Current DijJServ architecture lacks mechanisms for network path discovery with specific service performance. It is recommended in RFC 2990 [I] that an admission control function be defined which can determine whether to admit a service differentiated flow along the nominated network path, This paper proposes Fair Intelligent Congestion Control over DijJServ (FICC-DS) for addressing this issue. ...

abstract amusement programming, accomplishing ecological and/or environmental plans, in addition to establishing recreational centers, are of the important issues in regional and large-scale management of each country. herein, lack of financial resources to establish amusement areas, has led the natural resource management system to valuate such resources based upon new scientific methods. meas...

With a rich variety of forms and types, digital resources are complex data objects. They grows fast in volume on the Web, but hard to be classified efficiently. The paper presents a practical classification solution using features from file names and extensions of digital resources. The features are easy to get and common to all resource. But they are generally low frequency and sparse, which i...

Load balancing is the process of redistributing the work load among nodes of the distributed system to improve both resource utilization and job response time while also avoiding a situation where some nodes are heavily loaded while others are idle or doing little work. A dynamic load balancing algorithm assumes no a priori knowledge about job behavior or the global state of the system, i.e., l...

We tackle the problem of multi-task learning with copula process. Multivariable prediction in spatial and spatialtemporal processes such as natural resource estimation and pollution monitoring have been typically addressed using techniques based on Gaussian processes and co-Kriging. While the Gaussian prior assumption is convenient from analytical and computational perspectives, nature is domin...

Feedforward neural networks such as multilayer perceptrons (MLP) and recurrent neural networks are widely used for pattern classification, nonlinear function approximation, density estimation and time series prediction. A large number of neurons are usually required to perform these tasks accurately, which makes the MLPs less attractive for computational implementations on resource constrained ...

Project planning is one of the most important activities in software projects. Poor planning often leads to project faults and dramatic outcomes for the project team. If cost and effort are determined pessimistic in software projects, suitable occasions can be missed; whereas optimistic predictions can be caused to some resource losing. Nowadays software project managers should be aware of the ...

The paper suggests a method of predicting changes in the cell powers of a WCDMA network due to resource allocations such as admitting new users or changing bit rates. The method facilitates load control, admission control, and packet scheduling. The method makes no strict assumptions about the function that maps load influencal parameters and changes in them to changes in the total received int...