DocumentCode
1887647
Title
Supporting placement and data consistency strategies using hybrid clouds
Author
Bunch, Chris ; Chohan, Navraj ; Krintz, Chandra
Author_Institution
Dept. of Comput. Sci., Univ. of California, Santa Barbara, CA, USA
fYear
2012
fDate
3-10 March 2012
Firstpage
1
Lastpage
8
Abstract
In this paper, we investigate cloud platform support that provides distributed applications with automatic service placement across different cloud computing systems (hybrid clouds), and that enables application developers to investigate the impact of using different cloud-based data consistency models with their applications. By pursuing its implementation at the cloud runtime layer (platform), we are able to provide hybrid cloud support without requiring application modification or significant developer expertise. We investigate the efficacy of such portabililty for different application domains (web services and computationally-intensive HPC applications, via Monte Carlo simulations). We examine different hybrid cloud placement strategies based on cost, performance, and common use cases. We evaluate the performance of such placement strategies as well as different data consistency policies.
Keywords
Monte Carlo methods; Web services; cloud computing; data integrity; distributed processing; Monte Carlo simulation; Web services; application domain; automatic service placement; cloud computing system; cloud platform support; cloud runtime layer; cloud-based data consistency model; computationally-intensive HPC application; data consistency policies; data consistency strategy; distributed application; hybrid cloud placement strategy; hybrid cloud support; portabililty; Computational modeling; Databases; Engines; Google; Monte Carlo methods; Servers; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace Conference, 2012 IEEE
Conference_Location
Big Sky, MT
ISSN
1095-323X
Print_ISBN
978-1-4577-0556-4
Type
conf
DOI
10.1109/AERO.2012.6187353
Filename
6187353
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