2103","DOI":"10.1109\/TPDS.2016.2642941","volume":"28","author":"S Homsi","year":"2017","unstructured":"Homsi, S., Liu, S., Chaparro-Baquero, A., Bai, O., Ren, S., Quan, G.: Workload consolidation for cloud data centers with guaranteed QoS using request reneging. IEEE Trans. Parallel Distrib. Syst. 28(7), 2103\u20132116 (2017)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"14_CR6","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1007\/978-3-030-21952-9_23","volume-title":"Computer Networks","author":"Y Ait El Mahjoub","year":"2019","unstructured":"Ait El Mahjoub, Y., Fourneau, J.-M., Castel-Taleb, H.: Analysis of energy consumption in cloud center with tasks migrations. In: Gaj, P., Sawicki, M., Kwiecie\u0144, A. (eds.) CN 2019. CCIS, vol. 1039, pp. 301\u2013315. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-21952-9_23"},{"key":"14_CR7","unstructured":"Mishra, S.K., Sahoo, B., Parida, P.P.: Load balancing in cloud computing: a big picture. Advances in Big Data and Cloud Computing. J. King Saud Univ. - Comput. Inf. Sci. (2018)"},{"issue":"12","key":"14_CR8","first-page":"12741","volume":"119","author":"S Gupta","year":"2018","unstructured":"Gupta, S., Arora, S.: Queueing system in cloud services management: a survey. Int. J. Pure Appl. Math. 119(12), 12741\u201312753 (2018)","journal-title":"Int. J. Pure Appl. Math."},{"issue":"1","key":"14_CR9","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1007\/s11227-014-1177-y","volume":"69","author":"J Vilaplana","year":"2014","unstructured":"Vilaplana, J., et al.: A queueing theory model for cloud computing. J. Supercomput. 69(1), 492\u2013507 (2014)","journal-title":"J. Supercomput."},{"key":"14_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/978-3-030-36614-8_4","volume-title":"Distributed Computer and Communication Networks","author":"T Czach\u00f3rski","year":"2019","unstructured":"Czach\u00f3rski, T., Kuaban, G.S., Nycz, T.: Multichannel diffusion approximation models for the evaluation of multichannel communication networks. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds.) DCCN 2019. LNCS, vol. 11965, pp. 43\u201357. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-36614-8_4"},{"issue":"2","key":"14_CR11","first-page":"1547","volume":"33","author":"S Vetha","year":"2017","unstructured":"Vetha, S., Devi, V.: Dynamic resource allocation in cloud using queueing model. J. Ind. Pollut. Control 33(2), 1547\u20131554 (2017)","journal-title":"J. Ind. Pollut. Control"},{"issue":"1","key":"14_CR12","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/TST.2015.7040511","volume":"20","author":"C Cheng","year":"2015","unstructured":"Cheng, C., Li, J., Wang, Y.: An energy-saving task scheduling strategy based on vacation queuing theory in cloud computing. Tsinghua Sci. Technol. 20(1), 28\u201339 (2015)","journal-title":"Tsinghua Sci. Technol."},{"key":"14_CR13","doi-asserted-by":"publisher","first-page":"7789","DOI":"10.1007\/s13369-018-3196-0","volume":"43","author":"S ElKafhali","year":"2018","unstructured":"ElKafhali, S., Salah, K.: Modelling and analysis of performance and consumption in cloud data centers. Arab. J. Sci. Eng. 43, 7789\u20137802 (2018)","journal-title":"Arab. J. Sci. Eng."},{"key":"14_CR14","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.dcan.2016.12.002","volume":"3","author":"Q Duan","year":"2017","unstructured":"Duan, Q., Yu, S., Zhang, Z.: Cloud service performance evaluation: status, challenges, and opportunities - a survey from the system modeling perspective. Digit. Commun. Netw. 3, 101\u2013111 (2017)","journal-title":"Digit. Commun. Netw."},{"issue":"8","key":"14_CR15","doi-asserted-by":"publisher","first-page":"1280","DOI":"10.1016\/j.camwa.2009.01.017","volume":"57","author":"RO Al-Seedy","year":"2009","unstructured":"Al-Seedy, R.O., El-Sherbiny, A.A., El-Shehawy, S.A., Ammar, S.I.: Transient solution of the $$M\/M\/c$$ queue with balking and reneging: a survey. Comput. Math. Appl. 57(8), 1280\u20131285 (2009)","journal-title":"Comput. Math. Appl."},{"issue":"2A","key":"14_CR16","first-page":"1","volume":"3","author":"R Kumar","year":"2013","unstructured":"Kumar, R., Sharma, S.K.: M\/M\/1 feedback queueing models with retention of reneged customers and balking. Am. J. Oper. Res. 3(2A), 1\u20136 (2013)","journal-title":"Am. J. Oper. Res."},{"key":"14_CR17","unstructured":"Karina, V., Rodriguez, Q., Guillemin, F.: Performance analysis of resource pooling for network function virtualization. Psicologia: Reflexao e Cr\u00edtica, Universidade Federal do Rio Grande do Sul, 2016. hal-01621281 (2016)"},{"key":"14_CR18","volume-title":"Profit Optimization in SLA-Aware Cloud Services with a Finite Capacity Queuing Model Mathematical Problems in Engineering","author":"Y Chiang","year":"2014","unstructured":"Chiang, Y., Ouyang, Y.: Profit Optimization in SLA-Aware Cloud Services with a Finite Capacity Queuing Model Mathematical Problems in Engineering. Hindawi Publishing Corporation, London (2014)"},{"issue":"2","key":"14_CR19","doi-asserted-by":"publisher","first-page":"524","DOI":"10.1109\/TCC.2016.2617374","volume":"7","author":"F Farahnakian","year":"2019","unstructured":"Farahnakian, F., Pahikkala, T., Liljeberg, P., Plosila, J., Hieu, N.T., Tenhunen, H.: Energy-aware VM consolidation in cloud data centers using utilization prediction model. IEEE Trans. Cloud Comput. 7(2), 524\u2013536 (2019)","journal-title":"IEEE Trans. Cloud Comput."},{"key":"14_CR20","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.future.2018.09.014","volume":"91","author":"A Arunarani","year":"2019","unstructured":"Arunarani, A., Manjula, D., Sugumaran, V.: Task scheduling techniques in cloud computing: a literature survey. Future Gener. Comput. Syst. 91, 407\u2013415 (2019)","journal-title":"Future Gener. Comput. Syst."},{"key":"14_CR21","doi-asserted-by":"publisher","first-page":"640650","DOI":"10.1016\/j.future.2015.08.006","volume":"56","author":"M Abdullahi","year":"2016","unstructured":"Abdullahi, M., Ngadi, M.A., Abdulhamid, S.M.: Symbiotic organism search optimization based task scheduling in cloud computing environment. Future Gener. Comput. Syst. 56, 640650 (2016)","journal-title":"Future Gener. Comput. Syst."},{"issue":"1","key":"14_CR22","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1109\/TCC.2015.2474406","volume":"6","author":"W Wang","year":"2018","unstructured":"Wang, W., Gelenbe, E.: Adaptive dispatching of tasks in the cloud. IEEE Trans. Cloud Comput. 6(1), 33\u201345 (2018)","journal-title":"IEEE Trans. Cloud Comput."},{"issue":"1","key":"14_CR23","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1109\/TCC.2015.2481400","volume":"6","author":"L Wei","year":"2018","unstructured":"Wei, L., Foh, C.H., He, B., Cai, J.: Towards efficient resource allocation for heterogeneous workloads in IaaS clouds. IEEE Trans. Cloud Comput. 6(1), 264\u2013275 (2018)","journal-title":"IEEE Trans. Cloud Comput."},{"issue":"4","key":"14_CR24","first-page":"46","volume":"14","author":"R Kumar","year":"2019","unstructured":"Kumar, R., Soodan, B.S.: Transient numerical analysis of a queueing model with correlated reneging, balking and feedback. Reliab.: Theory Appl. 14(4), 46\u201354 (2019)","journal-title":"Reliab.: Theory Appl."}],"container-title":["Communications in Computer and Information Science","Computer Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50719-0_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T11:37:21Z","timestamp":1710243441000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-50719-0_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030507183","9783030507190"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50719-0_14","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"18 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gda\u0144sk","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cn2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/cn.polsl.pl\/","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 (provided by the conference organizers)"}},{"value":"eConf","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"34","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":"14","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":"41% - 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","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":"1.9","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}