Thinking of distributed embedded systems (DES)—let alone the more general area of embedded computing—as a unified topic is difficult. Nevertheless, it is a vastly important topic and potentially represents a revolution in information technology (IT). DES is driven by the increasing capabilities and ever-declining costs of computing and communications devices, resulting in networked systems of embedded computers whose functional components are nearly invisible to end users. Systems have the potential to alter radically the way in which people interact with their environment by linking a range of devices and sensors that will allow information to be collected, shared, and processed in unprecedented ways.

Parallel programming is an extension of sequential programming; today, it is becoming the mainstream paradigm in day-to-day information processing. Its aim is to build the fastest programs on parallel computers. The methodologies for developing a parallel program can be put into integrated frameworks. Development focuses on algorithm, languages, and how the program is deployed on the parallel computer. 1.

The impact of cache is well understood in the systemdesign domain. While the concept of cache is extensively utilized in the von Neumann architecture, the same is not true for the distributed-computing architecture. For example, consider a three-tiered Web-based business application running on a commercial RDBMS. Every time a new Web page loads, many database calls are made to fill the drop down lists on the page. Performance of the application is greatly affected by the unnecessary database calls and the network traffic between the Web server and the database server. 2. Distributed Systems A distributed system is a heterogeneous system. Diverse system components are connected to each other via a common network. Applications using TCP/IP-based Internet are examples of open distributed systems. Figure 1 shows a typical distributed architecture: 1.

In this article, we will describe how the enterprise serviceoriented-architecture (SOA) scope is stretched with the advent of cloud computing. With the help of the case study of a fictitious global retailer, we will demonstrate the process for identifying cloud scenarios. Also, we will come across an emerging breed of distributed applications—both on-premise and in the Cloud—and discuss the integration considerations for building them. 1.

This paper proposes a 3D-model for managing industrial sites informations with coding and prioritizing the sources. Managing the industrial and construction site information are organized by PMBOK standard in this study. This model investigated on three different construction sites and factories including a building site, a tractor assembling factory and a food production factory. The results show, the 3D-model has floating act in the different problems. The proposed model is in good agreement with site information results.

Reducing the energy consumption of nodes in sensor networks and prolonging the network life time has been proposed as one of the most important challenges facing researchers in the field of sensor networks. Therefore, designing an energy-aware protocol to gather data from network level and transmitting it to sink is placed on the agenda at this paper. After presenting an analysis of the processes of clustering in sensory networks and investigating the effect of sending interval on the amount of energy consumption, We have shown that if the use of convex static casters be done such as all the communications within the cluster with the sending distance less than the optimal threshold, it Will help to increase the lifetime of nodes. also have shown that if we create a virtual backbone between cluster heads to transfer far cluster heads data from sink to sink, will has a significant impact on increasing the network lifetime. For this reason, a detailed discussion on how to determine the size of clusters and partitioning of the network environment to them is presented in Chapter 4.Simulation results show considerable improvement of the proposed algorithm.

The authors propose a semantic ontology–driven enterprise data– model architecture for interoperability, integration, and adaptability for evolution, by autonomic agent-driven intelligent design of logical as well as physical data models in a heterogeneous distributed enterprise through its life cycle. An enterprise-standard ontology (in Web Ontology Language [OWL] and Semantic Web Rule Language [SWRL]) for data is required to enable an automated data platform that adds life-cycle activities to the current Microsoft Enterprise Search and extend Microsoft SQL Server through various engines for unstructured data types, as well as many domain types that are configurable by users through a Semantic- query optimizer, and using Microsoft Office SharePoint Server (MOSS) as a content and metadata repository to tie all these components together. 1.

This article presents some of the characteristics of future service-oriented systems. Also, it focuses on a set of architecture and design drivers for these future service- oriented systems that can help meet new expectations without sacrificing the loosely coupled, stateless, standards-based characteristics that have driven SOA adoption in many contexts. The article concludes with thoughts on the key role of the architect in the serviceoriented systems-development process.

problem in Tree-based tag anti-collision protocols of RFID

Growth economic models play a crucial role in understanding countries development, inter-country macroeconomic relationship and, ultimately, to anticipate the effects on endogenous variables due to political shocks on model parameters or exogenous variables. Yet, build a mathematical model can be a difficult and time consuming task. Symbolic computations can be of great help in the development process. Then, the ability to simulate, under initial assumptions, is, assuredly, a priceless tool for policy makers to take decisions and to adapt them along the time. Robust and efficient solvers are required to allow for reliable and fast answers. This paper deals with an integrated computational approach to economic growth models, based on the exceptional ability of MATLAB's numerical computing and exploring its symbolic computing capabilities. Illustration is made with the Ramsey-Cass-Koopmans model, one of the macroeconomic workhorse models.