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Rapid growth of internet and other technologies seems more challenging to develop the high speed networks with powerful capabilities in lower computational cost. To cover the above problem grid computing has emerged rapidly. The previous technologies such as distributed computing cluster computing, parallel computing, etc., facing the problem of space utilization. Using Grid Computing technologies...
The article introduces an improved ant colony algorithm (IACO) for the grid independent tasks scheduling problem. Min-min algorithm can decide the resource which can complete the task early. Initializing the pheromone of ant colony algorithm with Min-min algorithm can improve the lack of initial pheromone, slowing speed of solving. To avoid the ??premature?? phenomenon of the latter part, this paper...
In hybrid heterogeneous and dynamically changing distributed grid environment, how to assign tasks to appropriate resources is one of the most challenging techniques. In this paper, we present a novel grid task assignment model and corresponding algorithm based on agents, small-world network model theory, and power-law. With the help of agents to assign tasks, the proposed model and algorithm can...
Decrease in hardware costs and advances in computer networking technologies have led to increased interest in the use of grid computing systems. One of the biggest issues in such systems is the development of effective techniques/algorithms for the distribution of the jobs/load of a grid application on multiple resources to achieve goals such as minimizing execution time, minimizing communication...
This article is absorbed in the grid and a system framework for the simulation grid is introduced. The model of the modularization function is designed. The solution of pivotal technology and realization which correlated to function modules is discussed. Resource management and task schedule in simulation grid system is effectively realized which is shown to enhance the effect of simulation running.
The traditional min-min algorithm is analyzed carefully based on the research of the existing mission scheduling algorithms of grid computation, and it is pointed out that the flaw of load unbalance exists in the min-min algorithm. An improved segmental method-based algorithm is introduced on the ground of min-min algorithm, on the contrary, whose flaw is solved efficiently by the improved algorithm...
Load balancing is crucial to computational grids. Based on the typeof information on which corresponding decisions are made, load balancing approaches can be generally categorized into two classes: average-based and instantaneous approaches. Both these two classeshave merits and demerits. It's therefore advantageous to combineboth of them to work in tandem to form a hybrid approach that makesthe best...
One of the challenges in grid computing is to find an efficient way to manage and allocate system resources. Through researching and analyzing present scheduling methods, a kind of two-level centralized scheduling model is proposed, and the algorithm is represented. The rate of load balancing is accelerated by the algorithm established two-level centralized scheduling pattern. Through the load balance...
Grid resource management and scheduling are confronted with a great challenge. This paper presented a dynamic resource price-adjusting (RPA) strategy in computational Grid. Three new concepts and two new evaluation standards are defined. On the basis of these theories, a Grid resource scheduling algorithm based on marker-driven using dynamic RPA strategy is proposed. With the help of GridSim toolkit,...
Dynamic load balancing is a key factor in achieving high performance for large scale distributed simulations on grid infrastructures. In a grid environment, the available resources and the simulationpsilas computation and communication behavior may experience run-time critical imbalances. Consequently, an initial static partitioning should be combined with a dynamic load balancing scheme to ensure...
The ever changing demands on computational resources has information systems managers looking for solutions that are more flexible. Using a ldquobigger boxrdquo that has more and faster processors and permanent storage or more random access memory (RAM) is not a viable solution as the system usage patterns vary. In order for a system to handle the peak load adequately, it will go underutilized much...
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