A Heuristic Approach for Capacity Control in Clouds

Author

Anandasivam, Arun ; Buschek, Stefan ; Buyya, Rajkumar

Author_Institution

Inst. for Inf. Syst. & Manage., Univ. of Karlsruhe, Karlsruhe, Germany

fYear

2009

fDate

20-23 July 2009

Firstpage

90

Lastpage

97

Abstract

Cloud resource providers in a market face dynamic and unpredictable consumer behavior. The way, how prices are set in a dynamic environment, can influence the demand behavior of price sensitive customers. A cloud resource provider has to decide on how to allocate his scarce resources in order to maximize his profit. The application of bid price control for evaluating incoming service requests is a common approach for capacity control in network revenue management. In this paper we introduce a customized version of the concept of self-adjusting bid prices and apply it to the area of cloud computing. Furthermore, we perform a simulation in order to test the efficiency of the proposed model.

Keywords

Internet; linear programming; pricing; profitability; resource allocation; bid price control; capacity control; cloud computing; cloud resource providers; demand behavior; dynamic environment; heuristic approach; incoming service requests evaluation; network revenue management; price sensitive customers; profit maximisation; randomized linear programming; scarce resource allocation; selfadjusting bid prices; unpredictable consumer behavior; Business; Cloud computing; Computational modeling; Conference management; Consumer behavior; Control systems; Distributed computing; Grid computing; Management information systems; Resource management; bid price control; cloud services; genetic algorithm; revenue management;

fLanguage

English

Publisher

ieee

Conference_Titel

Commerce and Enterprise Computing, 2009. CEC '09. IEEE Conference on

Conference_Location

Vienna

Print_ISBN

978-0-7695-3755-9

Type

conf

DOI

10.1109/CEC.2009.20

Filename

5210812