{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T23:51:33Z","timestamp":1648511493569},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319759272","type":"print"},{"value":"9783319759289","type":"electronic"}],"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:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-75928-9_33","type":"book-chapter","created":{"date-parts":[[2018,2,23]],"date-time":"2018-02-23T02:14:14Z","timestamp":1519352054000},"page":"371-382","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["VM Deployment Methods for DaaS Model in Clouds"],"prefix":"10.1007","author":[{"given":"Klodiana","family":"Goga","sequence":"first","affiliation":[]},{"given":"Fatos","family":"Xhafa","sequence":"additional","affiliation":[]},{"given":"Olivier","family":"Terzo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,2,24]]},"reference":[{"key":"33_CR1","unstructured":"Amazon Web Services - Big Data on AWS. \nhttps:\/\/aws.amazon.com\/big-data\/"},{"key":"33_CR2","unstructured":"Microsoft Azure - Big data and Analytics. \nhttps:\/\/azure.microsoft.com\/en-us\/solutions\/big-data\/"},{"key":"33_CR3","unstructured":"Azure Search. \nhttps:\/\/docs.microsoft.com\/en-us\/azure\/search\/search-what-is-azure-search"},{"key":"33_CR4","unstructured":"Azure Cosmos DB. \nhttps:\/\/azure.microsoft.com\/en-us\/services\/cosmos-db\/?v=17.45b"},{"key":"33_CR5","unstructured":"Azure Redis Cache. \nhttps:\/\/azure.microsoft.com\/en-us\/services\/cache\/"},{"key":"33_CR6","unstructured":"Azure StorSimple. \nhttps:\/\/azure.microsoft.com\/en-us\/services\/storsimple\/"},{"key":"33_CR7","unstructured":"Azure SQL Database. \nhttps:\/\/azure.microsoft.com\/en-us\/services\/sql-database\/"},{"key":"33_CR8","unstructured":"Azure SQL Data Warehouse. \nhttps:\/\/azure.microsoft.com\/en-us\/services\/sql-data-warehouse\/"},{"key":"33_CR9","unstructured":"Azure Data Lake. \nhttps:\/\/azure.microsoft.com\/en-us\/solutions\/data-lake\/"},{"key":"33_CR10","unstructured":"Azure Stream Analytics. \nhttps:\/\/azure.microsoft.com\/en-us\/services\/stream-analytics\/"},{"key":"33_CR11","unstructured":"Goolge Cloud Plartform - Big Data Solutions. \nhttps:\/\/cloud.google.com\/solutions\/big-data\/?hl=en"},{"key":"33_CR12","unstructured":"Googel Cloud Dataproc. \nhttps:\/\/cloud.google.com\/dataproc\/?hl=en"},{"key":"33_CR13","unstructured":"Google Cloud Datalab. \nhttps:\/\/cloud.google.com\/datalab\/?hl=en"},{"key":"33_CR14","unstructured":"Google Bigquery. \nhttps:\/\/cloud.google.com\/bigquery\/?hl=en"},{"key":"33_CR15","unstructured":"Apache Hadoop. \nhttp:\/\/hadoop.apache.org\/"},{"key":"33_CR16","doi-asserted-by":"crossref","unstructured":"Terzo, O., Ruiu, P., Bucci, E., Xhafa, F.: Data as a service (DaaS) for sharing and processing of large data collections in the cloud. In: Seventh International Conference on Complex, Intelligent, and Software Intensive Systems, July 2013, pp. 475\u2013480 (2013). \nhttps:\/\/doi.org\/10.1109\/CISIS.2013.87\n\n, \nhttp:\/\/ieeexplore.ieee.org\/document\/6603936\/","DOI":"10.1109\/CISIS.2013.87"},{"key":"33_CR17","doi-asserted-by":"crossref","unstructured":"Toosi, A.N., Sinnott, R.O., Buyya, R.: Resource provisioning for data-intensive applications with deadline constraints on hybrid clouds using Aneka. Future Gener. Comput. Syst. 79(Part 2), 765\u2013775 (2018). \nhttps:\/\/doi.org\/10.1016\/j.future.2017.05.042\n\n, \nhttp:\/\/www.sciencedirect.com\/science\/article\/pii\/S0167739X17301863\n\n, ISSN 0167\u2013739X","DOI":"10.1016\/j.future.2017.05.042"},{"key":"33_CR18","doi-asserted-by":"crossref","unstructured":"Philip Chen, C.L., Zhang, Ch.-Y.: Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf. Sci. 275(Supplement C), 314\u2013347 (2014). \nhttps:\/\/doi.org\/10.1016\/j.ins.2014.01.015\n\n, \nhttp:\/\/www.sciencedirect.com\/science\/article\/pii\/S0020025514000346\n\n, ISSN 0020\u20130255","DOI":"10.1016\/j.ins.2014.01.015"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"Dai, W., Qiu, L., Wu, A., Qiu, M.: Cloud infrastructure resource allocation for big data applications. IEEE Trans. Big Data PP(99), 1 (2016). \nhttps:\/\/doi.org\/10.1109\/TBDATA.2016.2597149\n\n, \nhttp:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&arnumber=7530891&isnumber=7153538","DOI":"10.1109\/TBDATA.2016.2597149"},{"key":"33_CR20","doi-asserted-by":"crossref","unstructured":"Fei, Zh., Xiaoming, F., Yahyapour, R.: CBase: a new paradigm for fast virtual machine migration across data centers. In: Proceedings of the 17th IEEE\/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2017, Madrid, Spain, pp. 284\u2013293 (2017). \nhttps:\/\/doi.org\/10.1109\/CCGRID.2017.26\n\n, ISBN 978-1-5090-6610-0","DOI":"10.1109\/CCGRID.2017.26"},{"key":"33_CR21","doi-asserted-by":"crossref","unstructured":"Bhimani, J., Yang, Z., Leeser, M., Mi, N.: Accelerating big data applications using lightweight virtualization framework on enterprise cloud. In: 2017 IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, pp. 1\u20137 (2017). \nhttps:\/\/doi.org\/10.1109\/HPEC.2017.8091086\n\n, \nhttp:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&arnumber=8091086&isnumber=8091018","DOI":"10.1109\/HPEC.2017.8091086"},{"key":"33_CR22","unstructured":"Demchenko, Y., Turkmen, F., de Laat, C., Blanchet, C., Loomis, C.: Cloud based big data infrastructure: architectural components and automated provisioning. In: 2016 International Conference on High Performance Computing & Simulation (HPCS), Innsbruck, pp. 628\u2013636 (2016). \nhttps:\/\/doi.org\/10.1109\/HPCSim. 2016.7568394\n\n, \nhttp:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&arnumber=7568394&isnumber=7568299"},{"key":"33_CR23","doi-asserted-by":"crossref","unstructured":"Prodan, R., et al.: Use cases towards a decentralized repository for transparent and efficient virtual machine operations. In: 25th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), St. Petersburg, pp. 478\u2013485 (2017). \nhttps:\/\/doi.org\/10.1109\/PDP.2017.47\n\n, \nhttp:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&arnumber=7912691&isnumber=7912607","DOI":"10.1109\/PDP.2017.47"},{"key":"33_CR24","doi-asserted-by":"crossref","unstructured":"Demchenko, Y., et al.: CYCLONE: a platform for data intensive scientific applications in heterogeneous multi-cloud\/multi-provider environment. In: 2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW), Berlin, pp. 154\u2013159 (2016). \nhttps:\/\/doi.org\/10.1109\/IC2EW.2016.46\n\n, \nhttp:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&arnumber=7527833&isnumber=7527789","DOI":"10.1109\/IC2EW.2016.46"},{"key":"33_CR25","doi-asserted-by":"crossref","unstructured":"Singh, S., Chana, I.: A survey on resource scheduling in cloud computing: issues and challenges. J. Grid Comput. 14(2), 217\u2013264 (2016). \nhttps:\/\/doi.org\/10.1007\/s10723-015-9359-2\n\n, ISSN 1572\u20139184","DOI":"10.1007\/s10723-015-9359-2"},{"key":"33_CR26","unstructured":"Zhao, Y., Calheiros, R.N., Bailey, J., Sinnott, R.: SLA-based profit optimization for resource management of big data analytics-as-a-service platforms in cloud computing environments. In: 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, pp. 432\u2013441 (2016). \nhttps:\/\/doi.org\/10.1109\/BigData. 2016.7840634\n\n, \nhttp:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&arnumber=7840634&isnumber=7840573"},{"key":"33_CR27","doi-asserted-by":"crossref","unstructured":"Abaker, I., Hashem, T., Yaqoob, I., Badrul Anuar, N., Mokhtar, S., Gani, A., Ullah Khan, S.: The rise of big data on cloud computing: review and open research issues. Inf. Syst. 47, 98\u2013115 (2015). \nhttps:\/\/doi.org\/10.1016\/j.is.2014.07.006\n\n, \nhttp:\/\/www.sciencedirect.com\/science\/article\/pii\/S0306437914001288\n\n, ISSN 0306\u20134379","DOI":"10.1016\/j.is.2014.07.006"},{"key":"33_CR28","doi-asserted-by":"crossref","unstructured":"Assuno, M.D., Calheiros, R.N., Bianchi, S., Netto, M.A.S., Buyya, R.: Big data computing and clouds: trends and future directions. J. Parallel Distrib. Comput. 79\u201380, 3\u201315 (2015). Special Issue on Scalable Systems for Big Data Management and Analytics. \nhttps:\/\/doi.org\/10.1016\/j.jpdc.2014.08.003\n\n, \nhttp:\/\/www.sciencedirect.com\/science\/article\/pii\/S0743731514001452\n\n, ISSN 0743\u20137315","DOI":"10.1016\/j.jpdc.2014.08.003"},{"key":"33_CR29","doi-asserted-by":"crossref","unstructured":"Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Commun. ACM 51(1), 107\u2013113 (2008). \nhttps:\/\/doi.org\/10.1145\/1327452.1327492\n\n, ISSN 0001\u20130782","DOI":"10.1145\/1327452.1327492"},{"key":"33_CR30","doi-asserted-by":"crossref","unstructured":"Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The Hadoop distributed file system. In: 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), May 2010, pp. 1\u201310 (2010). \nhttps:\/\/doi.org\/10.1109\/MSST.2010.5496972\n\n, ISSN 2160-195X","DOI":"10.1109\/MSST.2010.5496972"},{"key":"33_CR31","unstructured":"Shoro, A.G., Soomro, T.R.: Big data analysis: apache spark perspective. Global J. Comput. Sci. Technol. [S.l.] (2015). \nhttps:\/\/www.computerresearch.org\/index.php\/computer\/article\/view\/1137\n\n, ISSN 0975\u20134172"},{"key":"33_CR32","unstructured":"Merkel, D.: Docker: lightweight Linux containers for consistent development and deployment. Linux J. 2014(239), 2 (2014)"},{"key":"33_CR33","doi-asserted-by":"crossref","unstructured":"Dua, R., Raja, A.R., Kakadia, D.: Virtualization vs containerization to support PaaS. In: 2014 IEEE International Conference on Cloud Engineering, Boston, MA, pp. 610\u2013614 (2014). \nhttps:\/\/doi.org\/10.1109\/IC2E.2014.41\n\n, \nhttp:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&arnumber=6903537&isnumber=6903436","DOI":"10.1109\/IC2E.2014.41"},{"key":"33_CR34","unstructured":"Docker Copy on Write Strategy. \nhttps:\/\/docs.docker.com\/engine\/userguide\/storagedriver\/imagesandcontainers\/"},{"key":"33_CR35","doi-asserted-by":"crossref","unstructured":"Md Hasanul, F., Murshed, M., Calheiros, R.N., Buyya, R.: Network-aware virtual machine placement and migration in cloud data centers. In: Emerging Research in Cloud Distributed Computing Systems, pp. 42\u201391. IGI Global (2015). Web. 9 Jan 2018. \nhttps:\/\/doi.org\/10.4018\/978-1-4666-8213-9.ch002","DOI":"10.4018\/978-1-4666-8213-9.ch002"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advances in Internet, Data & Web Technologies"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-75928-9_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,2,23]],"date-time":"2018-02-23T02:28:12Z","timestamp":1519352892000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-75928-9_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319759272","9783319759289"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-75928-9_33","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"value":"2367-4512","type":"print"},{"value":"2367-4520","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}