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Energy harvesting has drawn more and more attention because of the requirement of the green communication. It is well known that energy harvesting is one of the most important technologies of the green communication. Due to the intermittency of the renewable energy and the different space of the Base stations (BSs), the renewable energy cooperation is necessary to improve the renewable energy efficiency...
Recently, energy efficiency (EE) has drawn more and more attentions due to the need for green communication. It is well-known that the base station (BS) sleeping strategy and radio resource allocation can effectively improve the EE for the wireless communication networks. Meanwhile, renewable energy is important to decrease the carbon emissions which is also subject to the need for green communication...
In this paper, the cloud services optimization problem considering energy consumption cost is discussed. The queue model is presented for customer request service on data center. Since the server energy utility is based on the CPU core frequency, the novel trade-off optimization model between services revenue and energy loss cost is proposed in the paper, including allocating the dynamic CPU frequency...
The conventional resource allocation method is so-called two-step method in OFDM system. The two-step method can reduce the computational complexity. However, it's solution accuracy is not very good. This paper proposes an improved two-step method. This method combines evolutionary algorithm with simulated annealing thought, and can take into account the sub-carrier distribution and power distribution...
This paper presents Customer Satisfaction (CS) based resource allocation strategy in orthogonal frequency-division multiplexing (OFDM) wireless system with multimedia traffic. The risk aversion utility functions are analyzed, based on which, the CS utility and the CS resource allocation strategy are proposed. Compared with the Proportional Fairness (PF) utility, the CS utility enables the system to...
In this paper, we propose a novel load-balanced scheme-split aggregated flow (SAF) and design the buffering mechanism for two-stage self-routing switch. By grouping the signal lines with concentrators, the proposed scheme can obtain the statistical multiplex gain and reduce the complexity of computation. The mathematical analysis and simulations show that 100% throughput can be achieved for any admissible...
A concentrator-based load balancing multi-path self routing switching fabric(LB-MPSR-C) was proposed recently, which was based on sorting concentrators, load-balanced and Birkhoff von-Neumann switching theory. This structure can achieve 100% throughput under admissible traffic pattern, its scalability for super large scale switching system and property of lowest hardware complexity have been deeply...
Unstructured P2P systems are popular resource sharing platforms. Selection of high quality peers and parallel downloads require a multi-source-hit query paradigm. The existing algorithms for multi-source locations need more message and replica maintenance overheads. According to the resource layout attributes in unstructured P2P systems, in this paper, a Replica Pointer Maintenance (RPM) scheme is...
Resource leveling problem is among the top challenges in project management. Traditional heuristic methods and exact algorithms based upon enumeration, branch-and-bound, integer programming or dynamic programmings usually face great difficulties for large and complex projects. In this paper, an improved particle swarm optimization (IPSO) algorithm is presented to solve this problem. Firstly, a mapping...
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