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We design a metric to measure the occupied holding time difference of frequency slots. With the metric, a routing and spectrum allocation algorithm in dynamic scenario is proposed to improve the network spectral utilization. Evaluation results show the proposed algorithm outperforms obviously in blocking probability.
Congestion problem is an important factor affecting network performance, this paper studies the congestion control problem in multilayer intelligent optical networks (IONs), proposed a kind of postponed teardown congestion control algorithm (MinLP_PTD), which based on critical link prediction and using grooming strategy. Firstly, considering the expected congestion of the link, defined critical link...
Time series is a ubiquitous data existed in different domains including finance, medicine, business and other industrial fields. Recently, time series data mining attracts much attention. In this paper, we propose multilayer piecewise aggregate approximation (MPA) to measure the Similarity of time series. The proposed method is constituted of two parts: multi-level segment method based on extreme...
The amount of data in financial data is enormous and mining it has a great value. For stock market, how to effectively select stocks from a reference sector is very important for investors. Based on the co-movement effect between stocks, this paper introduces a concept which is the stock's influence and constructs the influence matrix by using the time series of stocks. Then we divide the new stock...
Nowadays, in China, Weibo is becoming an increasingly popular way for people to know what is happening in the world. Labelling topics is of much importance for better understanding the semantics of topics. Existing works mainly focus on deriving candidate labels by exploring the use of external knowledge, which may be more appropriate for well formatted and static documents. Recently, it has been...
Cloud resource and its load have dynamic characteristics. To address this challenge, a dynamic self-adaptive evaluation method (termed SDWM) is proposed in this paper. SDWM uses some dynamic evaluation indicators to evaluate resource state more accurately. And it divides the resource load into three states - Overload, Normal and Idle by the self-adaptive threshold. Then it migrates overload resources...
As an effective service mode, online auditing which serves the highest state audit institution is emerging as an important tool for national governance. However, as a crucial part during online auditing workflow, data stream processing has become one of the most important problems that restrains the development of online auditing. To address this problem, our study are primarily focusing on three...
Aiming at the problem of intelligent path guidance in the parking lot, an improved Particle Swarm Optimization Algorithm(PSO) is proposed in this paper to find the optimal path. In order to overcome the shortcomings that standard PSO traps into local optima easily and improve the convergence speed of algorithm, the concept of GA and Multi-thread Technology are introduced. The experiment results show...
For the disadvantages of BP neural network(NN), which easily traps into a local optimum and is sensitive to the initial parameters of the network, an algorithm for the optimization of the architecture, the weights and the thresholds of neural networks using an improved gene expression programming(IGEP) was presented. First, the basic principles of BP neural network (BP-NN) and GEP was introduced and...
Web user's online interactive behavior with others often makes some user generated contents popular. The modeling and prediction of the popularity of online content are an important research issue for many key application domains. In this paper, we focus on one form of user generated content, forum threads, and their popularity prediction for public events security. To predict the popularity of forum...
In practice, a chip multiprocessor (CMP) with many nodes often runs multiple applications simultaneously and nodes allocated to different applications seldom communicate. Leveraging the non-uniformity of communication, it is possible to optimize the Network-on-Chip (NoC) performance for the case of single chip running multiple applications through reducing the physical links lengths between nodes...
Multicast routing is a very important research issue in self-organizing networks and distributed systems. It is also a challenging and hard problem for high-performance networks of the next generation. Due to it is NP-completeness, many heuristic methods have been employed to solve the problem. This paper proposes distributed algorithm for optimized self-organizing network of multicast routing (DOSMR)...
Static and dynamic machine scheduling problems have been widely addressed in literature. Compared with static scheduling, dynamic scheduling is more difficult since the detailed information about jobs and machines (like the arrival time of jobs) is not available at the initial time. Hence the lack of information makes dynamic scheduling problems harder than static ones. In this paper, the learning...
This paper introduces a new line-simplification algorithm to compress spatio-temporal data. Line-simplification is an effective method, which is generally applied in compressing linear features data by throwing away some redundant spatiotemporal points to preserve the shape of original line. We evaluate our algorithm's performance by comparing with some other line-simplification algorithms. By comprehensive...
Dynamic software updating for onboard software maintains platform's stability, enables onboard regression test, supports dynamic software reconstruction. It enhances satellite reliability and usability. In this paper, we discuss dynamic software updating for onboard software, present a dynamic software updating system.
We propose dynamic routing and spectrum assignment algorithms for bitrate-flexible lightpaths in OFDM-based optical networks. The novel algorithms enable dynamic spectrum assignment with more efficient resource utilization and less traffic blockings.
This paper investigates the radio irregularity (RI) phenomenon and its impact on communication performance in wireless sensor networks (WSNs). Based on the theoretical analysis, we find that the RI phenomenon induces the asymmetric links problem. According to this discovery, we propose a novel HCT (Hop-count Correction Tree) scheme to handle this problem. HCT utilizes graph theoretical method to get...
ADC is one of the key components employed in the digital controlled DC-DC converters. In this paper, a low power and high resolution algorithmic ADC is designed, which is suitable to the integrated digital controllers for high-frequency and low-power switched DC-DC converter. The designed 8-bit algorithmic ADC has 2 bits per stage. Simulation results show that ENOB up to 7.6bit is obtained. As one...
In this paper, we investigate the power allocation for spectrum sharing with constraints of energy consumption in a fixed period. The proposed online power auction is designed according to the pricing discipline of non-cooperative game. Though avoiding abusing energy while interference is great at some time steps, the regret of online power auction (OPA) is acceptable. Numerical results showed that...
To resolve flexible and dynamic integration problems in System Integration, Scripted-Control technology has applied to Multi-Agent System. This paper proposes a Scripted-Control Integration and a Script Switching to enhance the flexibility in the dynamic environment. It presents the algorithms of these behaviors, and then gives an analysis of system load. Finally, Coastal Defense Simulation System...
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