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We study the overload control problem of application server in the next generation electric communication network in this paper. We introduce an energy efficiency overload control algorithm based on simulated annealing. Firstly, by considering the overload control and energy efficiency, we construct the relations function between the input rate control and energy efficiency using rate allocation. Then, we construct the optimal overload control model of energy efficiency by regarding this relation function as objective function and overload control as constraint conditions. Thirdly, we use simulated annealing algorithm to solve this model, and then obtain the optimal solution during the iterative process. The simulation results show that our algorithm is feasible and effective.

In this paper, we address the problem of real-time network traffic monitoring in the communication network of smart grid. And we propose an effective distributed network traffic monitoring approach. In our algorithm, instead of measuring all the origin-destination pairs, we just need to measure partial origin-destination pairs that flows our communication network. From the measured origin-destination pairs, we can obtain all the origin-destination pairs via our recovery algorithm. Finally, we validate the properties of our method by real network data.

This paper studies the overload control problem of the Parlay gateway in next-generation electric power communication network. First, this paper analyses the effectiveness and fairness of the overload control of the Parlay gateway. And then taking the energy efficiency of the electric power communication network as target, we establish the optimization model of energy efficiency overload control. Thirdly, we put forward an energy efficiency overload control algorithm based on the ant colony algorithm. Simulation results show that our algorithm is feasible and effective.

The rapid growth of data service promotes the construction of the electric power telecommunication in smart grids. With the objective of energy savings, we determine the optimal location of the data center with the minimal energy cost within all possible positions. An Integer Linear Program (ILP) is formulated and we also propose the corresponding algorithms, mainly including Green Optical Bypass Energy Saving Grooming Algorithm (GOBEGA) and Green Non-Bypass Energy Saving Grooming Algorithm (GNBEGA). Simulation results demonstrate that the proposed algorithms have the good performance of energy savings, and GOBEGA has the lower energy cost compared with GNBEGA.

Due to the heterogeneity and the nature of distributed control, the existing electric power data communication network based on Synchronous Digital Hierarchy (SDH) has been unable to meet the requirements of dynamic resource allocation and fine-grained traffic monitoring. The OpenFlow-based Software Defined Network (SDN) allows operators dynamically control and monitor the whole network using the software running on the operating system of the centralized controller (e.g., NOX controller). Thus, in this paper, we propose the SDN-based fault-tolerant solution for the electric power data communication network. The feasibility and efficiency of the proposed solution are verified, and the performances of the dynamic end-to-end path restoration, such as the CPU utilization of NOX and end-to-end delay, are quantitatively evaluated in our experimental platform. The experimental results indicate that the dynamic end-to-end path restoration can be achieved within tens of milliseconds by using our SDN-based solution.