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Many cloud service providers (CSPs) provide data storage services with datacenters distributed worldwide. These datacenters provide different get/put latencies and unit prices for resource utilization and reservation. Thus, when selecting different CSPs’ datacenters, cloud customers of globally distributed applications (e.g., online social networks) face two challenges: 1) how to allocate data to...
In this study, distributed energy resources scheduling problem of the set of smart homes (SHs) is investigated considering their cooperation with their neighbors and applying a stochastic model predictive control (MPC). Herein, every SH has a variety of sources and each SH is able to transact power with the local distribution company (DISCO) through the grid and with other connected SHs. The challenges...
In this study, optimal parking lots (PLs) for plug-in electric vehicles (PEVs) fleet are allocated on a feeder of a given electrical distribution network to minimize the total cost of the local distribution company (DISCO) considering driving patterns of the PEVs' drivers and their behavioral model in respect to the value of incentive (discount on charging fee) and the distance from the PL. The cost...
Many Cloud Service Providers (CSPs) provide data storage services with datacenters distributed worldwide. These datacenters provide different Get/Put latencies and unit prices for resource utilization and reservation. Thus, when selecting different CSPs' datacenters, cloud customers of globally distributed applications (e.g., online social networks) face two challenges: i) how to allocate data to...
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