Load Balancing in Cloud Complex Systems using Adaptive Fuzzy Neural Systems

Complex fuzzy linear systems

An Adaptive Soft Handover Scheme Using Fuzzy Load Balancing for WCDMA Systems

In cellular systems, user distribution variations can cause load imbalance between cells. Embedding a load balancing strategy within the handover scheme means that ensuing traffic congestion can be alleviated by dynamically reallocating load between neighbouring cells. An adaptive soft handover scheme for multimedia cellular communication systems is proposed in this paper, that considers both t...

Load Balancing in Distributed Systems for Cloud Computing Environment

T h e load balancing in the cloud architecture is a important performance for the cloud environment. The advanced and prior load balancing will provided tremendous advantages to the cloud users. In case of a client server architecture still the architecture need some improvements. The improvements basically need the query based wireless sensor networks. The main objective of our project is to d...

Short-Term Load Forecasting in Power Systems Using Adaptive Fuzzy Critic Based Neural Network

Load forecasting constitutes an important tool for efficient planning and operation of power systems and its significance has been intensifying particularly, because of the recent movement towards open energy markets and the need to assure high standards on reliability. Accurate load forecasting is of great importance for power system operation. It is the basis of economic dispatch, hydrotherma...

complex fuzzy linear systems