{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:52:39Z","timestamp":1740099159004,"version":"3.37.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319992402"},{"type":"electronic","value":"9783319992419"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-99241-9_7","type":"book-chapter","created":{"date-parts":[[2018,8,21]],"date-time":"2018-08-21T06:40:36Z","timestamp":1534833636000},"page":"149-165","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Search-Based Stress Testing the Elastic Resource Provisioning for Cloud-Based Applications"],"prefix":"10.1007","author":[{"given":"Abdullah","family":"Alourani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md. Abu Naser","family":"Bikas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Grechanik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,22]]},"reference":[{"key":"7_CR1","unstructured":"TICLE source code and experimental data (2018). https:\/\/www.dropbox.com\/s\/c2rs5afh5g4icdl\/TICLEProject.zip?dl=0"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Albonico, M., Mottu, J.M., Suny\u00e9, G.: Controlling the elasticity of web applications on cloud computing. In: Proceedings of the 31st Annual ACM Symposium on Applied Computing, SAC 2016, pp. 816\u2013819. ACM, New York (2016)","DOI":"10.1145\/2851613.2852004"},{"key":"7_CR3","unstructured":"AWS: What is auto scaling? (2018). http:\/\/docs.aws.amazon.com"},{"key":"7_CR4","volume-title":"Software Testing Techniques","author":"B Beizer","year":"2003","unstructured":"Beizer, B.: Software Testing Techniques. Dreamtech Press, New Delhi (2003)"},{"key":"7_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/bs.adcom.2016.04.001","volume":"103","author":"MAN Bikas","year":"2016","unstructured":"Bikas, M.A.N., Alourani, A., Grechanik, M.: How elasticity property plays an important role in the cloud: a survey. Adv. Comput. 103, 1\u201330 (2016). https:\/\/doi.org\/10.1016\/bs.adcom.2016.04.001","journal-title":"Adv. Comput."},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Bodik, P., Fox, A., Franklin, M.J., Jordan, M.I., Patterson, D.A.: Characterizing, modeling, and generating workload spikes for stateful services. In: Proceedings of the 1st ACM Symposium on Cloud Computing, pp. 241\u2013252. ACM (2010)","DOI":"10.1145\/1807128.1807166"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Chen, F., Grundy, J., Schneider, J.G., Yang, Y., He, Q.: StressCloud: a tool for analysing performance and energy consumption of cloud applications. In: Proceedings of the 37th International Conference on Software Engineering, vol. 2, pp. 721\u2013724. IEEE Press (2015)","DOI":"10.1109\/ICSE.2015.232"},{"key":"7_CR8","unstructured":"crawler4j: Open source web crawler for Java (2018). https:\/\/github.com\/yasserg\/crawler4j"},{"issue":"2","key":"7_CR9","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. Trans. Evol. Comput. 6(2), 182\u2013197 (2002)","journal-title":"Trans. Evol. Comput."},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"DeCandia, G., et al.: Dynamo: Amazon\u2019s highly available key-value store. In: ACM SIGOPS Operating Systems Review, vol. 41, pp. 205\u2013220. ACM (2007)","DOI":"10.1145\/1323293.1294281"},{"issue":"10","key":"7_CR11","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1016\/j.advengsoft.2011.05.014","volume":"42","author":"JJ Durillo","year":"2011","unstructured":"Durillo, J.J., Nebro, A.J.: jMetal: a Java framework for multi-objective optimization. Adv. Eng. Softw. 42(10), 760\u2013771 (2011)","journal-title":"Adv. Eng. Softw."},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"Gambi, A., Hummer, W., Dustdar, S.: Automated testing of cloud-based elastic systems with AUToCLES. In: 2013 IEEE\/ACM 28th International Conference on Automated Software Engineering, ASE, pp. 714\u2013717. IEEE (2013)","DOI":"10.1109\/ASE.2013.6693140"},{"key":"7_CR13","unstructured":"Google: Autoscaling groups of instances (2018). https:\/\/cloud.google.com"},{"key":"7_CR14","doi-asserted-by":"publisher","unstructured":"Grechanik, M., Luo, Q., Poshyvanyk, D., Porter, A.: Enhancing rules for cloud resource provisioning via learned software performance models. In: Proceedings of the 7th ACM\/SPEC International Conference on Performance Engineering, ICPE 2016, Delft, The Netherlands, 12\u201316 March 2016, pp. 209\u2013214 (2016). https:\/\/doi.org\/10.1145\/2851553.2851568","DOI":"10.1145\/2851553.2851568"},{"key":"7_CR15","volume-title":"Apache JMeter","author":"E Halili","year":"2008","unstructured":"Halili, E.: Apache JMeter. Packt Publishing, Birmingham (2008)"},{"key":"7_CR16","unstructured":"Herbst, N.R., Kounev, S., Reussner, R.: Elasticity in cloud computing: what it is, and what it is not. In: Proceedings of the 10th International Conference on Autonomic Computing, ICAC 2013, pp. 23\u201327. USENIX, San Jose (2013)"},{"key":"7_CR17","volume-title":"Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence","author":"JH Holland","year":"1975","unstructured":"Holland, J.H.: Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence. U Michigan Press, Ann Arbor (1975)"},{"key":"7_CR18","doi-asserted-by":"crossref","unstructured":"Islam, S., Lee, K., Fekete, A., Liu, A.: How a consumer can measure elasticity for cloud platforms. In: Proceedings of the 3rd ACM\/SPEC International Conference on Performance Engineering, ICPE 2012, pp. 85\u201396. ACM, New York (2012)","DOI":"10.1145\/2188286.2188301"},{"key":"7_CR19","volume-title":"Software Maintenance Management","author":"BP Lientz","year":"1980","unstructured":"Lientz, B.P., Swanson, E.B.: Software Maintenance Management. Addison-Wesley, Boston (1980)"},{"key":"7_CR20","doi-asserted-by":"crossref","unstructured":"Liu, Z., Cho, S.: Characterizing machines and workloads on a Google cluster. In: Proceedings of the 2012 41st International Conference on Parallel Processing Workshops, ICPPW 2012, pp. 397\u2013403. IEEE Computer Society, Washington (2012)","DOI":"10.1109\/ICPPW.2012.57"},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Mao, M., Humphrey, M.: A performance study on the VM startup time in the cloud. In: Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, CLOUD 2012, pp. 423\u2013430. IEEE Computer Society, Washington (2012)","DOI":"10.1109\/CLOUD.2012.103"},{"issue":"12","key":"7_CR22","doi-asserted-by":"publisher","first-page":"1066","DOI":"10.1145\/33447.33452","volume":"30","author":"H Mendelson","year":"1987","unstructured":"Mendelson, H.: Economies of scale in computing: Grosch\u2019s law revisited. Commun. ACM 30(12), 1066\u20131072 (1987)","journal-title":"Commun. ACM"},{"key":"7_CR23","doi-asserted-by":"crossref","unstructured":"Mian, R., Martin, P., Zulkernine, F., Vazquez-Poletti, J.L.: Towards building performance models for data-intensive workloads in public clouds. In: Proceedings of the 4th ACM\/SPEC International Conference on Performance Engineering, ICPE 2013, pp. 259\u2013270. ACM, New York (2013)","DOI":"10.1145\/2479871.2479908"},{"key":"7_CR24","unstructured":"MSAzure: Autoscaling (2018). https:\/\/docs.microsoft.com"},{"key":"7_CR25","doi-asserted-by":"crossref","unstructured":"Perez-Palacin, D., Mirandola, R., Scoppetta, M.: Simulation of techniques to improve the utilization of cloud elasticity in workload-aware adaptive software. In: Companion Publication for ACM\/SPEC on International Conference on Performance Engineering, ICPE 2016 Companion, pp. 51\u201356. ACM, New York (2016)","DOI":"10.1145\/2859889.2859897"},{"key":"7_CR26","unstructured":"Mell, P., Grance, T.: The NIST Definition of Cloud Computing (2009). http:\/\/csrc.nist.gov\/groups\/SNS\/cloud-computing\/cloud-def-v15.doc"},{"key":"7_CR27","doi-asserted-by":"crossref","unstructured":"Shen, D., Luo, Q., Poshyvanyk, D., Grechanik, M.: Automating performance bottleneck detection using search-based application profiling. In: Proceedings of the 2015 International Symposium on Software Testing and Analysis, pp. 270\u2013281. ACM (2015)","DOI":"10.1145\/2771783.2771816"},{"key":"7_CR28","doi-asserted-by":"crossref","unstructured":"Snellman, N., Ashraf, A., Porres, I.: Towards automatic performance and scalability testing of rich internet applications in the cloud. In: SEAA 2011, pp. 161\u2013169. IEEE (2011)","DOI":"10.1109\/SEAA.2011.33"},{"key":"7_CR29","unstructured":"van der Meulen, R.: Gartner says by 2020 \u201ccloud shift\u201d will affect more than \\$1 trillion in it spending (2018). http:\/\/www.gartner.com\/newsroom\/id\/3384720"},{"key":"7_CR30","doi-asserted-by":"crossref","unstructured":"Xiao, X., Han, S., Zhang, D., Xie, T.: Context-sensitive delta inference for identifying workload-dependent performance bottlenecks. In: ISSTA 2013, pp. 90\u2013100 (2013)","DOI":"10.1145\/2483760.2483784"},{"key":"7_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1007\/978-3-540-30217-9_84","volume-title":"Parallel Problem Solving from Nature - PPSN VIII","author":"E Zitzler","year":"2004","unstructured":"Zitzler, E., K\u00fcnzli, S.: Indicator-based selection in multiobjective search. In: Yao, X. (ed.) PPSN 2004. LNCS, vol. 3242, pp. 832\u2013842. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-30217-9_84"}],"container-title":["Lecture Notes in Computer Science","Search-Based Software Engineering"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99241-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,22]],"date-time":"2019-10-22T13:34:09Z","timestamp":1571751249000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-99241-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319992402","9783319992419"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99241-9_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]}}}