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