Dynamic resource demand prediction and allocation in multi-tenant service clouds
Author:
Affiliation:
1. University of Hyderabad; India
2. IDRBT, Hyderabad; India
3. Ericsson Research; Bangalore India
4. North Carolina state University; Raleigh USA
5. The University of Melbourne; Melbourne Australia
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.3767/fullpdf
Reference33 articles.
1. A view of cloud computing;Armbrust;Communications of the ACM,2010
2. Mietzner R Leymann F Papazoglou MP Defining composite configurable SaaS application packages using SCA, variability descriptors and multi-tenancy patterns In Proceeding of the 3rd International Conference on Internet and Web Applications and Services 2008
3. Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing;Beloglazov;FGCS,2012
4. Jiang Y Perng CS Li T Chang R ASAP: a self-adaptive prediction system for instant cloud resource demand provisioning In Proceeding of the 11th International Conference on Data Mining ICDM 2011
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