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 :
بازگشت