distributed-scheduling

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.

python redis scheduler

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

Task scheduling MCP server for autonomous agents — cron, intervals, priority queues, dependencies, retry policies.

A new ElasticJob Cloud on Kubernetes

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.

A production-grade, distributed job orchestration engine built in Go, emphasizing explicit concurrency, resiliency patterns, and cloud-native readiness.