Cloud Desktop Administration System for Enterprise Resource Management
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Solution Overview
Problem
Managing and monitoring computer hardware and software systems in an enterprise setting is complex due to the need for provisioning computing resources, tracking user behavior, and ensuring compliance with policies and security threats.
Innovation Solution
The implementation of a cloud desktop-as-a-service administration system, which includes modules for remote monitoring and management, user behavior analytics, analytics-as-a-service, insider threat prevention and monitoring, and project tracking, to provide real-time visibility and control over computing resources and user activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If computing resources are provisioned at physical locations, then hardware availability is ensured, but accessibility and flexibility are limited
Solution Approach 1:
The patent transitions computing resources from physical space to virtual space through cloud-based virtualization. Users can access computing resources remotely over networks, adding the dimension of network accessibility. The system provisions virtual computing environments that can be deployed to any location with network connectivity, resolving the contradiction between physical availability and remote accessibility.
2Area of stationary object
If users are spread out over large distances, then geographic coverage is expanded, but tracking and monitoring difficulty increases
Solution Approach 1:
The patent implements comprehensive monitoring and tracking systems that continuously collect user activity data, device status information, and location data. This feedback mechanism allows administrators to monitor distributed users in real-time, maintaining visibility despite geographic dispersion. The system processes and analyzes this feedback data to provide actionable insights into user productivity and system status.
3Reliability
If network administrators monitor all users' systems, then security and compliance are improved, but system complexity and resource consumption increase
Solution Approach 1:
The patent implements selective monitoring that focuses on critical security events, policy violations, and anomalous behaviors rather than attempting to monitor all user activities comprehensively. The system uses analytics to identify and prioritize significant events, applying monitoring resources efficiently to maintain security and compliance without the overhead of exhaustive surveillance of all system operations.
4Adaptability or versatility
If computing resources are virtualized and distributed, then accessibility and flexibility are improved, but tracking and monitoring user behavior becomes more difficult
Solution Approach 1:
The patent segments user behavior tracking into multiple distinct data categories including activity logs, device information, location data, and security events. Each segment is collected and analyzed separately, then integrated to provide comprehensive user behavior insights. This segmentation approach maintains tracking accuracy in virtualized environments by capturing behavior data at multiple points in the distributed system architecture.
Data Source
AI summary
Systems and methods for an enterprise computing platform may include a server that may include a desktop-as-a-service module, a user behavior analytics module, a remote monitoring and management module, an analytics-as-a-service module, an insider threat prevention and monitoring module, and a project tracker module. The server or modules may provide remote desktop sessions in an efficient and convenient manner, may analyze user behavior and automatically execute corrective actions in response to rules violations, and may monitor and manage multiple computer systems and computing sessions as to their statuses, versions, authentication, or compliance.