Dynamic resource demand prediction and allocation in multi-tenant service clouds-Reference-Cited by-同舟云学术

Dynamic resource demand prediction and allocation in multi-tenant service clouds

Published:2016-01-28 Issue:17 Volume:28 Page:4429-4442
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Verma Manish¹,Gangadharan G. R.²,Narendra Nanjangud C.³,Vadlamani Ravi²,Inamdar Vidyadhar¹,Ramachandran Lakshmi⁴,Calheiros Rodrigo N.⁵,Buyya Rajkumar⁵

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.

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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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