The Community for Technology Leaders
RSS Icon
Honolulu, HI, USA USA
June 24, 2012 to June 29, 2012
ISBN: 978-1-4673-2892-0
pp: 558-565
great opportunities for consumers to find the best service and best pricing, which however raises new challenges on how to select the best service out of the huge pool. It is time-consuming for consumers to collect the necessary information and analyze all service providers to make the decision. This is also a highly demanding task from a computational  perspective, because the same computations may be conducted repeatedly by multiple consumers who have similar  requirements. Therefore, in this paper, we propose a novel brokerage-based architecture in the Cloud, where the Cloud brokers is responsible for the service selection. In particular, we design a unique indexing technique for managing the information of a large number of Cloud service providers. We then develop efficient service selection algorithms that rank potential service providers and aggregate them if necessary. We prove the efficiency and effectiveness of our approach through an experimental study with the real and synthetic Cloud data.
Encoding, Security, Indexing, Web services, Quality of service, Arrays, indexing, Cloud, brokerage
Smitha Sundareswaran, Anna Squicciarini, Dan Lin, "A Brokerage-Based Approach for Cloud Service Selection", CLOUD, 2012, 2013 IEEE Sixth International Conference on Cloud Computing, 2013 IEEE Sixth International Conference on Cloud Computing 2012, pp. 558-565, doi:10.1109/CLOUD.2012.119
5 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool