SMS Processing Cluster Architecture | Scalable Load Management

Software Developer Enterprise Java

June 2012 - June 2012

0 months

full-time

Project

Hamburg

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Overview

As Software Developer Enterprise Java at dtms, I designed and estimated a comprehensive SMS processing cluster architecture to handle enterprise-scale request spikes and traffic peaks. This scalable load management solution utilized In-Memory Data Grid technology and BigData processing capabilities to ensure optimal performance during high-demand periods.

The cluster architecture design incorporated GlassFish Server for enterprise-grade application hosting, NoSQL integration for flexible data handling, and advanced load balancing mechanisms. The solution provided robust capacity planning and effort estimation for implementing scalable SMS processing infrastructure that could dynamically handle varying traffic loads and maintain consistent performance.

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Activities

Cluster Architecture Design: Scalable SMS processing cluster, load balancing, peak traffic management
Capacity Planning: Request spike handling, traffic analysis, performance estimation
Technology Evaluation: In-Memory Data Grid, BigData processing, NoSQL integration assessment
Enterprise Integration: GlassFish Server deployment, JPA/Hibernate persistence, Google Guice dependency injection
Effort Estimation: Project planning, resource allocation, implementation timeline development

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Methodology

Architecture-First Design: Scalable cluster design, load balancing strategies, peak traffic handling
Technology Assessment: In-Memory Data Grid evaluation, BigData processing capabilities, NoSQL integration
Capacity Planning: Request spike analysis, traffic pattern evaluation, performance optimization
Enterprise Integration: GlassFish Server, JPA/Hibernate, Google Guice, MySQL database integration