information and communication has opened a new chapter for the public to obtain autonomously. Information barriers are automatically by strong desire of individuals who always want know lates regarding any matter. The development education that is increasingly contemporary demands todays era cannot be denied, marked rapid technology. Which produced significant changes. Therefore, technology as ...

Todays companies face increasing complexity and dynamics in their processes, which lead to problems for centralized decision making in logistic process control. Thus, autonomously controlled logistic processes are proposed to overcome the induced negative effects. Logistic objects employ additional infrastructure components providing decision making and execution abilities to solve process cont...

Efficient IPv6 packet forwarding is still a major bottleneck in todays networks. Especially in the internet core we are faced with very large routing tables and a high number of high-speed links. In addition economical restrains exist in terms of manufacturing and operation costs. So demand is high for efficient IPv6 packet forwarding mechanisms. In the last few years a lot of work has been don...

The Internet has become the common medium for content distribution. Searching content using keywords is well-known. But there are many shortcomings to it. Users cannot search within the content and on many of the attributes of the content, i.e., other than its name. Content is also becoming increasingly decentralized. New mechanisms allowing access to complex distributed content is needed. We i...

The Lattice Boltzmann method (LBM) is a well established algorithm to simulate fluid flow. The complexity of todays 3D simulation problems resulting in long computation times together with the fact that a standard implementation of the LBM only achieves a small fraction of the potential of a modern CPU is the motivation for this performance analysis. We show in our paper, that it is crucial to ...

In todays bioinformatics, Mass spectrometry (MS) is the key technique for the identification of proteins. A prediction of spectrum peak intensities from pre computed molecular features would pave the way to better understanding of spectrometry data and improved spectrum evaluation. We propose a neural network architecture of Local Linear Map (LLM)-type for peptide prototyping and learning local...

Large scale high-performance computing systems pose a tough obstacle for todays program analysis tools. Their demands in computational performance and memory capacity for processing program analysis data exceed the capabilities of standard workstations and traditional analysis tools. The sophisticated approaches of Vampir NG (VNG) and the Debugging Wizard DeWiz intend to provide novel ideas for...

Developing a distributed application is hard due to the complexity inherent to distributed communication. Moreover, distributed object communication technology is always changing, todays edge technology will become tomorrows legacy technology. This paper proposes an incremental approach to allow a divide and conquer strategy that copes with these problems. It presents a design pattern for distr...

We present a parallel Preconditioned BiConjugate Gradient Stabilized(BICGstab) solver for the Poisson problem. Given a real, nosymmetric and positive definite coefficient matrix , the parallized Preconditioned BICGstab -solver is able to find a solution for that system by exploiting the massive compute power of todays GPUs.Comparing sequential CPU implementations and that algorithm.we achieve a...

Todays data stream management systems (DSMSs) lack security functionality. Based on adversary scenarios we show how a DSMS architecture can be protected. We sketch a general DSMS architecture and introduce security issues that need to be considered. To face the threats we develop an extended system architecture that provides the necessary security mechanisms. We descuss the chosen concepts and ...