{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T10:39:44Z","timestamp":1742985584879,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":38,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811557637"},{"type":"electronic","value":"9789811557644"}],"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\/978-981-15-5764-4_12","type":"book-chapter","created":{"date-parts":[[2020,5,20]],"date-time":"2020-05-20T10:03:54Z","timestamp":1589969034000},"page":"127-140","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Artificial Intelligent Agent for Energy Savings in Cloud Computing Environment: Implementation and Performance Evaluation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0946-1818","authenticated-orcid":false,"given":"Leila","family":"Ismail","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3176-245X","authenticated-orcid":false,"given":"Huned","family":"Materwala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,5,21]]},"reference":[{"key":"12_CR1","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1136\/emj.2010.096966","volume":"145","author":"P Mell","year":"2011","unstructured":"Mell, P., Grance, T.: The NIST definition of cloud computing recommendations of the national institute of standards and technology. NIST Spec. Publ. 145, 7 (2011). https:\/\/doi.org\/10.1136\/emj.2010.096966","journal-title":"NIST Spec. Publ."},{"key":"12_CR2","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.compbiomed.2019.04.039","volume":"110","author":"A Richter","year":"2019","unstructured":"Richter, A., Khoshgoftaar, T.: Efficient learning from big data for cancer risk modeling: a case study with melanoma. Comput. Biol. Med. 110, 29\u201339 (2019)","journal-title":"Comput. Biol. Med."},{"issue":"9","key":"12_CR3","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.1002\/dac.2417","volume":"25","author":"Feng Xia","year":"2012","unstructured":"Xia, F., Yang, L.T., Wang, L., Vinel, A.: Internet of things. Int. J. Commun. Syst. 25 (2012)","journal-title":"International Journal of Communication Systems"},{"key":"12_CR4","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1016\/j.future.2018.12.044","volume":"95","author":"A Al Omar","year":"2019","unstructured":"Al Omar, A., Alam Bhuiyan, Z.M., Basu, A., Kiyomoto, S.: Privacy-friendly platform for healthcare data in cloud based on blockchain environment. Futur. Gener. Comput. Syst. 95, 511\u2013521 (2019)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"12_CR5","unstructured":"DELFORGE P (2015) America\u2019s Data Centers Consuming and Wasting Growing Amounts of Energy| NRDC. https:\/\/www.nrdc.org\/resources\/americas-data-centers-consuming-and-wasting-growing-amounts-energy. Accessed 10 Sep 2019"},{"key":"12_CR6","unstructured":"Vidal J Global carbon emission. https:\/\/www.climatechangenews.com\/2017\/12\/11\/tsunami-data-consume-one-fifth-global-electricity-2025\/"},{"issue":"1","key":"12_CR7","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.energy.2012.04.037","volume":"43","author":"Severin Zimmermann","year":"2012","unstructured":"Greenberg, S., Mills, E., Tschudi, B., Berkeley, L.: Best practices for data centers\u202f: lessons learned from benchmarking 22 data centers T. Aceee SUMMER, 76\u201387 (2006). https:\/\/doi.org\/10.1016\/j.energy.2012.04.037","journal-title":"Energy"},{"key":"12_CR8","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1016\/j.enbuild.2014.10.058","volume":"86","author":"SW Ham","year":"2015","unstructured":"Ham, S.W., Kim, M.H., Choi, B.N., Jeong, J.W.: Simplified server model to simulate data center cooling energy consumption. Energy Build. 86, 328\u2013339 (2015). https:\/\/doi.org\/10.1016\/j.enbuild.2014.10.058","journal-title":"Energy Build."},{"key":"12_CR9","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1109\/TCC.2015.2481401","volume":"4","author":"X Dai","year":"2016","unstructured":"Dai, X., Wang, J.M., Bensaou, B.: Energy-efficient virtual machines scheduling in multi-tenant data centers. IEEE Trans. Cloud Comput. 4, 210\u2013221 (2016). https:\/\/doi.org\/10.1109\/TCC.2015.2481401","journal-title":"IEEE Trans. Cloud Comput."},{"key":"12_CR10","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1007\/s11227-010-0421-3","volume":"60","author":"YC Lee","year":"2012","unstructured":"Lee, Y.C., Zomaya, A.Y.: Energy efficient utilization of resources in cloud computing systems. J. Supercomput. 60, 268\u2013280 (2012). https:\/\/doi.org\/10.1007\/s11227-010-0421-3","journal-title":"J. Supercomput."},{"key":"12_CR11","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.procs.2018.08.172","volume":"135","author":"L Ismail","year":"2018","unstructured":"Ismail, L., Materwala, H.: EATSVM: energy-aware task scheduling on cloud virtual machines. Procedia Comput. Sci. 135, 248\u2013258 (2018). https:\/\/doi.org\/10.1016\/j.procs.2018.08.172","journal-title":"Procedia Comput. Sci."},{"key":"12_CR12","first-page":"18","volume":"4","author":"W Huai","year":"2013","unstructured":"Huai, W., Qian, Z., Li, X., et al.: Energy aware task scheduling in data centers. J. Wirel. Mob. Netw. Ubiquitous Comput. Dependable Appl. 4, 18\u201338 (2013)","journal-title":"J. Wirel. Mob. Netw. Ubiquitous Comput. Dependable Appl."},{"key":"12_CR13","doi-asserted-by":"publisher","unstructured":"Ying, C.T., Yu, J.: Energy-aware genetic algorithms for task scheduling in cloud computing. In: Proc\u20147th ChinaGrid Annu Conf ChinaGrid 2012, pp. 43\u201348 (2012). https:\/\/doi.org\/10.1109\/ChinaGrid.2012.15","DOI":"10.1109\/ChinaGrid.2012.15"},{"key":"12_CR14","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.future.2013.06.009","volume":"37","author":"CM Wu","year":"2014","unstructured":"Wu, C.M., Chang, R.S., Chan, H.Y.: A green energy-efficient scheduling algorithm using the DVFS technique for cloud datacenters. Futur. Gener. Comput. Syst. 37, 141\u2013147 (2014). https:\/\/doi.org\/10.1016\/j.future.2013.06.009","journal-title":"Futur. Gener. Comput. Syst."},{"key":"12_CR15","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1016\/j.future.2018.11.010","volume":"94","author":"B Qureshi","year":"2019","unstructured":"Qureshi, B.: Profile-based power-aware workflow scheduling framework for energy-efficient data centers. Futur. Gener. Comput. Syst. 94, 453\u2013467 (2019). https:\/\/doi.org\/10.1016\/j.future.2018.11.010","journal-title":"Futur. Gener. Comput. Syst."},{"key":"12_CR16","doi-asserted-by":"publisher","unstructured":"Ilager, S., Ramamohanarao, K., Buyya, R.: ETAS: energy and thermal-aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation. Concurr. Comput., 1\u201315 (2019). https:\/\/doi.org\/10.1002\/cpe.5221","DOI":"10.1002\/cpe.5221"},{"key":"12_CR17","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1145\/1273440.1250665","volume":"35","author":"X Fan","year":"2007","unstructured":"Fan, X., Weber, W.-D., Barroso, L.A.: Power provisioning for a warehouse-sized computer. ACM SIGARCH Comput. Archit. News 35, 13 (2007). https:\/\/doi.org\/10.1145\/1273440.1250665","journal-title":"ACM SIGARCH Comput. Archit. News"},{"key":"12_CR18","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1109\/TC.2011.47","volume":"61","author":"WL Bircher","year":"2011","unstructured":"Bircher, W.L., John, L.K.: Complete system power estimation using processor performance events. IEEE Trans. Comput. 61, 563\u2013577 (2011)","journal-title":"IEEE Trans. Comput."},{"key":"12_CR19","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.future.2012.05.019","volume":"32","author":"N Kim","year":"2014","unstructured":"Kim, N., Cho, J., Seo, E.: Energy-credit scheduler: an energy-aware virtual machine scheduler for cloud systems. Futur. Gener. Comput. Syst. 32, 128\u2013137 (2014). https:\/\/doi.org\/10.1016\/j.future.2012.05.019","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"1","key":"12_CR20","first-page":"23","volume":"41","author":"Rodrigo N. Calheiros","year":"2010","unstructured":"Calheiros, R.N., Ranjan, R., Beloglazov, A., et al.: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw\u2014Pract Exp 41 (2011)","journal-title":"Software: Practice and Experience"},{"key":"12_CR21","unstructured":"Carlucci G CPULoadGenerator. https:\/\/github.com\/GaetanoCarlucci\/CPULoadGenerator. Accessed 1 Sep 2019"},{"key":"12_CR22","unstructured":"Stress project page. https:\/\/people.seas.harvard.edu\/~apw\/stress\/. Accessed 1 Sep 2019"},{"key":"12_CR23","unstructured":"Vandenbergh, H.: Vdbench Users Guide, 1\u2013114 (2012)"},{"key":"12_CR24","unstructured":"Mortimer, M.: iperf3 Documentation (2018)"},{"key":"12_CR25","unstructured":"Linux perf Examples. http:\/\/www.brendangregg.com\/perf.html. Accessed 2 Sep 2019"},{"key":"12_CR26","unstructured":"Collectd: https:\/\/collectd.org\/wiki\/index.php\/Main_Page. Accessed 1 Sep 2019"},{"key":"12_CR27","unstructured":"Tektronix: User Manual TDS1000- and TDS2000-Series Digital Storage Oscilloscope. 206 (2009)"},{"key":"12_CR28","unstructured":"Wedlock, B.D., Roberge, J.K., James, K.: Electronic Components and Measurements. Prentice-Hall (1969)"},{"key":"12_CR29","unstructured":"R: What is R? https:\/\/www.r-project.org\/about.html"},{"key":"12_CR30","unstructured":"Kopytov A Sysbench. https:\/\/github.com\/akopytov\/sysbench#sysbench. Accessed 14 Aug 2018"},{"key":"12_CR31","unstructured":"MPlayer\u2014The Movie Player. http:\/\/www.mplayerhq.hu\/design7\/dload.html. Accessed 14 Aug 2018"},{"key":"12_CR32","unstructured":"The PARSEC Benchmark Suite. http:\/\/parsec.cs.princeton.edu\/parsec3-doc.htm. Accessed 14 Aug 2018"},{"key":"12_CR33","unstructured":"Weka 3\u2014Data Mining with Open Source Machine Learning Software in Java. https:\/\/www.cs.waikato.ac.nz\/ml\/weka\/downloading.html. Accessed 25 Aug 2018"},{"key":"12_CR34","unstructured":"H264 Video Format. http:\/\/www.h264info.com\/h264.htmlis. Accessed 14 Aug 2018"},{"key":"12_CR35","unstructured":"UCI Machine Learning Repository. https:\/\/archive.ics.uci.edu\/ml\/index.php. Accessed 25 Aug 2018"},{"key":"12_CR36","unstructured":"The energy rate report. https:\/\/www.chooseenergy.com\/electricity-rates-by-state\/. Accessed 25 Feb 2020"},{"key":"12_CR37","unstructured":"Carbon dioxide emission. https:\/\/carbonfund.org\/calculation-methods\/. Accessed 25 Feb 2020"},{"key":"12_CR38","doi-asserted-by":"publisher","first-page":"5166","DOI":"10.1109\/JIOT.2018.2865612","volume":"5","author":"L Ismail","year":"2018","unstructured":"Ismail, L., Materwala, H.: Energy-Aware VM placement and task scheduling in Cloud-IoT computing: classification and performance evaluation. IEEE Internet. Things J. 5, 5166\u20135176 (2018). https:\/\/doi.org\/10.1109\/JIOT.2018.2865612","journal-title":"IEEE Internet. Things J."}],"container-title":["Smart Innovation, Systems and Technologies","Agents and Multi-Agent Systems: Technologies and Applications 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-5764-4_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T19:07:13Z","timestamp":1710356833000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-15-5764-4_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811557637","9789811557644"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-5764-4_12","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"type":"print","value":"2190-3018"},{"type":"electronic","value":"2190-3026"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"21 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}