Titlebook: Intelligent Distributed Computing VII; Proceedings of the 7 Filip Zavoral,Jason J. Jung,Costin Badica Conference proceedings 2014 Springer

Jefferson

书目名称Intelligent Distributed Computing VII影响因子(影响力)




书目名称Intelligent Distributed Computing VII影响因子(影响力)学科排名




书目名称Intelligent Distributed Computing VII网络公开度




书目名称Intelligent Distributed Computing VII网络公开度学科排名




书目名称Intelligent Distributed Computing VII被引频次




书目名称Intelligent Distributed Computing VII被引频次学科排名




书目名称Intelligent Distributed Computing VII年度引用




书目名称Intelligent Distributed Computing VII年度引用学科排名




书目名称Intelligent Distributed Computing VII读者反馈




书目名称Intelligent Distributed Computing VII读者反馈学科排名

Ablation

痛恨

裂口

吹牛者

Matching Users with Groups in Social Networks, multi-agent system to suitably distribute the computation on all the user devices. Some preliminary results obtained on simulated On-line Social Networks data show both a good effectiveness and a promising efficiency of the approach.

符合规定

A Heuristic to Explore Trust Networks Dynamics, Therefore, in this work we propose a heuristic based on statistical considerations that allows a node to achieve a good rank via a proper selection of trust links with other nodes, preserving both the effectiveness and the efficiency.

fibula

Resource Scaling Performance for Cache Intensive Algorithms in Windows Azure,sources or spreading the job among several instances of virtual machines with less resources. In this paper we analyze behavior of Microsoft Windows Azure Cloud on different loads. We find the best way to scale the resources to speedup the calculations and obtain best performance for cache intensive algorithms.

Feckless

Spina-Bifida

Distributed Version of Algorithm for Generalized One-Sided Concept Lattices,e designed the distributed version of the algorithm and showed its applicability on the generated data set. The algorithm is able to work well especially for data where number of newly generated concepts is reduced (like for sparse input data tables).

歌剧等

Distributed/Parallel Genetic Algorithm for Road Traffic Network Division for Distributed Traffic Si in this paper uses a similar approach, but utilizes a distributed/ parallel computing environment for a distributed/parallel execution of the genetic algorithm and, consequently, for the speedup of the entire method.