Parallel Command Sequencing for Order-Preserving Data Processing
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Solution Overview
Problem
Existing data processing systems face challenges in ensuring the correct execution sequence of multiple commands with order-preserving requirements, leading to increased latency and poor performance in storage systems.
Innovation Solution
A method and apparatus that involve encapsulating commands with sequence identifiers to indicate their execution order, allowing parallel processing and subsequent sequential execution based on these identifiers, thereby optimizing command execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If commands are executed in parallel without sequence identifiers, then processing speed improves, but execution order cannot be guaranteed
Solution Approach 1:
The command structure is segmented to include a sequence identifier field within each command packet. This segmentation allows the system to maintain parallel processing while preserving execution order information, as each command carries its own sequence tag that enables proper ordering during execution.
Solution Approach 2:
Sequence identifiers act as an intermediary mechanism between parallel command submission and sequential execution requirements. The identifiers mediate the conflict by providing ordering information that allows the execution engine to correctly sequence commands even when received in parallel, thus guaranteeing execution order without sacrificing processing speed.
2Reliability
If commands are executed in sequential order, then execution order is guaranteed, but waiting time increases
Solution Approach 1:
Sequence identifiers are assigned to commands in advance during the command generation phase, before execution begins. This preliminary action enables the execution engine to process multiple commands in parallel and then quickly reorder them based on pre-assigned sequence identifiers, eliminating the need for sequential waiting while ensuring correct execution order.
Solution Approach 2:
The system dynamically processes commands in parallel based on their sequence identifiers rather than following a fixed sequential order. Commands with lower sequence identifiers are executed first, but all commands can be processed concurrently by different execution units, making the system dynamic and adaptive rather than rigidly sequential.
3Reliability
If sequence identifiers are added to all commands, then execution order is preserved, but data structure complexity increases
Solution Approach 1:
Sequence identifiers are added only to specific commands that require order preservation, not uniformly to all commands. This local quality approach minimizes the increase in data structure complexity by applying the sequence identifier field only where necessary, rather than adding it to every command in the system.
Solution Approach 2:
The sequence identifier field serves multiple functions: it provides execution ordering, acts as a command traceability marker, and enables parallel processing coordination. This multi-functionality reduces the need for separate mechanisms, thereby limiting the increase in overall system complexity while achieving reliable execution order preservation.
Data Source
AI summary
In a data processing method, a first device obtains a plurality of first commands. To ensure an execution sequence of the plurality of first commands, the first device performs encapsulation on each first command to obtain a second command. The encapsulation includes adding a sequence identifier for each of target commands in the plurality of first commands that have an order-preserving requirement. The first device sends the plurality of second commands in parallel. The second device receives the plurality of second commands in parallel and performs decapsulation on the second commands to retrieve the first commands with their sequence identifiers. The second device then schedules the plurality of first commands for execution based on their sequence identifiers.