Energy Efficient IoT Virtualization with Passive Optical Access Network
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In this paper, the energy efficiency of edge computing platforms for IoT networks connected to a passive optical network (PON) is investigated. We have developed a mixed integer linear programming (MILP) optimization model, which optimizes the placement and number of the cloudlets and VMs and utilizes energy efficient routes with the objective of minimizing the total IoT network and processing power consumption. Our results indicate that concentrating the VMs placement at the PON optical line terminal (OLT) that interconnects several IoT networks can help in saving power consumption when the VMs process raw data at low traffic reduction percentages. On the other hand, VMs should be placed in lower layer relays at high traffic reduction ratios. Our results indicate that up to 19 heterogeneous VMs. For real time implementation, a heuristic is developed based on the MILP model insights with very comparable MILP-heuristic power consumption values. We considered three scenarios that represent different levels of homogeneous and heterogeneous VM CPU demands. Good agreement was observed between the heuristic results (17 results in 19
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