Titlebook: Distributed and Parallel Systems; In Focus: Desktop Gr Péter Kacsuk,Róbert Lovas,Zsolt Németh Book 2008 Springer-Verlag US 2008 Bridging.Cl

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书目名称Distributed and Parallel Systems影响因子(影响力)




书目名称Distributed and Parallel Systems影响因子(影响力)学科排名




书目名称Distributed and Parallel Systems网络公开度




书目名称Distributed and Parallel Systems网络公开度学科排名




书目名称Distributed and Parallel Systems被引频次




书目名称Distributed and Parallel Systems被引频次学科排名




书目名称Distributed and Parallel Systems年度引用




书目名称Distributed and Parallel Systems年度引用学科排名




书目名称Distributed and Parallel Systems读者反馈




书目名称Distributed and Parallel Systems读者反馈学科排名

任意

Bridging the Data Management Gap Between Service and Desktop Gridspersonal home computers. To date, with little exception, these systems have focused solely on exploiting idle CPU cycles and have yet to take full advantage of other available resources such as powerful video card processors, hard disk storage capacities, and high-speed network connections. As part

终点

Utilizing the EGEE Infrastructure for Desktop Gridsnotable management to keep the service running. On the other hand, desktop grids aim to utilize free CPU cycles of cheap desktop PCs, are easy to set up, but the availability towards users is limited compared to the service grid. The aim of the EDGeS project is to create an integrated infrastructure

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Integrating Condor Desktop Clusters with Griddesktop grid technologies like Condor and B.O.I.N.C provide an easy and inexpensive way of creating large distributed systems that provide their idle computing time for job execution. We successfully tested the interconnection of a Condor pool with an EGEE site and we are in the process of expanding

nepotism

Prediction of the Jobs Execution on the Community Grid with Added Network Latency realistic grid different mean times before failure (MTBF) are assumed for different nodes. In addition, a simplified network model is included. We present results of simulations on a model of such grid system and analyse its efficiency in terms of total execution time of simple jobs.

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Euro-Mediterranean Centre for Climate Change Data Grid, managed and stored as well as accessed, transferred and analyzed by several scientists and researchers at multiple sites..From the data grid perspective, a key element to search, discover, manage and access huge amount of data stored within distributed storages is the related data and metadata fra

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CARE

Fair Execution Time Estimation Scheduling in Computational Gridsputation resource that minimizes what we call its fair execution time estimation. The fair execution time of a task on a certain resource is an estimation of the time by which a task will be executed on the resource, assuming it gets a fair share of the resource’s computational power. Though space-s

剧毒

Multiprocessor Task Scheduling using a new Prioritizing Genetic Algorithm based on number of Task Chhe NP_hard problems and achieving the optimal schedule or finding the minimum schedule length, using the dynamic algorithm and back-tracking programming, would be time-consuming. Therefore, heuristic methods like genetic algorithms are suitable methods to schedule tasks in a multiprocessor system. I