Enhancement of Dynamic Load Balancing Using Particle Swarm Algorithm in Cloud Environment
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 4
Abstract
Abstract: Dynamic load balancing with decentralized load balancer using PSO technique: Cloud consists of multiple resources and various clients request to the cloud for allocation of shared resources. Each request will be allotted to the virtual machines. In different situation different machines get different load. So to balance the load amongst different virtual machines decentralized load balancer is enhanced using particle swarm algorithm. The main objective is reducing the energy and increasing the throughput in comparison to centralized and simple decentralized load balancer using particle swarm optimization.
Authors and Affiliations
Ginni Bansal , Amanpreet Kaur
Implementing High Performance Retrieval Process by Max-Score Ranking
This paper presents a comparison report of two different processes of retrieving a keyword or data’s from a given database or from a multiple databases. The process1 known as Extended Boolean Retrieval (EBR)model...
Pose Estimation in AVI from Unknown Correspondences Using Genetic Algorithm
Abstract: In this paper we propose a model based approach to determine correspondences and pose of objects in automated visual inspection applications. The method does not consider correspondence and pose estimation prob...
Robot Car for Exploring Dangerous environments controlled by Bluetooth
Car controlling one of the projects that get a lot of attention in this days. There are many challenges generated during implementation of system especially when the car connected with number of sensors and that mean the...
Texture Analysis As An Aid In CAD And Computational Logic
Abstract: The thought to utilize composition examination in restorative imaging has been considered followingthe mid-1970s. Then again, the energizing advancement of both surface investigation calculations and PCinnovati...
An Effective Solution to Adequate and Operative Duplicate Detection in Stratified Data
Abstract: Data Mining is considered as a nontrival extraction of implicit, previously unknown and potentially usefull information from data. Although there is a long line of work on identifying duplicates in relati...