Optimizing Business with Document Centralization Systems
Optimized performance, stability, and eliminated bottlenecks using BQN Platform's AI algorithms
for a large-scale Document Centralization system used by over 3,500 users.
Pain Points (Before)
- • Connection speed delays occurred after building the centralization system for security.
- • Decrease in business productivity due to slow system response times.
- • Increased investment costs and maintenance burden due to unplanned server expansion.
Network Environment
- • Accommodating over 3,500 concurrent users at scale.
- • Core systems located in the DMZ zone behind firewalls.
- • Frequent large file transfers due to the nature of their business.
Applied BQN Platform Optimization Technologies
TCP Optimization & Acceleration
Automated acceleration of TCP traffic
through Plug-N-Play operations.
AI Congestion Control
Artificial Intelligence (AI) based
automated traffic congestion management.
Real-time Traffic Management
Analyzes traffic flows across all network sections
in real-time to prevent latency.
Performance Optimization Based on Data
Results - Speed Increase
Throughput Performance Comparison (Before vs After)
Total Network Increase
+45.7%
DMZ Zone Increase
+58.3%
Network Session Reduction
Reduction of unnecessary sessions and load relief
Reduced sessions by over 460%
Dramatically reduced load on security and network equipment after TCP optimization.
Implementation Results & Effects
Key performance metrics measured after BQN deployment
Total Network Performance
45.7% Improved
DMZ Zone (Doc System) Performance
58.3% Improved
Operational & Cost Benefits
Improved business productivity through enhanced connectivity
and significantly reduced procurement and maintenance budgets by suppressing unplanned server additions.