Flag Based VM Allocation Technique for Load Balancing
Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 5)Publication Date: 2014-05-15
Authors : Hiren Parmar; Tushar Champaneria;
Page : 1133-1136
Keywords : Load Balancing; Adaptive Load; Controller Node; Load Table;
Abstract
The greatest platform for area of computing and research today and which involves term like Virtualization, Distributed Computing, Networking, Software, and Web Services. Cloud Computing includes Scalability, Flexibility, High Availability, Fault Tolerance, Less Overhead for Users, Less Cost for Ownership, On Demand Services, etc. Central to this issues is how to manage Load among multiple virtualized resources and leads to use effective Load Balancing Algorithm. The Load can be defined by CPU(Processor) Load, Memory, and Network Load. So, what is load balancing??? The Answer is ? Distributing the load across various nodes for best resource utilization and best response time and also avoid the situation where some nodes are heavily loaded while other nodes idle. It also ensures that work distribution among all the nodes is exact at any time. In this paper our proposed algorithm is based on frequency base distribution of VM load and according to that we divided total load in to the four parts. If the frequency of the present status is same as the current status the load table will not updated else the load table will change VM status.
Other Latest Articles
- Network Performance Optimization based on AODV Routing in MANET
- Evaluation of the Feasibility of Biogas Production from Leftover Foods of Bahir Dar University Students’ Cafeteria
- Parent’s and Teacher’s Reaction towards Problems Faced by Children with Learning Disabilities
- Students’ Attitudes towards Teachers’ Code-Mixing/Code-Switching to L1 and Its Influence on Their L2 Learning: A Case of Business Students in Sargodha
- Litostratigraphy and Biostratigraphy of Carbonate Deposits in the Southwestern Khorramabad (Southwestern of Iran)
Last modified: 2014-07-02 20:03:53