Hadoop MapReduce framework is an important distributed processing model for large-scale data intensive applications. The current Hadoop and the existing Hadoop distributed file system’s rack-aware data placement strategy in MapReduce in the homogeneous Hadoop cluster assume that each node in a cluster has the same computing capacity and a same workload is assigned to each node. Default Hadoop d...

In data grid, using reservation is accepted to provide scheduling and service quality. Users need to have an access to the stored data in geographical environment, which can be solved by using replication, and an action taken to reach certainty. As a result, users are directed toward the nearest version to access information. The most important point is to know in which sites and distributed sy...

In this paper, optimization of the backstepping controller parameters in a grid-connected single-phase inverter is studied using Imperialist competitive algorithm (ICA), Genetic Algorithm (GA) and Particle swarm optimization (PSO) algorithm. The controller is developed for the system based on state-space averaged model. By selection of a suitable Lyapunov function, stability of the proposed con...

In real-world applications, costs for products are not deterministic: neither static nor dynamic. They actually tend to be non-stationary and cross-correlated. To overcome this drawback, there have been some efforts by researchers to extend the Wagner–Whitin algorithm to consider stochastic costs. However, they assume that the information of probability density function of random costs exists. ...

With the advent of the era of “Big Data”, the application of the large-scale data is becoming popular. Efficiently using and analyzing the data has become an interesting research topic. Traditional knowledge reduction algorithms read small data samples once into a computer main memory for reduction, but it is not suitable for large-scale data. This paper takes large-scale sensor monitoring dyna...

The essential elements of any navigation system are a shortest‐path algorithm and a map dataset. When seen in the light of the basic requirement of such a system, to provide high quality navigation solutions fast, algorithms have to be efficient and road networks have to be up‐to‐date. The contribution of this work is two‐fold. First, the HBA* algorithm, an efficient shortest‐path algorithm, is...

This paper derives a new splitting-based decomposition algorithm for convex stochastic programs. It combines certain attractive features of the progressive hedging algorithm of Rockafellar and Wets, the dynamic splitting algorithm of Salinger and Rockafellar and an algorithm of Korf. We give two derivations of our algorithm. The first one is very simple, and the second one yields a precondition...

although many scholars have proposed all kinds of key successful factors (ksfs) for erp activity to smoothly enhance the implementation of erp, the ksfs are based too much on concept and protocol cannot help an enterprise to achieve this objective. therefore, this research through qualitative interview method, integrating the ksfs and dynamic capability to set up a model so as to exhibit the ki...

Optimal distribution substation placement is one of the major components of optimal distribution system planning projects. In this paper optimal substation placement problem is solved using Imperialist Competitive Algorithm (ICA) as a new developed heuristic optimization algorithm. This procedure gives the optimal size, site and installation time of medium voltage substation, using their relate...