Energy-Aware Load Balancing and Application Scaling For the Cloud Ecosystem
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 1
Abstract
To introduce an energy-aware operation model used for load balancing and application scaling on a cloud. The basic philosophy of our approach is defining an energy-optimal operation regime and attempting to maximize the number of servers operating in this regime. Idle and lightly-loaded servers are switched to one of the sleep states to save energy. The load balancing and scaling algorithms also exploit some of the most desirable features of server consolidation mechanisms.
Authors and Affiliations
Mr. Rakesh Prakash Kumawat, Prof. Ms. Megha Singh
A Hybrid Approach for Emotion Extraction
With the growth of internet the amount of content that gets produced everyday has increased significantly. Many different types of textual/image documents are produced on varying types of platforms such as social media,...
FPGA Implementation of Adaptive Weight Calculation Using QRD - RLS Algorithm
Adaptive weight calculation (AWC) is required in many communication applications including adaptive beamforming, equalization, predistortion and multiple-input multiple-output (MIMO) systems. These applications involve...
Implementation of Virtual Synchronous Machine (VSM) Method on Inverters
Virtual Synchronous Machine (VSM) [1] is a control algorithm to make an inverter operated as a conventional electromechanical synchronous machine. It is a promising solution to overcome the problems of the grid stabilit...
slugDesign Formulation and Optimum Load Carrying Capacity of Hydrodynamic Journal Bearing By using Genetic Algorithm
The ever increasing demand of lower initial costs for bearing, to withstand competition, has prompted engineers to apply optimization methods in bearing design. The optimization scheme that optimizes load carrying capac...
User Service Rating Prediction System by Exploring Social Users Rating Behavior
Nowadays many people are sharing what they are doing in social networking sites with their friends and their followers and there are vast amount of reviews, ratings, descriptions about a product or local service. In cas...