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Title |
A Novel Approach for Enhancement of Scalability and Dependency Elimination in Legacy Monolithic Systems by Innovating Metrics Based Clustering |
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Author |
Abdul Razzaq and Muhammad Waseem |
| Citation |
Vol. 25 No. 12 pp. 51-66 |
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Abstract |
Scalability is one of the concerns highlighted in recent literature and is directly related to issues that are encountered in state-of-the-art technology. Architecture and system application’s scalability is also an emerging challenge as system applications cannot be scaled up towards high-level dependencies of components. Similarly, with the current methodologies, one is unable to decompose the tightly coupled systems and scale them accordingly. This research work focuses on lightweight independent component-based system applications scalability enhancement. This study is addressing the tightly coupled concerns and issues in the context of system scalability. This effort contributes to research knowledge enhancement by proposing a new model to identify the system’s components that are dependent and independent exclusively. The proposed solution aims to remove the dependency on components of the system under investigation. The research presents the validation proofs using experimental data presented results clearly show the effectiveness of the proposed over current established literature. The proposed solution guides the developer and system architect to effectively identify the dependent and independent components. This research effort also establishes a precise method for removing the dependency of dependent components and increases the scalability of the resulting application. |
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Keywords |
Monolithic Architecture, Systems Components, Traditional Application Development, Dependency, Scalability of Legacy Systems |
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