Link Scheduling using Graph Neural Networks, IEEE TWC
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Updated
Mar 9, 2024 - Python
Link Scheduling using Graph Neural Networks, IEEE TWC
Scalable, structured, dynamically-scheduled hyperparameter optimization.
Efficient/multi-storage/in-process-scheduling/distributed, like tbschedule in java, now available.
A simple distributed scheduler with support for scheduling HTTP and AMQP messages.
A fault-tolerant distributed job scheduler that delivers priority-based execution, tenant-aware fairness, and resilient checkpointed workloads with leader-elected high availability.
A high-performance distributed scheduling framework with higher concurrency and lower latency
Readable Rust reference implementation of a coordinator-free distributed job scheduler using PostgreSQL SKIP LOCKED, NATS JetStream, REST, GraphQL, gRPC and hexagonal architecture.
Distributed Contract Execution Platform built with Spring Boot, Kafka, Redis, and PostgreSQL, implementing Event Sourcing, deterministic replay, idempotent execution, rule-driven workflows, distributed scheduling, and audit-compliant state reconstruction.
A task scheduler build on top of redis
A production-grade, distributed job orchestration engine built in Go, emphasizing explicit concurrency, resiliency patterns, and cloud-native readiness.
A new ElasticJob Cloud on Kubernetes
An enterprise-grade distributed job scheduler designed to decouple heavy computational workflows from core APIs, ensuring lightning-fast user experiences. Built on resilient .NET, Redis, and PostgreSQL stack, this system orchestrates thousands of asynchronous tasks across distributed worker nodes with guaranteed fault tolerance & Grafana telemetry
Task scheduling MCP server for autonomous agents — cron, intervals, priority queues, dependencies, retry policies.
This project replaces broken tokenization heuristics for Roman Urdu-English text with a single-feature Ridge model, achieving 2.5× higher accuracy at an ultra-low latency of 0.003 ms. By eliminating subword underestimation, our ML-driven scheduler drops misrouted requests to 3.4%, cutting queue wait times by 28% over standard word heuristics.
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