Flexible Batch Job Scheduling in Virtualization
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Solution Overview
Problem
In large-scale data centers, the simultaneous scheduling of batch jobs at the same time leads to resource contention and performance issues due to inadvertent timing coincidences, resulting in spikes in resource utilization and wastage of resources.
Innovation Solution
A centralized job scheduling service that provides programmatic interfaces for clients to indicate flexible scheduling ranges, allowing the service to distribute batch job executions temporally and manage job start times with finer granularity, reducing overlap and resource contention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If batch jobs are scheduled at the same time using traditional scheduling utilities, then ease of operation is improved, but resource contention increases and system performance deteriorates
Solution Approach 1:
A centralized scheduling service acts as an intermediary between multiple scheduling utilities and the underlying batch job executions. This service receives scheduling requests from various utilities, consolidates them, and coordinates execution times to prevent resource contention while maintaining ease of operation for individual users.
Solution Approach 2:
Multiple independent scheduling utilities are merged into a unified centralized scheduling system. This consolidation allows the system to view and manage all batch jobs globally, distributing them across different time slots to avoid simultaneous executions and resource bottlenecks.
2Reliability
If batch jobs are distributed temporally with finer granularity, then resource contention is reduced and system performance improves, but device complexity increases
Solution Approach 1:
The scheduling system segments batch jobs into fine-grained time slots and distributes them across multiple execution windows. This segmentation enables precise control over job execution timing, reducing resource contention while maintaining manageable system complexity through structured organization.
Data Source
AI summary
Methods and apparatus for flexible batch job scheduling in virtualization environments are disclosed. A descriptor for a batch job requested by a client is received at a job scheduling service. The descriptor comprises an indication of a time range during which a job iteration may be performed. A target time for executing the iteration is determined based on an analysis of a plurality of received descriptors. An indication of the target time at which the iteration is to be scheduled is provided to a selected execution platform.