The management of resources in the grid environments is complex as they are heterogeneous and geographically distributed. This paper proposes an effective resource management using the mobile agent method among distributed resources. In this paper, we discuss a Mobile-Agent-Based Grid Resource Management Model (MGRMM). In this model, resources will be deployed like commodity exchange and the te...

Computational Grids (Shupeng Wang & Yu, 2006) are emerging as next generation of parallel and distributed computing platforms for solving large-scale computational and data-intensive problems in science, engineering, and commerce. They enable the sharing, selection, and aggregation of a wide variety of geographically distributed resources including supercomputers, storage systems, databases, da...

Grid computing is a distributed computing model that provides access to the geographically distributed heterogeneous resources. These computational grid systems are highly unreliable in nature because of which they need fault tolerance to be an integral part of the system to increase reliability. Commonly utilized techniques for providing fault tolerance are discussed. This paper provides state...

These phenomena allowed companies and organisations to grow globally, reacting to the climate of uncertainty through the decentralisation of production and innovation. Shifting activities to the electronic dimension allowed an increase in efficiency and the reduction of coordination costs. At the same time, organisations geographically distributed start to interact and trade globally, enhancing...

The article describes all stages of the development an Information system for creation, and support scientific research in geology: from analytical environment to Unified Digital Space geological knowledge. current stage Project under is a step forward traditional geographically distributed digital future.

Grid computing, emerging as a new paradigm for next-generation computing, enables the sharing, selection, and aggregation of geographically distributed heterogeneous resources for solving large-scale problems in science, engineering, and commerce. The resources in the Grid are heterogeneous and geographically distributed. Availability, usage and cost policies vary depending on the particular us...

Expertise is the primary resource and product of professional service and technical firms. These firms often organize around project teams that advise and work under contract for clients. A key problem for management is to deploy expertise in project teams so as to meet the expertise requirements of projects and clients. Because expertise may be geographically distributed across multiple sites,...

In this paper we describe a collaborative environment created to support distributed evaluation of a complex system architecture. The approach couples an interactive architecture browser with collaborative walkthroughs of an evolving architectural representation. The collaborative architecture browser was created to facilitate involvement of project stakeholders from geographically dispersed, h...

This month’s column examines and evaluates various programming techniques for developing distributed applications. Our previous column outlined the requirements for a representative distributed application in the financial services domain. This application enables investment brokers to query the price of a stock, as well as to buy shares of stock. As shown in Figure 1, the quote service that ma...