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This paper proposes a game-theoretic approach to study the dynamic interactions between different residential customers with the capability to provide self-generated power in a small-scale residential distribution system, using the DistFlow algorithm to calculate the AC flow. In line with the high penetration of distributed renewable energy, some electric customers can play a more active role in the...
How to increase the utilization of data center networks (DCN) is a critical problem to ensure the quality of cloud services. Previous researches showed that the key is to increase the time-average utilization and decrease the overload ratio, and proposed many efficient virtual machine (VM) placement algorithms to achieve higher utilization. However, most of those works did not consider the quality...
This paper addresses opportunistic spectrum access (OSA) in non-cooperative cognitive radio networks (CRNs). The selfish behaviors of the secondary users (SUs) will cause a CRN to collapse. The SUs are thus enabled to build beliefs about how other SUs would respond to their decision makings. The interaction among the SUs is modeled as a stochastic learning process. In this way, each SU can independently...
As energy saving and environmental protection become an inevitable trend, researchers need to shift their focus to “green” oriented architecture design. Recent advances in the area of cognitive radio (CR) have significant potential towards “green” communications. One of the critical challenges for operating CRs in a wireless mesh network is how to efficiently allocate transmission powers and frequency...
For the goal of realizing to control urban road traffic flow to reduce congestion and obstruction, and perfecting the theories of the dynamic core and its application in the traffic management and control, this paper proposes the concepts of the dynamic core and coritivity of the dynamic flow network system, and the method of calculating the core and coritivity of the directed connected network system...
Developed a novel model named dynamic neural network model for the risk evaluation of an investment project. The fundamental identification of weight was given based on Triangle Fuzzy Number and Analytical Hierarchy Process (TFN-AHP), through combining the weight with dynamic decision group, a formula of dynamic normalized weight vector was established by Clustering, and the final weight vector of...
In order to effectively deal with randomness and fuzziness in multi-objective optimization, according to the advantages of cloud model in dealing with the two phenomenon, it is combined to multi-objective optimization problem. In addition, for genetic algorithm, because of the inherent of parallel mechanism, it can ensure to obtain numbers of possible Pareto optimal solution at the same time, and...
The common method to solve performance bottleneck problems of network service nodes is to take use of server cluster systems. At present, the schema which uses centralized load balancer to do management of system load is dominant. But the load balancer used may become a bottleneck of the system. This paper first analyzes and compares the existing load balancing technologies, and then proposes the...
In this paper, a novel resource allocation algorithm (CPFAH) for future wideband mobile communication systems is proposed. The basic idea is to schedule mobile stations according to their respective retransmission times. Thus the retransmission delay can be reduced and user fairness can be maintained. The algorithm takes the advantage of conventional performance-enhancing methods, e.g. frequency hopping,...
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