Improving Load Balancing using Dynamic Algorithms in Cloud Environment
Keywords:
Static and dynamic load balancing, Cloud computing, Task scheduling, algorithm related to dynamic, comparative study using parametersAbstract
Cloud computing is a promising paradigm which provides resources to customers on their request with
minimum cost. Cost effective scheduling and load balancing are major challenges in adopting cloud computation.
Features such as elasticity, scalability, universal access, low entry cost, and flexible billing motivate consumers to
migrate their core businesses to the cloud.
Load Balancing is the one of the most important parts of the current virtual environment. In the case of cloud
computing environments there were various challenges are there in the load balancing techniques like security, any
fault tolerance etc. Efficient load balancing methods avoids under loaded and heavy loaded conditions in data centers.
The goal of this paper is to help in developing a new algorithm after studying almost all available algorithms. When
some VMs are overloaded with several number of tasks, these tasks are migrated to the under loaded VMs of the same
datacenter in order to maintain Quality of Service (QoS).The goal of this paper is to help in developing a new algorithm
after studying almost all available algorithms.
