DocumentCode :
1919505
Title :
Smart metering of cloud services
Author :
Narayan, Akshay ; Rao, Shrisha ; Ranjan, Gaurav ; Dheenadayalan, Kumar
Author_Institution :
Int. Inst. of Inf. Technol. Bangalore, Bangalore, India
fYear :
2012
fDate :
19-22 March 2012
Firstpage :
1
Lastpage :
7
Abstract :
Smart metering, prevalent in the power grids, is a billing model in which consumers are charged variable rates for a service consumed based on the load conditions of the system providing the service. In this paper we present a similar billing model for cloud services. We develop a model where the tariff is varied based on the load prevailing on the cloud infrastructure. We obtain a mapping between the load condition for a particular time period and the pricing. The pricing for every time period is published and it is the consumer´s discretion to continue using the service or to suspend usage. Based on historical data, the load on the cloud infrastructure is predicted using the auto-regressive integrated moving average (ARIMA) statistical model. Monitoring the cloud infrastructure is an essential component of any form of cloud metering and we rely on tools available off-the-shelf for the purpose. The pricing information obtained is used for billing the consumers. The bill amount is a function of pricing for a time interval and the corresponding utilization of compute resource. The calculated bill is produced to the consumer.
Keywords :
autoregressive moving average processes; cloud computing; invoicing; pricing; resource allocation; tariffs; ARIMA; auto-regressive integrated moving average statistical model; billing model; charged variable rates; cloud infrastructure; cloud metering; cloud services; compute resource utilization; load conditions; power grids; smart metering; tariff; Load modeling; Monitoring; Prediction algorithms; Predictive models; Pricing; Resource management; Servers; billing; cloud computing; load prediction; resource management; smart metering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Conference (SysCon), 2012 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4673-0748-2
Type :
conf
DOI :
10.1109/SysCon.2012.6189462
Filename :
6189462
Link To Document :
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