Multiprocessor System Tool Placement via ALPS Scheduler
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In multiprocessor computer systems, managing and placing system tools such as debuggers and checkpoint/restart tools across hundreds or thousands of processing nodes is complex due to the need for each tool to maintain its own launch, execution, and cleanup mechanisms, which does not scale well and complicates the distribution and termination of these tools.
Innovation Solution
The use of an Application Layer Placement Scheduler (ALPS) system with a tool helper interface to manage the placement, execution, and cleanup of system tools, leveraging the same functionality and information used for application management, allowing system tools to distribute and execute themselves on compute nodes based on application-specific information and control trees.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If system tools maintain their own launch, execution, and cleanup mechanisms on each compute node, then they can independently manage their operation, but the device complexity and difficulty of management increase significantly when scaling to hundreds or thousands of nodes
Solution Approach 1:
The patent merges the system tool's launch, execution, and cleanup mechanisms with the ALPS application placement scheduler. The tool helper interface integrates tool management into the existing application distribution framework, allowing a single centralized system to handle both application and tool deployment across compute nodes without requiring separate management infrastructure.
Solution Approach 2:
The ALPS system with tool helper interface serves multiple functions: it manages both application distribution and system tool deployment, handles launch and cleanup of both applications and tools, and provides a universal interface for managing diverse tools across the compute cluster. This multi-functionality eliminates the need for tool-specific management mechanisms on each node.
2Measurement precision
If system tools are distributed across hundreds or thousands of compute nodes, then they can monitor and debug applications effectively, but the network congestion and resource overhead increase
Solution Approach 1:
The system performs preliminary actions by pre-positioning tool binaries and dependencies on compute nodes during the application deployment phase. The tool helper interface prepares the execution environment in advance, so when tools need to run for monitoring or debugging, they can execute immediately without additional network transfers or setup overhead.
Solution Approach 2:
The tool helper interface acts as an intermediary between the centralized ALPS scheduler and the distributed system tools. It receives tool deployment requests from the scheduler, manages local tool execution on compute nodes, and reports status back to the scheduler, thereby reducing direct communication overhead between individual tools and the central management system.
3Reliability
If each system tool maintains its own cleanup mechanisms on compute nodes, then it can ensure proper resource reclamation, but the difficulty of repair and maintenance increases when tools need to be updated or fixed
Solution Approach 1:
The patent merges the cleanup mechanisms of system tools with the application exit handling in the ALPS scheduler. When an application terminates, the tool helper interface automatically triggers the cleanup of associated system tools on the compute nodes through the same centralized control path used for application management, ensuring resource reclamation without requiring separate tool-specific cleanup infrastructure.
Solution Approach 2:
The ALPS system with tool helper interface provides universal management for both application lifecycle and tool lifecycle. The same scheduler and helper interface that deploy and manage applications also handle tool updates, repairs, and maintenance, allowing centralized control and simplifying the update process for system tools across the entire compute cluster.
Data Source
AI summary
A multiprocessor computer system comprises a plurality of nodes and an application placement module operable to place an application on a selected group of the compute nodes. The application placement module includes a system tool helper operable to manage operation of a system tool on the selected group of the compute nodes, the system tool operable to monitor execution of the application. Managing system tool operation comprises at least one of distributing, executing, and ending the system tool on one or more compute nodes.