@inproceedings{ akshay2012,
  author = {Akshay Narayan and Shrisha Rao and Gaurav Ranjan and Kumar 
            Dheenadayalan},
  title = {Smart Metering of Cloud Services},
  booktitle = {6th Annual {IEEE} International Systems Conference
                  (IEEE SysCon 2012)},
  address = {Vancouver, BC, Canada},
  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.},
  note = {doi:10/g7xs},
  doi = {10/g7xs},
  month = mar,
  year = {2012}
     }