This work is an endeavour to present the background of distributed systems and its applications in data mining tasks. The role of distributed systems in data mining is ardent and indubitable. In fact with the advent of more compact and robust technological advances in terms of communication devices and range achievable, this area sounds promising with wide applicability. With ubiquitous computi...

Distributed Generation (DG) in the form of renewable power generation systems is currently preferred for clean power generation. It has a significant impact on the distribution systems. This impact may be either positively or negatively depending on the distribution system, distributed generator and load characteristics. In this works, an overview of DG is briefly introduced. The technology of ...

In this paper we present a multi issue negotiation model which can be used for guiding agents during distributed problem solving This model is composed of proto cols which govern and manage agent interactions and an agent architecture which represents decision mech anisms which assist agents during distributed problem solving processes keywords Negotiation Agent Architecture

This paper addresses the issue of separation of concerns in the design and implementation of distributed real-time systems. It gives an overview on the activities done in the theoretical and practical domains of the SACC (Software Architecture = Components + Coordination) project in order to provide a support for this idea. Keywords—Distributed Real-time Systems; Middleware; Formal Specificatio...

In this paper, we investigate the performance and success rates of Naïve Bayes Classification Algorithm for automatic classification of Turkish news into predetermined categories like economy, life, health etc. We use Apache Big Data technologies such as Hadoop, HDFS, Spark and Mahout, and apply these distributed technologies to Machine Learning. Keywords—news classification, distributed machin...

Paper describes the theoretical and practical aspects of the proposed model that uses distributed computing to a global network of Internet communication. Distributed computing are widely used in modern solutions such as research, where the requirement is very high processing power, which can not be placed in one centralized point. The presented solution is based on open technologies and comput...

We consider optimal distributed decisions in distributed computer systems. We identify a Braess-like paradox in which adding capacity to the system may degrade the performance of all users. Unlike the original Braess paradox, we show that this behavior occurs only in the case of finitely many users and not in the case of infinite number of users. keywords Braess paradox, Nash equilibrium, Wardr...

This paper presents an approach to design, implement and deploy a simulation platform based on distributed workflows. It supports the smooth integration of existing software, e.g., Matlab, Scilab, Python, OpenFOAM, Paraview and user-defined programs. Additional features include the support for application-level fault-tolerance and exception-handling, i.e., resilience, and the orchestrated execu...

This paper proposes an emotion recognition system. Human emotion can be expressed through many kinds of medium such as speech, image, facial expression, and so forth. This paper focuses on the textual data of them. Proposed system is a hybrid system that uses alternatively two methods, keyword-based and machine learning method. Keyword-based methods are traditional approaches using emotional ke...

The purpose of this paper is to present an introduction to Distributed Database. It contains two main parts: first one is fundamental concept in Distributed Database and second one is Different technique use in Distributed Database. Database with a production of huge data sets and their processing in real-time applications, the needs for environmental data management have grown significantly. M...