Software Defined Networking (SDN) is an emerging paradigm in networking technology that enables innovation on how network systems are managed and designed. SDN plays a huge role in the effort to make computer networks programmable. The emergence of SDN architecture provides us with a new train of novel prospects for solving the prevailing issues in the traditional load balancing network. In this Thesis we develop an application that performs server load balancing in a Software Defined Network. Today’s load balancers are high-priced devices that have limited customizability. In SDN architecture, performing server load balancing does not require these expensive and inflexible devices. A low-cost load balancing solution can be designed, further enhanced with the ability to schedule load not only between servers, but also between paths. This paper presents a novel approach for implementing load-balancing without deployment of dedicated hardware components and solely on the top of an SDN enabled network.Our proposed scheme exploits the server resources and achieves a much better load balancing effect in comparison with the Round Robin and Random schemes. Also, our schemes is cost effective than the traditional schemes, since we reduce the requirements of hardware equipment by the way of software customizing approach.

Abstract

This paper focuses on understanding the concept of MIS, the need for MIS, the advantages of MIS in an organization, the MIS model, decisions and the decision making system and majorly the role of MIS in decision making. It talks about MIS in brief considering the concept of MIS, the MIS model that is used by organizations, how MIS is beneficial, why is there a need of MIS in an organization. It then gives an overview of decisions and the decision making system which is necessary to understand the decision making process. Finally, the major focus of this paper is the role of MIS in decision making of an organization. How decisions are made in an organization using MIS, what challenges are faced by the organization in this process and a few recommendations to curb these challenges. It provides a brief understanding of why MIS improves decision making.