Computer systems can be used to propagate expertise within a professional community of practice, e.g. decision support systems, to drive standardization and systematization of processes, e.g. supply chain management systems. In this paper, we describe a case study that spans fifteen years and documents the co-evolution of a community of software users, which is distributed across continents, an...

The advance of computer, network, and Internet technology enables the control systems to process the massive data in the distributed computing environments. To implement and maintain the software in distributed environment, the component-based methodology is widely used. This paper proposes the middleware architecture for the distributed computer control system. With the proposed middleware ser...

I. Introduction Distributed Computing systems have become popular due to the advances in computer hardware and interconnection network technology. Distributed processing system is a computer system in which multiple processors connected together through a high-bandwidth communication link. These links provides a medium for each processor to access data and programs on remote processors. The per...

The principal goal of all resource-sharing computer networks, including the now international ARPA Network (the ARPANET), is to usefully interconnect geographically distributed hardware, software, and human resources [1]. Achieving this goal requires the design and implementation of various levels of support software within each constituent computer, and the specification of network-wide "proto...

The design of the computer system was significantly changed due to the emergence and popularization of the multicore processors. Moving to the advanced multicore processors, moving to the heterogeneous computer systems and increasing of the integrity level between computer system components are the main trends of the computer systems development. Significant changes in the computer systems desi...

This paper presents a multi-objective formulation for optimal siting and sizing of distributed generation (DG) resources in distribution systems in order to minimize the cost of power losses and energy not supplied. The implemented technique is based on a genetic algorithm (GA) and weight method that employed to obtain the best compromise between these costs. Simulation results on 33-bus distri...