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.
A task scheduler build on top of redis
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 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.
Task scheduling MCP server for autonomous agents — cron, intervals, priority queues, dependencies, retry policies.
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