Tagged articles

DAG Scheduling

6 articles · Page 1 of 1

Sep 11, 2026 · Artificial Intelligence

Graph Engineering Restructures Agent Systems: From Harness to Ontology

This article reviews a 2026 paper on Graph Engineering for LLM agents, detailing the shift from individual agent intelligence to system intelligence via explicit task DAGs, runtime state management with checkpoints and replay, multi-agent coordination through capability modeling, and ontology engineering for shared semantics.

Agent CoordinationDAG SchedulingGraph Engineering

0 likes · 20 min read

Graph Engineering Restructures Agent Systems: From Harness to Ontology

DataFunTalk

Sep 9, 2026 · Artificial Intelligence

Graph Engineering Restructures Agent Systems: From Harness to Ontology

A 2026 survey paper introduces Graph Engineering as the next phase for LLM agents, shifting focus from individual model capabilities to system-level organization via explicit task DAGs, runtime state management with provenance and recovery, capability-based agent coordination, and a graph-native control plane that treats tasks, agents, and state as first-class system objects.

Agent CoordinationDAG SchedulingGraph Engineering

0 likes · 22 min read

DataFunTalk

Sep 7, 2026 · Artificial Intelligence

Graph Engineering Rebuilds Agent Systems: From Harness to System Intelligence

A 2026 survey paper introduces Graph Engineering as the system layer that organizes LLM agents into reliable multi-agent workflows through explicit DAGs, runtime state management, fault tolerance, and a control plane, shifting focus from individual agent capabilities to system-level engineering.

Agent CoordinationDAG SchedulingGraph Engineering

0 likes · 21 min read

Graph Engineering Rebuilds Agent Systems: From Harness to System Intelligence

JD Cloud Developers

Jul 24, 2024 · Operations

How JD.com’s Buffalo Scheduler Achieves High‑Performance, Scalable DAG Orchestration

Buffalo, JD.com’s in‑house distributed DAG scheduler, tackles massive task volumes and complex dependencies through a dual‑layer entity model, instance‑based execution, tiered scheduling, high‑availability architecture, event‑driven processing, in‑memory and cold‑hot data separation, delivering scalable, low‑latency ETL orchestration.

DAG SchedulingETL orchestrationdistributed systems

0 likes · 12 min read

How JD.com’s Buffalo Scheduler Achieves High‑Performance, Scalable DAG Orchestration

DataFunTalk

Jul 23, 2023 · Backend Development

Rearchitecting the Advertising AB Testing Platform: Service Decomposition, Data Modeling, DAG Scheduling, and DDD Practices

The article describes how Volcano Engine's DataTester team refactored the advertising AB testing platform by splitting services, redesigning the data model with MySQL and ClickHouse, introducing DAG‑based scheduling and a time‑wheel algorithm, and applying domain‑driven design and rigorous unit testing to improve stability, scalability, and maintainability.

AB TestingDAG SchedulingData Pipeline

0 likes · 16 min read

Rearchitecting the Advertising AB Testing Platform: Service Decomposition, Data Modeling, DAG Scheduling, and DDD Practices

Meituan Technology Team

Mar 3, 2022 · Backend Development

Meituan Waimai Advertising Engine Platform Engineering Practice – Part 1

Meituan Waimai’s advertising engine team built a platformized solution that standardizes business capabilities, data handling, and development workflow through reusable Action/Stage units, a unified context container, and a robust scheduling engine, achieving 28% faster development, over 65% Action reuse, and improved quality and stability.

Advertising PlatformDAG Schedulingbackend engineering

0 likes · 38 min read

Meituan Waimai Advertising Engine Platform Engineering Practice – Part 1