{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:40:56Z","timestamp":1743039656242,"version":"3.40.3"},"publisher-location":"New York, NY","reference-count":17,"publisher":"Springer New York","isbn-type":[{"type":"print","value":"9781493919048"},{"type":"electronic","value":"9781493919055"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-1-4939-1905-5_11","type":"book-chapter","created":{"date-parts":[[2014,12,2]],"date-time":"2014-12-02T12:35:40Z","timestamp":1417523740000},"page":"257-276","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Executing Storm Surge Ensembles on PAAS Cloud"],"prefix":"10.1007","author":[{"given":"Abhirup","family":"Chakraborty","sequence":"first","affiliation":[]},{"given":"Milinda","family":"Pathirage","sequence":"additional","affiliation":[]},{"given":"Isuru","family":"Suriarachchi","sequence":"additional","affiliation":[]},{"given":"Kavitha","family":"Chandrasekar","sequence":"additional","affiliation":[]},{"given":"Craig","family":"Mattocks","sequence":"additional","affiliation":[]},{"given":"Beth","family":"Plale","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,11,15]]},"reference":[{"key":"11_CR1","unstructured":"National Hurricane Center. http:\/\/www.nhc.noaa.gov\/surge\/faq.php#4x"},{"key":"11_CR2","unstructured":"NOAA SLOSH display program. http:\/\/slosh.nws.noaa.gov\/sloshPub\/#sloshDsp"},{"key":"11_CR3","unstructured":"Chakraborty, A., Pathirage, M., Suriarachchi, I., Chandrasekar, K., Mattocks, C., Plale, B.: Storm surge simulation and load balancing in azure cloud. In: Proc. 21st High Performance Computing Symposium (HPC\u201913), HPC\u201913, pp.\u00a01\u20139. SCS and ACM (2013)"},{"key":"11_CR4","doi-asserted-by":"crossref","unstructured":"Chandrasekar, K., Pathirage, M., Wijeratne, S., Mattocks, C., Plale, B.: Middleware alternatives for storm surge predictions in windows azure. In: Proc. 3rd workshop on Scientific Cloud Computing Date, ScienceCloud \u201812, pp.\u00a03\u201312 (2012)","DOI":"10.1145\/2287036.2287040"},{"issue":"1","key":"11_CR5","first-page":"3","volume":"33","author":"B. Glahn","year":"2009","unstructured":"Glahn, B., Taylor, A., Kurkowski, N., Shaffer, W.: The role of the slosh model in national weather service storm surge forecasting. National Weather Digest 33(1), 3\u201314 (2009)","journal-title":"National Weather Digest"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Gunarathne, T., Wu, T.L., Qiu, J., Fox, G.: Cloud computing paradigms for pleasingly parallel biomedical applications. In: Proc. 19th ACM Int. Symposium on High Performance Distributed Computing, HPDC \u201810, pp.\u00a0460\u2013469. ACM, New York, NY, USA (2010)","DOI":"10.1145\/1851476.1851544"},{"key":"11_CR7","unstructured":"Gunarathnea, T., Qiu, J., Fox, G.: Iterative mapreduce for azure cloud. In: Proc. Cloud Computing and Its Applications, CCA, CCA \u201811 (2011)"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Lee, C.A.: A perspective on scientific cloud computing. In: Proc. 19th ACM Int. Symposium on High Performance Distributed Computing, HPDC \u201810, pp.\u00a0451\u2013459 (2010)","DOI":"10.1145\/1851476.1851542"},{"key":"11_CR9","doi-asserted-by":"crossref","unstructured":"Li, J., Humphrey, M., Agarwal, D.A., Jackson, K.R., van Ingen, C., Ryu, Y.: eScience in the cloud: A modis satellite data reprojection and reduction pipeline in the windows azure platform. In: IPDPS, pp.\u00a01\u201310 (2010)","DOI":"10.1109\/IPDPS.2010.5470418"},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Lu, W., Jackson, J., Barga, R.: AzureBlast: a case study of developing science applications on the cloud. In: Proc. 19th ACM Int. Symposium on High Performance Distributed Computing, HPDC \u201810, pp.\u00a0413\u2013420 (2010)","DOI":"10.1145\/1851476.1851537"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Lu, W., Jackson, J., Ekanayake, J., Barga, R.S., Araujo, N.: Performing large science experiments on azure: Pitfalls and solutions. In: CloudCom, pp.\u00a0209\u2013217 (2010)","DOI":"10.1109\/CloudCom.2010.104"},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Mehrotra, P., Djomehri, J., Heistand, S., Hood, R., Jin, H., Lazanoff, A., Saini, S., Biswas, R.: Performance evaluation of amazon EC2 for NASA HPC applications. In: Proceedings of the 3rd workshop on Scientific Cloud Computing Date, pp.\u00a041\u201350. New York, NY, USA (2012)","DOI":"10.1145\/2287036.2287045"},{"issue":"12","key":"11_CR13","doi-asserted-by":"publisher","first-page":"2189","DOI":"10.1109\/TPDS.2012.80","volume":"23","author":"C. Moretti","year":"2012","unstructured":"Moretti, C., Thrasher, A., Yu, L., Olson, M., Emrich, S.J., Thain, D.: A framework for scalable genome assembly on clusters, clouds, and grids. IEEE Trans. Parallel Distributed Systems 23(12), 2189\u20132197 (2012)","journal-title":"IEEE Trans. Parallel Distributed Systems"},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"de\u00a0Oliveira, D., Ogasawara, E., Bai\u00e3o, F., Mattoso, M.: Scicumulus: A lightweight cloud middleware to explore many task computing paradigm in scientific workflows. In: Proc. IEEE 3rd Int. Conf. on Cloud Computing, CLOUD \u201810, pp.\u00a0378\u2013385. IEEE Computer Society, Washington, DC, USA (2010)","DOI":"10.1109\/CLOUD.2010.64"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Pandey, S., Karunamoorthy, D., Buyya, R.: Workflow engine for clouds. In: Cloud Computing, Principles and Paradigms, Wiley Series on Parallel and Distributed Computing, pp.\u00a0321\u2013344 (2011)","DOI":"10.1002\/9780470940105.ch12"},{"key":"11_CR16","doi-asserted-by":"publisher","first-page":"1799","DOI":"10.1175\/BAMS-88-11-1799","volume":"88","author":"R. Simpson","year":"2007","unstructured":"Simpson, R., Saffir, H.: Tropical cyclone destructive potential by integrated kinetic energy. Bull. Amer. Meteor. Soc. 88, 1799\u20131800 (2007)","journal-title":"Bull. Amer. Meteor. Soc."},{"issue":"18","key":"11_CR17","doi-asserted-by":"publisher","first-page":"1532","DOI":"10.1002\/cpe.2823","volume":"24","author":"E.C. Withana","year":"2012","unstructured":"Withana, E.C., Plale, B.: Sigiri: uniform resource abstraction for grids and clouds. Concurrency and Computation: Practice and Experience 24(18), 1532\u20130626 (2012)","journal-title":"Concurrency and Computation: Practice and Experience"}],"container-title":["Cloud Computing for Data-Intensive Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4939-1905-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T18:17:46Z","timestamp":1676917066000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-1-4939-1905-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9781493919048","9781493919055"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-1-4939-1905-5_11","relation":{},"subject":[],"published":{"date-parts":[[2014]]},"assertion":[{"value":"15 November 2014","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}