A Neural Tree Model for Classification of Computing Grid Resources Using Pso Tasks Scheduling

Abstract

Abstract:Most of the traditional clustering algorithms are poor for clustering more complex structures other than the convex spherical sample space. In the past few years, several spectral clustering algorithms were proposed to cluster arbitrarily shaped data in various real applications. However, spectral clustering relies on the dataset where each cluster is approximately well separated to a certain extent. In the case that the cluster has an obvious inflection point within a non-convex space, the spectral clustering algorithm would mistakenly recognize one cluster to be different clusters. In this paper, we propose a novel spectral clustering algorithm called HSC combined with hierarchical method, which obviates the disadvantage of the spectral clustering by not using the misleading information of the noisy neighboring data points. The simple clustering procedure is applied to eliminate the misleading information, and thus the HSC algorithm could cluster both convex shaped data and arbitrarily shaped data more efficiently and accurately. The experiments on both synthetic data sets and real data sets show that HSC outperforms other popular clustering algorithms. Furthermore, we observed that HSC can also be used for the estimation of the number of clusters.

Parallel Simulation of Tasks Scheduling and Scheduling Criteria in High-performance Computing Systems

“…This paper is based on our previous work related to the proposal of models for parallel tasks in workflow, their computing in a distributed environment, and also from the design of algorithms to support the scheduling [2,3,4]. Some approaches of stochastic and heuristic optimization methods for scheduling in grids are suggested.…”

“…Hybrid model of genetic algorithm and Tabu search suggested Xhafa et al [10,11]. Other approaches focus on fuzzy PSO optimization [12], artificial neural networks [13], neural trees [2] and economically based methods [14,15].…”

Construction Of Cloud Based E-Learning Platform With Privacy Preserved Public Data Verification Services

“…The paper is based on our previous work that describe the, E-learning course for scheduling of computer grid and design of algorithms and models to support the scheduling tasks in grid systems [8]. This paper is also partially related to the proposal of models for parallel tasks in workflow, designed in our previous work [10], [11].…”

“…whether their data remains intact on the cloud servers. The integrity check on users' data can be performed by a cloud server, however the cloud server may always generate a good integrity report for good reputation even if some data are damaged or missing [8]. Users should be able to prevent the server from cheating.…”

GPGPU based job scheduling simulator for hybrid high-performance computing systems

“…This paper is based on our previous work related to the proposal of models for parallel tasks in workflow [13] and design of algorithms to support grid or elastic cluster scheduling [9,14,19,20,21]. We have experiences with the simulators GridSim, CloudSim, and systems Moab or Torque which are described in [1,4,5,8].…”