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dc.contributor.authorSingh, Pen_US
dc.contributor.authorKaur, Aen_US
dc.contributor.authorGupta, Pen_US
dc.contributor.authorGill, SSen_US
dc.contributor.authorJyoti, Ken_US
dc.date.accessioned2020-07-30T09:10:05Z
dc.date.available2020-06-26en_US
dc.date.issued2020-07-20en_US
dc.identifier.issn1386-7857en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/65922
dc.relation.ispartofCLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONSen_US
dc.rightsThis is a pre-copyedited, author-produced version of an article accepted for publication in Cluster Computing following peer review. The version of record is available https://link.springer.com/article/10.1007/s10586-020-03148-5
dc.subjectAuto-scalingen_US
dc.subjectCloud computingen_US
dc.subjectWeb applicationsen_US
dc.subjectResource provisioningen_US
dc.subjectTime series predictionen_US
dc.subjectCloud Securityen_US
dc.titleRHAS: robust hybrid auto-scaling for web applications in cloud computingen_US
dc.typeArticle
dc.rights.holder© 2020 Springer Nature Switzerland AG
dc.identifier.doi10.1007/s10586-020-03148-5en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000550604900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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