The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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...
In distributed computing environment, divisible load technique is used to speedup the completion time of a parallel task by splitting a huge task into a smaller grain size jobs where jobs can be executed remotely by other nodes. Due to the heterogeneity of computing nodes, load balancing technique is employed to distribute workload evenly across distributed nodes in order to reduce the overall response...
Clustered heterogeneous computing environment is used to execute parallel applications that require significant amount of computing resources either in the form of computational processing resources or data storage. A cluster, comprising of heterogeneous nodes, requires careful load balancing strategies in order to result in a good processing response time for parallel applications. The workload for...
The chemical task in internal combustion engine simulations concerns with the solution of a non-linear stiff system of Ordinary Differential Equations (ODEs) per each cell of a discretization grid representing engine geometry. The computational cost of the above task, when a detailed kinetic scheme is used, is dominating in engine simulations. Due to local physical-chemical conditions, each system...
In this paper, we present a dynamic load-balancing algorithm for optimistic gate level simulation making use of a machine learning approach. We first introduce two dynamic load-balancing algorithms oriented towards balancing the computational and communication load respectively in a Time Warp simulator. In addition, we utilize a multi-state Q-learning approach to create an algorithm which is a combination...
In order to improve the speed and efficiency of dynamic route solution for traffic network, the paper constructs parallel simulation solution framework using distributed and parallel simulation technology and illuminates parallel simulation strategy which master process assigns sub-task to slave process. At the same time, the parallel simulation algorithm and implemented process of dynamic route solution...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.