Package jline.bench.lqn
Layered Queueing Network (LQN) benchmarks for hierarchical system evaluation.
This package contains benchmark models for layered queueing networks, which are used to model multi-tier software architectures, distributed systems, and service-oriented architectures where requests flow through multiple layers of processing.
- Client-server architectures with multiple tiers
- Web application models (presentation, business, data layers)
- Microservices architectures
- Database systems with caching layers
- Cloud computing resource hierarchies
- Various layer interaction patterns
- Different task and activity structures
- Resource contention across layers
- Synchronous and asynchronous communication
- Load balancing and replication scenarios
- End-to-end response time analysis
- Throughput bottleneck identification
- Resource utilization across layers
- Scalability analysis for tier expansion
See: Description
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Class Summary Class Description BenchmarkSolverFactory Custom solver factory for LQN benchmarks SimpleLQNBenchmark Simplified LQN benchmark implementation DefaultSolverFactory Default solver factory for LQN benchmarks BenchLQN_Default LQN benchmark using Default solver configuration LQNSSolverFactory LQNS-style solver factory for LQN benchmarks BenchLQN_LQNS LQN benchmark using LQNS solver (Layered Queueing Network Solver native) Note: Uses JMT as a proxy since native LQNS is external NCSolverFactory NC solver factory for LQN benchmarks BenchLQN_NC LQN benchmark using NC solver (Normalizing Constant) FluidSolverFactory Fluid solver factory for LQN benchmarks BenchLQN_Fluid LQN benchmark using Fluid solver CustomSolverFactory Custom solver factory with configurable parameters BenchLQN_Custom LQN benchmark using Custom solver configurations with various parameters SRVNSolverFactory SRVN-style solver factory for LQN benchmarks BenchLQN_SRVN LQN benchmark using SRVN solver (Stochastic Rendezvous Networks) Note: Uses JMT as a proxy since native SRVN is external MVASolverFactory MVA solver factory for LQN benchmarks BenchLQN_MVA LQN benchmark using MVA solver (Mean Value Analysis)