DocumentCode
2444967
Title
Enabling Cloud Service Reservation with Derivatives and Yield Management
Author
Meinl, Thomas ; Anandasivam, Arun ; Tatsubori, Michiaki
Author_Institution
Inst. of Inf. Syst. & Manage., Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
fYear
2010
fDate
10-12 Nov. 2010
Firstpage
150
Lastpage
155
Abstract
Since the cloud computing advent a few years ago this paradigm has proved itself to be extremely successive in the industrial sector. IT and business managers agree that this form of highly-dynamic provision of IT services will play a major role in the IT world during the next decades. Several business models have already been developed and implemented, including also dynamic pricing schemes. Given that, we analyze in this work two distinct reservation system approaches from related areas and how they can be applied to the cloud computing scenario. We state the different requirements and set up a realistic implementable model in order to enable cloud vendors to improve their revenues.
Keywords
business data processing; cloud computing; information technology; pricing; IT service; business model; cloud computing; cloud service reservation; dynamic pricing; yield management; Analytical models; Cloud computing; Computational modeling; Contracts; Pricing; Stochastic processes; Poisson arrival processes; cloud computing; derivatives; yield management;
fLanguage
English
Publisher
ieee
Conference_Titel
Commerce and Enterprise Computing (CEC), 2010 IEEE 12th Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8433-1
Electronic_ISBN
978-0-7695-4228-7
Type
conf
DOI
10.1109/CEC.2010.10
Filename
5708405
Link To Document