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
PTP Approach in Network Security for Misbehaviour Detection
A PTP approach in network security for misbehaviour detection system present a method for detecting malicious misbehaviour activity within networks. Along with the detection, it also blocks the malicious system within t...
Hierarchical Energy Efficient Routing Protocols in Wireless Sensor Networks: Survey
Wireless sensor networks have small nodes deployed which have small batteries used for operations which consumes or dissipates more battery. As a solution for this energy efficient routing is best optimal way. An energy...
Assessment of Heavy Metals Levels in Some Commonly Consumed Species of Prawns in Southwestern Nigeria
Three different kinds of prawns (Macrobrachium Felicium (MF), Macrobrachium macrobrachium (MM) and Demoscaris Trispinose (DT)) were collected from Ilaje (water side) area of Ondo State, Nigeria. The concentrations of he...
Emission and Performance Characteristics of Diesel Engine Using Mamey Sapote Biodiesel as Alternate Fuel
In the present study an experimental investigation was carried out with Mamey Sapote oil as an alternative fuel in a compression ignition engine. The problems associated with fruit seed oil are high viscosity, low volat...
slugA novel Architecture for DOA estimation of signals to track target source positions
MUSIC is traditionally considered better than other algorithms for DOAs. With the increasing demand of near perfect target localisation, and less interference at higher noise regions, coupled with ability to differentia...