DocumentCode :
260468
Title :
Hybrid Cloud Placement Algorithm
Author :
Unuvar, Merve ; Steinder, Malgorzata ; Tantawi, Asser N.
Author_Institution :
IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
fYear :
2014
fDate :
9-11 Sept. 2014
Firstpage :
197
Lastpage :
206
Abstract :
A fully functional hybrid cloud solution requires a placement service to automatically decide whether an application should be deployed on premise, in a public cloud, or across private and public clouds. Such a service must consider application structure and communication patterns, application affinity requirements, which usually result from data protection rules, and deployment costs. In this paper, we propose a hybrid cloud placement approach which addresses these challenges. Our approach considers application requirements, cost, and private cloud capacity. Further, it is tunable to allow for changing application patterns and business objectives and offers a useful trade-off between application QoS and its deployment cost.
Keywords :
cloud computing; data protection; quality of service; application affinity requirements; application structure; communication patterns; data protection rules; deployment costs; fully functional hybrid cloud solution; hybrid cloud placement algorithm; placement service; private cloud capacity; public cloud; Bandwidth; Cloud computing; Equations; Mathematical model; Optimization; Quality of service; Silicon; QoS; application deployment; hybrid cloud; optimization; placement policies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2014 IEEE 22nd International Symposium on
Conference_Location :
Paris
ISSN :
1526-7539
Type :
conf
DOI :
10.1109/MASCOTS.2014.33
Filename :
7033655
Link To Document :
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