@inproceedings{ mani2011,
  author = {Sudha Mani and Shrisha Rao},
  title = {Operating Cost Aware Scheduling Model for Distributed
                  Servers Based on Global Power Pricing Policies},
  booktitle = {Compute 2011: The 4th ACM Bangalore Conference},
  address = {Bangalore, India},
  abstract = {Reducing the power consumption and operational cost of
                  IT servers is of great concern today. With the
                  growth of the Internet and online services, the
                  number of data centers is increasing day by
                  day. Servers for many cloud applica- tions and other
                  large providers are spread globally. Energy costs
                  across the globe vary dynamically. Servers operate
                  at varied energy costs based on their location and
                  time of use. The load of a server varies based on
                  its geographical location and the time of
                  operation. This paper focuses on exploiting the
                  dynamic nature of electrical power pricing, so that
                  a cost saving is obtained by geo-location of
                  requests to servers operating at lower costs at
                  particular times. There exist patterns of load that
                  are similar for different types of
                  servers. Scheduling decisions are made considering
                  both loads and operating costs of the servers into
                  account, i.e., requests are scheduled to run on
                  servers operating at low cost that also have low
                  expected load. In order to meet the business
                  requirements of an application, scheduling decisions
                  for requests that have stringent SLA considerations
                  or high server affinity, are made by assigning high
                  priority for these requests. Geo-location of
                  requests is done for low priority requests.},
  note = {doi:10.1145/1980422.1980434},
  month = mar,
  year = {2011}
     }