Grid computing networks aggregate huge computing power that they need for solving different scientific problems. This power can be used for attacking the grid’s components as well as outside computers. Attacks such as the Denial of Service (DoS) could be used to target user machines, servers, and security management solutions to sabotage the normal operations of the grid computing network. In t...

GMPLS is a Network Control Plane (NCP) architecture that implements the concept of Grid Network Services (GNS). In the Phosphorus framework, GNS allows the provisioning of network and Grid resources in a single-step through a set of seamlessly integrated procedures. The implementation of GNS poses a number of requirements on the Control Planes of the underlying network infrastructure. This arti...

Smart Grid become more popular, a smaller scale of smart grid test-bed is set up at UNITEN to investigate the performance and to find out future enhancement of smart grid in Malaysia. The fundamental requirement in this project is design a network with low delay, no packet drop and with high data rate. Different type of traffic has its own characteristic and is suitable for different type of ne...

Grid cells in the dorsocaudal medial entorhinal cortex (dMEC) of the rat provide a metric representation of the animal’s local environment. The collective firing patterns in a network of grid cells forms a triangular mesh that accurately tracks the location of the animal. The activity of a grid cell network, similar to head direction cells, displays path integration characteristics. Classical r...

The concept of grid computing emerged with the appearance of high-speed network. Effective grid worker (i.e., computing resource) selection mechanism is important to achieve reliable grid computing system since each worker participate in grid computing is heterogeneous. In this paper, we suggest a credible worker selection mechanism that maximizes grid computing performance by allocating approp...

As large grid infrastructures, such as Enabling Grids for E-sciencE, mature, they are being used by scientists around the world in their daily work, running thousands of concurrent computational jobs and transferring large amounts of data. The successful and sustainable operation of such grid infrastructures is only possible through the use of monitoring tools. The underlying networks upon whic...

Many recent models study the downstream projection from grid cells to place cells, while recent data have pointed out the importance of the feedback projection. We thus asked how grid cells are affected by the nature of the input from the place cells. We propose a single-layer neural network with feedforward weights connecting place-like input cells to grid cell outputs. Place-to-grid weights a...

This paper suggests a new Grid computing architecture using programmable routers with network processors to distribute computing tasks at wire speed in a grid. Task Message datagrams containing code and data, but without explicit destination addresses are sent across the network, e.g. the Internet, and are immediately routed to the most appropriate computer by the network processors. Only a ret...

Simulation involves using a model to produce results, rather than experimenting with a real system. Simulations are typically computationally intensive problems, and lend themselves for execution on large-scale PC clusters or grids. Use of grid infrastructure for discrete event simulation like communications network simulations, or queuing network simulations etc. is not prevalent; making grid ...

The emerging Grid Economy, shall set new challenges for the network. More and more literature underlines the significance of network awareness for efficient and effective grid services. Following this path to Grid evolution, this paper identifies some key challenges in the areas of business modeling, accounting and billing and proposes an architecture that addresses them.