In the environment of distribute data stream systems, the available communication bandwidth is a bottleneck resource. It is significant to reduce the communication overhead as possible for improving the availability of communication bandwidth with the constraint of the precision of queries. In this paper, we propose a new method for transferring data streams in distributed data stream systems, ...

In the environment of wide-area networks such as the Internet, distributed query processing becomes problematic due to the changing coming from both underlying networks and user’s requirements. In this new context, conventional query processing strategies with the homogeneous assumption will not work well, because they are unable to adapt to unexpected changes in the performance of the communic...

This paper introduces the DUP System, a simple framework for parallel stream processing. The DUP System enables developers to compose applications from stages written in almost any programming language and to run distributed streaming applications across all POSIXcompatible platforms. Parallel applications written with the DUP System do not suffer from many of the problems that exist in traditi...

In this paper Interoperability Architecture (IA) for distributed processing is proposed to provide an uniform platform for application developed over a family of languages or software tools. The basic properties of IA and its functional model are described. As a building IA component Interoperability Server (IS) is speciied in a form of generic module which may be customized for diierent langua...

The computational complexity of the multiple-input and multiple-output (MIMO) based least square algorithm is very high it cannot be run on processing-inefficient low-cost platforms. To overcome complexity-related problems, a parallel distributed adaptive signal processing (PDASP) architecture proposed, which framework used to efficiently filtering algorithms having cost. In this paper, communi...