Location

Room 1909

Session Format

Paper Presentation

Abstract

The complexity of network systems has and continues to rapidly transformation as high data usage continues to increase. The average person consumes large amounts of data, either by video, digital news and weather updates or social media blogs. In recent years, collaborative research between information technology and engineering is quickly expanding. Cloud computing offers many benefits in productivity and efficiently; however, there are major security issues to consider. Research in this field has become a primary concern in academia and the corporate world. There are several key factors which are responsible for the performance of the cloud system; one of which is load balancing. A load balancer is responsible for handling data request made by users and accessing the correct path to direct the request. Load balancing can be done in various aspects like: memory allocation, Bandwidth management, storage management etc. in one-word resource utilization. As this new generation of devices and data continues to grow, the currently restricted amount of bandwidth will see more problems. It is possible through a smart load balancer to more efficiently allocate resources, providing better availability; without this load balancer, new devices cannot access the network at the same time. In this paper, a brief overview of load balancing techniques is explored with the goal of generating a new method to dynamically allocated resource within a network. This smart load balancer algorithm should provide emphasis on fairness and quick request response. It is expected that this research will generate a new method of allocating very large data centers handling complex data. The algorithm presented is expected to be used in multiple disciplines including information technology and electrical engineering. This research aims to launch a private cloud computing cluster to be hosted at a University level, providing better, more secure service for the populous.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Presentation Type and Release Option

Presentation (Open Access)

Start Date

4-14-2017 9:00 AM

End Date

4-14-2017 10:00 AM

Share

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Apr 14th, 9:00 AM Apr 14th, 10:00 AM

Dynamic Resource Allocation Techniques Using Smart Load Balancer Algorithm

Room 1909

The complexity of network systems has and continues to rapidly transformation as high data usage continues to increase. The average person consumes large amounts of data, either by video, digital news and weather updates or social media blogs. In recent years, collaborative research between information technology and engineering is quickly expanding. Cloud computing offers many benefits in productivity and efficiently; however, there are major security issues to consider. Research in this field has become a primary concern in academia and the corporate world. There are several key factors which are responsible for the performance of the cloud system; one of which is load balancing. A load balancer is responsible for handling data request made by users and accessing the correct path to direct the request. Load balancing can be done in various aspects like: memory allocation, Bandwidth management, storage management etc. in one-word resource utilization. As this new generation of devices and data continues to grow, the currently restricted amount of bandwidth will see more problems. It is possible through a smart load balancer to more efficiently allocate resources, providing better availability; without this load balancer, new devices cannot access the network at the same time. In this paper, a brief overview of load balancing techniques is explored with the goal of generating a new method to dynamically allocated resource within a network. This smart load balancer algorithm should provide emphasis on fairness and quick request response. It is expected that this research will generate a new method of allocating very large data centers handling complex data. The algorithm presented is expected to be used in multiple disciplines including information technology and electrical engineering. This research aims to launch a private cloud computing cluster to be hosted at a University level, providing better, more secure service for the populous.