Chapter One — 1.1 Background to the Study

Edge Computing has become one of the more actively explored innovations in the design of modern job recruitment platforms, promising gains in efficiency and reliability that legacy, largely manual approaches have struggled to deliver.

In practice, however, adoption of edge computing within job recruitment platforms has been uneven, and its actual impact on system scalability is not yet well understood in a rigorous, evaluable way — a gap this study is positioned to address.

1.2 Statement of the Problem

Current job recruitment platforms in many organizations struggle with inadequate system scalability, often relying on manual processes or outdated architectures that were not designed for today's operating environment. Without a structured approach to integrating edge computing, these limitations are likely to persist, exposing organizations to inefficiency, risk, and a poor user experience. This study is motivated by the need to design and evaluate a edge computing-based approach to addressing this problem.

1.3 Objectives of the Study

1. To design and implement a edge computing-based approach to improving system scalability in job recruitment platforms.
2. To evaluate the effectiveness of Edge Computing in enhancing system scalability within job recruitment platforms.
3. To identify the key requirements and constraints relevant to deploying edge computing in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can edge computing be applied to improve system scalability in job recruitment platforms?
2. How effective is Edge Computing at enhancing system scalability within job recruitment platforms?
3. What requirements and constraints are relevant to deploying edge computing in this context?
4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

Beyond its immediate technical contribution, this study offers value to organizations evaluating whether to invest in edge computing for their own job recruitment platforms, and contributes to the broader literature on applied software technology / IT by documenting a concrete implementation and evaluation case.

1.6 Scope of the Study

As a study of this kind, its scope is confined to designing and evaluating a edge computing-based solution for job recruitment platforms, focused specifically on system scalability; broader deployment considerations fall outside this scope.