• Publications
  • Influence
Data Updating and Query in Real-Time Data Warehouse System
TLDR
The issue of data updating is the most important issue facing organizations deploying real-time data warehouse solutions. Expand
  • 38
  • 2
Research on Hybrid ARIMA and Support Vector Machine Model in Short Term Load Forecasting
TLDR
In power system, due to the complexity of the historical load data and the randomness of a lot of uncertain factors influence, the observed historical data showed linear and nonlinear characteristics. Expand
  • 17
  • 1
Short-term Load Forecasting Model Using Fuzzy C Means Based Radial Basis Function Network
  • Youchan Zhu, Y. He
  • Computer Science
  • Sixth International Conference on Intelligent…
  • 16 October 2006
TLDR
This paper presents the application of fuzzy c means based radial basis function (RBF) network model to short term load forecasting problem. Expand
  • 15
  • 1
Research for the virtual machine-oriented cloud resource scheduling algorithm
  • Youchan Zhu, H. Liang
  • Computer Science
  • 6th International Conference on Information…
  • 1 November 2013
TLDR
Ant colony optimization, ACO(Ant Colony Optimization) will be applied to the cloud resource scheduling according to the actual QoS(Quality of Service) parameters requirement of the environment for the cloud computing. Expand
  • 11
A Model of Cloud Computing Resources
  • Youchan Zhu, Y. Wang
  • Computer Science
  • International Conference on Computer Sciences and…
  • 14 December 2013
TLDR
This paper proposes a semi-structured resource description definition combines virtualization technology and resource interdependencies between constructs a cloud heterogeneous computing resource model, while the data center for the integration of hardware and software resources can be more fully utilized. Expand
  • 2
Multi-dimensional Constrained Cloud Computing Task Scheduling Mechanism Based on Genetic Algorithm
TLDR
A new Cloud Computing task scheduling mechanism with multi-dimensional constrained based on Genetic Algorithm was proposed to reduce time to complete tasks and to improve users’ satisfaction by reducing expenses. Expand
  • 5
Grid Dependent Tasks Scheduling Based on Hybrid Adaptive Genetic Algorithm
TLDR
This paper presents a Hybrid Adaptive Genetic Algorithm (HAGA) which can improve the local search ability by adding the adjustment for the specific problem, so it has good global and localsearch ability. Expand
  • 3
Traffic identification and traffic analysis based on support vector machine
TLDR
This paper proposes a traffic classification and identification system based on support vector machine in traffic identification to classify the network traffic. Expand
  • 1
An improved ant colony algorithm for independent tasks scheduling of grid
TLDR
The article introduces an improved ant colony algorithm (IACO) for the grid independent tasks scheduling problem. Expand
  • 6
Research of Grid Resource Discovery Method Based on Adjacency List and Ant Colony Algorithm
TLDR
A hierarchical resource discovery method based on centering resource discovery and distributed resource discovery methods. Expand
  • 2