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A cloud brokerage architecture for e...

Dondapati, Venkata Nagarjuna.

A cloud brokerage architecture for efficient cloud service selection.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A cloud brokerage architecture for efficient cloud service selection.
Author:	Dondapati, Venkata Nagarjuna.
Description:	55 p.
Notes:	Source: Masters Abstracts International, Volume: 53-03.
Notes:	Adviser: Lin Dan.
Contained By:	Masters Abstracts International53-03(E).
Subject:	Computer science.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1561205
ISBN:	9781321060881

A cloud brokerage architecture for efficient cloud service selection.
Dondapati, Venkata Nagarjuna.

A cloud brokerage architecture for efficient cloud service selection. - 55 p.

Source: Masters Abstracts International, Volume: 53-03.

Thesis (M.S.)--Missouri University of Science and Technology, 2014.

This item must not be sold to any third party vendors.

The expanding cloud computing services offer 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 a huge pool. It is obvious time-consuming for consumers to collect the necessary information and analyze all service providers to make the decision. It 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. 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 an efficient service selection algorithm that recommend potential cloud service providers to the cloud consumers. We carry out extensive experimental studies on real and synthetic cloud data, and demonstrate a significant performance improvement over the existing approaches.

ISBN: 9781321060881Subjects--Topical Terms:

199325
Computer science.

A cloud brokerage architecture for efficient cloud service selection.
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500 $a Source: Masters Abstracts International, Volume: 53-03.
500 $a Adviser: Lin Dan.
502 $a Thesis (M.S.)--Missouri University of Science and Technology, 2014.
506 $a This item must not be sold to any third party vendors.
520 $a The expanding cloud computing services offer 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 a huge pool. It is obvious time-consuming for consumers to collect the necessary information and analyze all service providers to make the decision. It 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. 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 an efficient service selection algorithm that recommend potential cloud service providers to the cloud consumers. We carry out extensive experimental studies on real and synthetic cloud data, and demonstrate a significant performance improvement over the existing approaches.
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