DocumentCode
251745
Title
In-the-Know: Recommendation Framework for City-Supported Hybrid Cloud Services
Author
Singhal, Manav ; Ramanathan, Jay ; Calyam, Prasad ; Skubic, Marjorie
Author_Institution
Univ. of Missouri-Columbia, Columbia, MO, USA
fYear
2014
fDate
8-11 Dec. 2014
Firstpage
137
Lastpage
145
Abstract
Hybrid cloud architectures are particularly attractive to leverage city-level investments for building customized clouds, and for extending them to leverage public clouds. A successful design of the hybrid cloud architecture should facilitate the provisioning of scalable and secure services suited to a variety of communities such as residential homes and high-tech business incubators. In this paper, we present a novel "In-the-know" recommendation framework for provisioning of cloud resources in the form of \´on-demand contracts\´ to address the challenges in delivering the hybrid service variations for different community and individual needs. Our recommendation framework uses knowledge of the city\´s socio-economic goals/values as well as user preferences in terms of cost, performance and mobility. Using such knowledge, it recommends dynamic decisions by choosing from various provisioning alternatives in order to: (a) ensure optimal user Quality of Experience (QoE) in service delivery, and (b) effective utilization of hybrid cloud resources. We validate our recommendation framework using service composition experiments to satisfy an exemplar collaboration use case in an actual city-supported hybrid cloud test bed involving citizen consumers.
Keywords
cloud computing; recommender systems; QoE; citizen consumers; city-supported hybrid cloud services; city-supported hybrid cloud test bed; customized clouds; dynamic decisions; high-tech business incubators; hybrid cloud architectures; hybrid cloud resources; in-the-know recommendation framework; leverage city-level investments; leverage public clouds; on-demand contracts; optimal user; quality of experience; residential homes; service delivery; socio-economic goals; user preferences; Cities and towns; Cloud computing; Collaboration; Computer architecture; Google; Investment; Vectors; Context-sensitive service recommendation; Hybrid cloud architectures; Service composition usability; Smart cities with cloud-based utilities;
fLanguage
English
Publisher
ieee
Conference_Titel
Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on
Conference_Location
London
Type
conf
DOI
10.1109/UCC.2014.22
Filename
7027489
Link To Document