Trident: Adaptive Scheduling for Heterogeneous Multimodal Data Pipelines
This presentation explores Trident, a novel adaptive scheduling framework designed to optimize multimodal data pipelines on fixed-resource clusters. The talk examines how Trident addresses the inefficiencies of traditional schedulers through a three-layer architecture that combines Gaussian Process regression for capacity estimation, online clustering for workload adaptation, and mixed-integer linear programming for optimal resource allocation. We'll see how this integrated approach achieves up to 2x throughput improvements in real-world document and video processing pipelines.Script
Training modern AI systems requires processing massive amounts of multimodal data, but the pipelines that prepare this data are plagued by memory spikes, unpredictable workloads, and resource bottlenecks that traditional schedulers cannot handle.
The authors identified that existing schedulers rely on threshold-based autoscaling and assume synchronous operations, fundamentally mismatching the asynchronous, heterogeneous nature of real multimodal pipelines.
Trident introduces a three-layer architecture: the observation layer uses Gaussian Process regression to predict throughput despite noisy measurements, the adaptation layer detects workload regime shifts through online clustering, and the scheduling layer solves a mixed-integer linear program to optimize parallelism and placement across cluster resources.
The framework employs memory-constrained Bayesian optimization to tune operator configurations, navigating the tradeoff between maximizing throughput and staying within memory limits, while the scheduler explicitly accounts for cold-start costs when transitioning between configurations.
In experiments on production-scale document and video pipelines, Trident achieved throughput improvements of 2.01x and 1.88x respectively compared to static baselines, demonstrating that integrated modeling and adaptive scheduling unlock substantial performance gains that existing systems leave on the table.
While Trident operates on fixed cluster resources and leaves elastic scaling as future work, its unified approach to estimation, adaptation, and scheduling establishes a new foundation for efficient multimodal data processing. Explore how adaptive scheduling could transform your own pipelines at EmergentMind.com, where you can dive deeper into this research and create videos on the topics that matter to you.
