A paper from Yixing Intelligent detailing the Tile‑level Instruction Set Architecture (TISA) dynamic scheduling framework was accepted at ISCA 2026, showing how a new compiler‑hardware co‑design can dramatically improve AI accelerator utilization and outperform static scheduling approaches on major models.
This article compares a rigid sequential multi‑agent pipeline with a flexible blackboard architecture, showing how shared memory and a dynamic controller let specialist AI agents cooperate opportunistically, obey conditional user instructions, and achieve higher efficiency and instruction‑following scores.
This article demonstrates how to replace static @Scheduled annotations with database‑driven Cron expressions in Spring Boot 3, covering task entity design, repository methods, service validation, thread‑pool scheduler configuration, dynamic task registration, testing, and security‑focused optimizations for safe runtime scheduling.
This article explains how to dynamically modify the execution time of SpringBoot scheduled tasks by combining ScheduledTaskRegistrar with ThreadPoolTaskScheduler, decoupling business logic from triggers, and provides complete code examples for adding, updating, and removing tasks at runtime.
The article explains how Baidu Cloud's CHPC platform offers a full‑stack, hybrid‑cloud HPC solution with modern hardware, dynamic scheduling, elastic scaling, and performance tuning, enabling enterprises in life sciences and manufacturing to cut costs, accelerate innovation, and efficiently manage compute workloads.
This article examines the progression of load‑balancing techniques used in JD's advertising online model system, analyzing current challenges, outlining requirements, reviewing static and dynamic strategies, and presenting a multi‑objective, hierarchical approach that improves service availability, resource utilization, and overall system stability.
Learn how to dynamically manage Spring Boot 3.2.5 scheduled tasks by creating a custom @Task annotation, recording task metadata, extending ThreadPoolTaskScheduler to track and control tasks, and implementing start/stop APIs, complete with code examples and practical testing.
Alibaba Cloud's PAI team unveiled Llumnix, a dynamic scheduling framework for large language model serving that dramatically reduces tail latency, speeds high‑priority requests, and cuts costs, earning acceptance at OSDI 2024 and now open‑sourced on GitHub.
This tutorial demonstrates how to create Spring Boot scheduled tasks whose execution intervals can be changed at runtime using either a configurable cron expression or a flexible periodic trigger, complete with code examples and a REST API for updating the schedule.
This guide explains how to create Spring Boot scheduled tasks whose execution intervals can be changed at runtime using configurable cron expressions or periodic triggers, and provides REST endpoints to update the schedule without restarting the application.
Tencent’s shift from VMs to Kubernetes for massive online services faces pod‑size rigidity, heterogeneous node balancing, elastic scaling, and massive cluster‑pool mapping, prompting optimizations such as dynamic CPU compression, custom load‑aware scheduling, collaborative HPA/VPA scaling, dynamic quota migration, unified routing‑sync, and an automated decision‑tree‑driven self‑healing workflow for container‑destruction failures.
This guide shows how to replace static cron‑based scheduling in a Spring Boot application with dynamic, runtime‑adjustable tasks by reading cron expressions from an external file and providing REST endpoints to modify both cron and millisecond intervals.
This tutorial demonstrates how to create Spring Boot scheduled tasks whose execution intervals can be changed at runtime using both CronTrigger and PeriodicTrigger, providing REST endpoints to update the cron expression or timer value dynamically.
This article explains how Open Cluster Management's Placement API selects target clusters for workloads in multi‑cluster Kubernetes environments, covering ManagedClusterSet concepts, Placement spec fields, predicate filtering, prioritizer policies, dynamic scoring, and practical YAML examples that demonstrate weight adjustments and best‑practice scenarios.
This article explains how to implement dynamic creation, deletion, start, and stop of scheduled tasks in a Spring Boot application by customizing the ScheduledTaskRegistrar and using a lightweight thread‑pool scheduler, providing full code examples and a complete runnable solution.
This article explains how to overcome Spring Boot's static @Scheduled limitation by customizing the task scheduler, creating wrapper classes and a registrar to dynamically add, remove, start, and stop cron‑based jobs, with full code examples and a database‑driven design.
This article explains how to integrate the Quartz scheduler into a Spring Boot application to create, update, delete, pause, and resume dynamic scheduled jobs without restarting the service, covering Quartz fundamentals, storage options, configuration steps, job implementation, and deployment considerations.
Alibaba’s Fuxi DAG 2.0 redesign separates logical and physical graphs, introduces dynamic scheduling, unified offline and near‑real‑time execution, and a flexible bubble mode, enabling massive big‑data jobs to run up to five times faster while dramatically reducing resource waste.
This article shares Alibaba Cloud Container Platform's practical experience in improving container resource utilization by dynamically adjusting cgroup limits, describing real‑world challenges, the design of a policy‑engine solution, experimental results, lessons learned, and future directions for cloud‑native workloads.
