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DYNAMIC RESOURCE ALLOCATION SCHEME FOR ENTERPRISE-WIDE NETWORK

CHAPTER ONE

INTRODUCTION

Background of the Study

In modern enterprise networks, efficient resource allocation is crucial for optimizing performance and ensuring reliability. Traditional static allocation methods often fail to adapt to dynamic network conditions and varying traffic demands. Hence, there is a growing need for dynamic resource allocation schemes that can intelligently distribute resources across the network in real-time.

Enterprise wide network also know as cooperate networks are private communication networks owned and run by enterprises. This kind of network provide communication platform for geographically separated site (offices) of an organization. The different offices of an enterprise could be within a locality, a state, a nation or distributed round all over the globe. An enterprise private network could also be seen as acomputer network built by a business to interconnect its various company sites (such as production sites, offices and shops) in order to share computer resources.’ Also and enterprise wide area network (WAN) is a corporate networkthat connects geographically dispersed users areas that could be anywhere in the world. Enterprise WAN links LANs in multiple locations. The enterprise in question often owns and manages the networking equipment within the LANs. However, the LANs are generally connected by a service provider through leased trunks thus providing connectivity to the geographically dispersed sites [1, 2].

Briefly we present an account of the key features of the current communication environment, namely the characterization of the communication services to be provided as well as the features and properties of the underlying communication network that is supposed to support the previous services.

The fundamental purpose of a communication system is to exchange information between two or more devices. Telecommunication has witnessed unprecedented and explosive growth overthe years in the area of services delivered and technology. The key parameters of telecommunication service cannot be easily identified, owing to the very different nature of the various services that can be envisioned. This is basically the reason for the rapidly change in the technological environment. In fact, a person living in the sixties, who faced the only provision of the basic telephone service and the first low-speed data services, could rather easily classify the basic parameters of these two services.

Statement of the Problem

The challenge lies in developing a robust dynamic resource allocation scheme that can effectively manage enterprise-wide network resources to meet varying demands and ensure optimal performance.

Objectives of the Study

The main objective of this study is to determine the effectiveness of a dynamic resource allocation scheme for enterprise-wide networks. Specific objectives include:

i. To evaluate the impact of dynamic resource allocation on network performance metrics such as latency and throughput.

ii. To determine the scalability of the proposed scheme across different network sizes and configurations.

iii. To find out the cost-effectiveness of implementing dynamic resource allocation compared to traditional static allocation methods.

Research Questions

i. What is the impact of dynamic resource allocation on network latency and throughput?

ii. What is the scalability of the dynamic resource allocation scheme across different network sizes and configurations?

iii. How does the cost-effectiveness of dynamic resource allocation compare to traditional static allocation methods?

Research Hypotheses

Hypothesis I

H0: There is no significant impact of dynamic resource allocation on network latency and throughput.

H1: There is a significant impact of dynamic resource allocation on network latency and throughput.

Hypothesis II

H0: There is no significant difference in scalability between the dynamic resource allocation scheme and traditional static allocation methods.

H2: There is a significant difference in scalability between the dynamic resource allocation scheme and traditional static allocation methods.

Hypothesis III

H0: There is no significant difference in cost-effectiveness between dynamic resource allocation and traditional static allocation methods.

H3: There is a significant difference in cost-effectiveness between dynamic resource allocation and traditional static allocation methods.

Significance of the Study

This study is significant as it contributes to the enhancement of enterprise network management practices by introducing a dynamic resource allocation scheme that can potentially improve network performance, scalability, and cost-effectiveness.

Scope of the Study

The study focuses on evaluating the dynamic resource allocation scheme within the context of enterprise-wide networks. It considers various network sizes and configurations to assess scalability and performance impacts.

Limitations of the Study

Limitations include the complexity of accurately simulating real-world network conditions and the potential variability in results due to specific network architectures and hardware configurations.

Definition of Terms

Dynamic Resource Allocation: A method of distributing network resources based on real-time demands and conditions.

Network Latency: The delay between data transmission and reception.

Throughput: The rate at which data is successfully transmitted through the network.

Scalability: The ability of the system to handle increasing workload or demand by adding resources.

Cost-effectiveness: Efficiency in achieving network performance goals relative to costs incurred.