Transmission Control System for Web Access Volume Management
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Solution Overview
Problem
Existing methods for controlling access to end servers struggle to accurately determine and manage server capacity, leading to potential overloads and congestion, especially during peak events like interactive TV programs, as they require sample access monitoring and subsequent suspension of non-sample access, which is inefficient and may result in server overload.
Innovation Solution
A transmission control system that detects and counts user terminals accessing specific Web pages with hyperlinks to the end server, allowing for proactive estimation and control of access requests to prevent overload, by using a monitoring server to track user transitions and a control server to dynamically manage access based on predetermined capacity limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sample monitoring and dynamic suspension/release of access is used, then access volume can be controlled near target value, but access by non-sample must be suspended until control information is received
Solution Approach 1:
The patent applies preliminary action by predicting the access volume of non-sample users before actual access occurs. The prediction unit estimates future access patterns based on historical data and current trends, allowing the system to proactively adjust suspension/release timing rather than waiting for sample monitoring results. This reduces the suspension time for non-sample users while maintaining accurate access volume control.
2Reliability
If end server is operated under conditions lower than capacity limit, then server overload is avoided, but system capacity is underutilized
Solution Approach 1:
The patent implements dynamics by dynamically adjusting the access suspension and release timing based on real-time server status and predicted access patterns. Instead of operating at a fixed capacity level, the system continuously adapts its control parameters to match actual server capacity and load conditions, allowing the server to operate closer to its true capacity limit while preventing overload through adaptive control.
Solution Approach 2:
The system uses feedback from the server status monitoring and access volume measurement to continuously adjust control decisions. The prediction unit and control unit form a closed-loop system that receives feedback on actual server performance and uses this information to optimize future access control actions, balancing reliability and productivity.
3Stability of the object's composition
If access path server calculates access timing based on server capacity and prior received volume, then access sequence is kept sequential, but accurate capacity and surplus are difficult to determine
Solution Approach 1:
The patent applies preliminary action by predicting future access volumes before they occur, allowing the system to calculate access timing in advance with greater accuracy. The prediction unit uses historical data and trend analysis to estimate future access patterns, which compensates for the difficulty in determining exact server capacity and surplus, maintaining sequential access order while improving timing precision.
Data Source
AI summary
A control server 4, receives the number of user terminals U which have transited to the individual Web pages from a monitoring server 3 in Step S41. In Step S42, based on the received number of transitions U of the individual Web pages, application of control is decided by the control server 4. Here, based on the assumption that the number of transitions Uc to a Web page C including a transaction access or hyper link to the end server 2 accurately represents the number of executed transactions, the number of transitions Uc to Web page C is compared with an upper limit value Cmax. When Uc<Cmax, the process proceeds to Step S43 and a control information is sent from the control server 4 to the user terminals 1 to cancel the application of control.