Asynchronous API Dependency Management via Preliminary Action
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Solution Overview
Problem
Current API systems for interacting with computing services, such as data storage and virtual machine management, face inefficiencies in handling asynchronous operations and dependencies, leading to potential bottlenecks and increased complexity in managing job statuses and notifications.
Innovation Solution
The implementation of asynchronous API calls with dependency management, allowing clients to send multiple dependent API calls without waiting for previous calls to complete, and using callbacks for notification of job statuses, along with advanced features like job tags for automated processing and customizable notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If synchronous API calls are used to ensure proper sequencing and dependency handling, then reliability is improved, but productivity deteriorates due to blocking waiting for each call to complete
Solution Approach 1:
The system performs preliminary actions by sending all dependent API calls in advance without waiting for their completion. The client computer transmits multiple API calls to the server computer before any of them are processed, allowing the server to receive and queue all calls upfront. This preliminary transmission enables subsequent concurrent processing while maintaining dependency relationships through the server's call tracking mechanism.
Solution Approach 2:
The system transitions from static synchronous execution to dynamic concurrent processing. The server computer dynamically manages multiple API calls by tracking their dependencies and executing them in the proper sequence without blocking the client. This dynamic approach allows the system to adapt to varying call completion times while maintaining reliability through dependency-aware scheduling.
2Productivity
If asynchronous API calls are used to improve productivity and reduce waiting times, then processing speed is improved, but reliability deteriorates due to difficulty in managing job statuses and dependencies
Solution Approach 1:
The system implements feedback mechanisms through callback functions that notify the client computer of job completion statuses. When the server finishes processing an API call, it sends a notification back to the client, providing real-time feedback on processing status. This feedback loop maintains reliability by keeping the client informed of dependency resolution without requiring the client to continuously poll for status updates.
Solution Approach 2:
The server computer acts as an intermediary that manages the complexity of asynchronous dependency tracking. Instead of requiring the client to track multiple job statuses, the server maintains internal tracking of all received API calls and their dependencies, then provides simplified feedback to the client. This intermediary role shields the client from the complexity of asynchronous management while maintaining productivity benefits.
3Productivity
If multiple dependent API calls are sent concurrently to improve productivity, then processing efficiency is improved, but device complexity increases due to need for tracking and managing multiple jobs
Solution Approach 1:
The system merges multiple API call tracking functions into a unified server-side management system. Instead of requiring separate tracking mechanisms for each API call, the server implements a consolidated approach that handles multiple calls and their dependencies through a single coordinated process. This merging reduces the complexity burden on the client while enabling concurrent processing of multiple dependent calls.
Data Source
AI summary
Techniques are disclosed for a client-and-server architecture where the client makes asynchronous API calls to the client. Where the client makes multiple asynchronous API calls, and where these API calls have dependencies (i.e., a result of one call is used as a parameter in a second call), the client may send the server these multiple asynchronous API calls before execution of a call has completed. The server may then execute these multiple asynchronous API calls, using a result generated from one call as a parameter to another call.