Cloud Printing Job Queue Management System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current content management systems and cloud computing systems face challenges in efficiently processing and printing content across distributed environments, particularly in managing job processing and service quality in network printing systems.
Innovation Solution
A cloud computing system with an image processing apparatus, a platform system providing a distributed environment, and web services that include a transmission unit, insertion unit, identification unit, selection unit, execution unit, and receiving unit to manage job processing and service quality, ensuring efficient task execution and result handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a cloud computing system processes multiple printing jobs in parallel across distributed servers, then processing productivity increases, but job management complexity and service quality control difficulty increase
Solution Approach 1:
The patent introduces a queue management layer between the printing system and distributed servers. This queue acts as an intermediary that receives printing jobs, manages their processing status, and coordinates execution across multiple servers. The queue system simplifies job management by centralizing control while enabling parallel processing, thus resolving the contradiction between productivity and system complexity.
Solution Approach 2:
The patent divides the printing processing system into independent service units, each capable of handling specific printing tasks. These segmented services can execute jobs in parallel on different servers, improving processing speed while maintaining manageable complexity through modular architecture. Each service unit operates independently but coordinates through the queue system.
2Adaptability or versatility
If the system provides multiple task services for different processing requirements, then service versatility improves, but difficulty in selecting appropriate services increases
Solution Approach 1:
The patent implements a feedback mechanism where the queue management system receives status information from executed services and uses this feedback to determine job completion and coordinate subsequent tasks. This feedback loop enables intelligent service selection and management, reducing the difficulty of choosing appropriate services by providing real-time status awareness and automated decision-making capabilities.
Data Source
AI summary
A cloud computing system includes an input data storage unit, a data input unit, an output data storage unit, and a data extraction unit. When an execution instruction is externally input, the cloud computing system reads data from the input data storage unit and processes the read data. Then, the cloud computing system stores a result of processing of the data on the output data storage unit.