Special Purpose Virtual Machines for Parallel Job Execution
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Solution Overview
Problem
Existing systems lack efficient methods for executing complex jobs in a distributed manner, leading to suboptimal performance, security isolation, and increased costs due to inefficient hardware utilization.
Innovation Solution
The use of special purpose virtual machines (VMs) to receive job requests, select parent VMs, instantiate child VMs, partition tasks, and execute them in parallel, enhancing performance and security through distributed processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If complex jobs are executed using traditional single-system methods, then system simplicity is maintained, but performance and execution efficiency deteriorate
Solution Approach 1:
The patent segments complex jobs into multiple independent tasks that can be executed in parallel across multiple virtual machines. Each task is assigned to a separate VM instance, enabling concurrent processing while maintaining system manageability through modular task-VM mapping.
Solution Approach 2:
The patent transitions from single-system sequential execution to multi-VM parallel execution by adding the dimension of virtualization. Multiple VMs run simultaneously on physical hardware, creating a parallel processing dimension that大幅提升 execution performance without proportionally increasing physical system complexity.
2Reliability
If multiple virtual machines are used for parallel processing, then performance and security isolation are improved, but device complexity increases
Solution Approach 1:
The patent introduces a job execution system as an intermediary layer between the user and the virtual machines. This intermediary automatically handles VM selection, task partitioning, and execution coordination, reducing the management burden on users while maintaining the security and performance benefits of multiple VMs.
Solution Approach 2:
The system implements self-service capabilities where the job execution system automatically selects appropriate parent VMs, instantiates child VMs as needed, and manages their lifecycle. This automation reduces manual intervention and simplifies operations while maintaining strong security isolation between VMs.
3Productivity
If traditional hardware utilization methods are used, then system simplicity is maintained, but capital and operating costs increase due to inefficient resource usage
Solution Approach 1:
The patent enables single physical hardware to serve multiple functions by running multiple virtual machines simultaneously. Each VM can execute different tasks or job types, allowing the same hardware resources to be universally utilized across multiple workloads, thereby improving overall hardware utilization efficiency and reducing the need for additional physical hardware.
Data Source
AI summary
Systems and techniques are described for using virtual machines to write parallel and distributed applications. One of the techniques includes receiving a job request, wherein the job request specifies a first job to be performed by a plurality of a special purpose virtual machines, wherein the first job includes a plurality of tasks; selecting a parent special purpose virtual machine from a plurality of parent special purpose virtual machines to perform the first job; instantiating a plurality of child special purpose virtual machines from the selected parent special purpose virtual machine; partitioning the plurality of tasks among the plurality of child special purpose virtual machines by assigning one or more of the plurality of tasks to each of the child special purpose virtual machines; and performing the first job by causing each of the child special purpose virtual machines to execute the tasks assigned to the child special purpose virtual machine.