Intermediary Server for Client-Side Service Loading Control
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Solution Overview
Problem
The integration of client-side services into web applications poses challenges in monitoring and controlling their operations, particularly when anomalies occur, as their code operates outside the server's control, affecting service level agreements, compliance, and performance.
Innovation Solution
An intermediary system is introduced between client devices and servers to collect metadata, detect anomalies, and control service operations by delaying, removing, or modifying services, using a metadata processor to identify and mitigate issues across multiple client devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If client-side services are integrated into web applications, then functionality and user experience are improved, but monitoring and control capability deteriorates
Solution Approach 1:
The patent introduces a server as an intermediary between client devices and third-party services. This server receives requests from client devices, forwards them to services, and monitors responses. The intermediary enables control and monitoring of services that would otherwise operate independently on client devices, resolving the contradiction by maintaining functionality while restoring reliability through centralized oversight.
2Ease of operation
If services operate independently on client devices, then ease of operation is improved, but service level agreement compliance deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the server receives metadata from client devices about service operations, analyzes this data for anomalies, and sends control instructions back to client devices. This feedback loop enables the server to enforce service level agreements while allowing services to operate independently on client devices, resolving the contradiction between operational ease and compliance.
3Reliability
If anomaly detection is implemented for all services, then reliability is improved, but system complexity increases
Solution Approach 1:
The patent implements anomaly detection selectively rather than universally. The server receives metadata from client devices and detects anomalies based on specific criteria such as service behavior patterns, response times, and error rates. By applying anomaly detection only where needed and using rule-based approaches, the system achieves reliable monitoring without requiring complex AI/ML models across the entire system, thus resolving the contradiction between reliability and complexity.
Data Source
AI summary
This disclosure is directed to methods and systems for managing client-side services. An intermediary may receive from an agent incorporated into a web application or client-side application and executing on the client device, a request for a configuration to manage loading of services from the at least one server onto the web application or client-side application. The intermediary can determine an expected temporal pattern of use for at least some of the services at the client device. The intermediary can generate the configuration. The configuration can specify for each of the services, an expected amount of bandwidth to be utilized for loading the corresponding service from the at least one server onto the web application or client-side application, and a loading priority according to the expected temporal pattern of use. The intermediary can send the configuration to the agent.