12 KiB
12 KiB
Parallel Execution Engine - Performance Optimization System
System Overview
The Parallel Execution Engine optimizes workflow performance by executing independent agents simultaneously, managing resource allocation, and coordinating synchronization points for maximum efficiency.
Parallel Execution Architecture
Dependency Analysis Engine
dependency_analyzer:
analysis_scope: "full_workflow_dependency_graph"
dependency_types:
data_dependency:
description: "Agent B requires structured data from Agent A"
example: "pm requires analyst.project_brief.structured_data"
blocking: true
context_dependency:
description: "Agent B benefits from Agent A's context but can work without it"
example: "ux_expert can use architect.technology_stack if available"
blocking: false
validation_dependency:
description: "Agent B needs Agent A for output validation"
example: "architect validates pm's technical requirements"
blocking: false # Can be done post-completion
resource_dependency:
description: "Agents compete for the same computational resources"
example: "multiple agents using same template engine"
blocking: false # Managed by resource allocator
dependency_graph_generation:
algorithm: "topological_sort_with_parallel_identification"
optimization: "minimize_critical_path_length"
output: "execution_groups_with_parallel_opportunities"
Execution Group Definition
execution_groups:
group_1_foundation:
agents: ["analyst"]
dependencies: []
parallel_capable: false
estimated_duration: "3-5_minutes"
resource_requirements:
cpu: "medium"
memory: "low"
context_access: "write_only"
group_2_requirements:
agents: ["pm"]
dependencies: ["analyst.completion"]
parallel_capable: false # Single critical path
estimated_duration: "4-6_minutes"
resource_requirements:
cpu: "high"
memory: "medium"
context_access: "read_analyst_write_pm"
group_3_design_architecture:
agents: ["ux_expert", "architect"]
dependencies: ["pm.completion"]
parallel_capable: true # Key optimization opportunity
synchronization: "barrier_sync"
estimated_duration: "6-8_minutes"
agent_specifications:
ux_expert:
inputs: ["pm.user_stories", "pm.user_personas", "analyst.target_users"]
outputs: ["ui_spec", "user_journeys", "component_specifications"]
resource_requirements:
cpu: "medium"
memory: "medium"
context_access: "read_multiple_write_ux"
architect:
inputs: ["pm.functional_requirements", "pm.non_functional_requirements", "analyst.technical_constraints"]
outputs: ["system_architecture", "technology_stack", "api_specifications"]
resource_requirements:
cpu: "high"
memory: "high"
context_access: "read_multiple_write_architect"
synchronization_strategy:
type: "smart_barrier"
timeout: "10_minutes"
partial_failure_handling: "continue_with_available_results"
cross_validation: "post_completion_validation"
group_4_implementation:
agents: ["developer"]
dependencies: ["ux_expert.completion", "architect.completion"]
parallel_capable: false
estimated_duration: "8-12_minutes"
resource_requirements:
cpu: "very_high"
memory: "high"
context_access: "read_multiple_write_developer"
group_5_quality:
agents: ["qa"]
dependencies: ["developer.completion"]
parallel_capable: false
estimated_duration: "4-6_minutes"
resource_requirements:
cpu: "medium"
memory: "medium"
context_access: "read_all_write_qa"
Resource Management System
resource_manager:
resource_pool:
computational:
total_cpu_units: 100
total_memory_units: 100
concurrent_agent_limit: 3
context_store:
concurrent_readers: 5
concurrent_writers: 1
lock_timeout: 30 # seconds
template_engine:
concurrent_renders: 3
cache_size: "50MB"
render_timeout: 120 # seconds
allocation_strategy:
algorithm: "priority_based_fair_sharing"
priorities:
critical_path_agents: 10
parallel_group_agents: 7
validation_agents: 5
resource_sharing:
cpu_oversubscription: 1.2 # Allow 120% allocation
memory_strict: true # No oversubscription
context_queuing: true
load_balancing:
agent_assignment:
strategy: "least_loaded_instance"
health_check: "response_time_based"
failover: "automatic_reassignment"
resource_monitoring:
metrics: ["cpu_usage", "memory_usage", "response_time", "queue_depth"]
sampling_interval: 10 # seconds
alert_thresholds:
cpu_usage: 90
memory_usage: 85
response_time: 180 # seconds
queue_depth: 3
Parallel Coordination Protocol
Smart Barrier Synchronization
barrier_synchronization:
implementation: "smart_barrier_with_partial_results"
phases:
phase_1_initiation:
- start_all_parallel_agents_simultaneously
- establish_shared_context_locks
- begin_progress_monitoring
phase_2_execution_monitoring:
- track_individual_agent_progress
- monitor_resource_utilization
- detect_potential_conflicts_early
- provide_progress_updates
phase_3_completion_detection:
- wait_for_all_agents_OR_timeout
- collect_completed_results
- assess_partial_completion_viability
- make_continuation_decision
phase_4_synchronization:
- merge_parallel_results
- resolve_any_conflicts
- validate_cross_agent_consistency
- prepare_context_for_next_group
timeout_handling:
default_timeout: "10_minutes"
timeout_strategies:
continue_with_partial:
condition: "at_least_one_agent_completed_successfully"
action: "use_completed_results_fill_gaps_with_defaults"
quality_impact: "medium"
extend_timeout:
condition: "agents_making_progress_but_need_more_time"
extension: "5_minutes_maximum"
max_extensions: 1
abort_and_fallback:
condition: "no_agents_completing_OR_critical_errors"
action: "fall_back_to_sequential_execution"
notification: "alert_system_administrators"
Context Conflict Resolution
context_conflicts:
conflict_types:
write_write_conflict:
description: "Multiple agents trying to write to same context location"
resolution: "first_writer_wins_with_merge_opportunity"
example: "both ux_expert and architect updating user_requirements"
read_write_conflict:
description: "Agent reading while another agent writing"
resolution: "consistent_snapshot_isolation"
example: "pm reading analyst_data while analyst updating"
consistency_conflict:
description: "Parallel agents producing inconsistent outputs"
resolution: "post_completion_conflict_detection_and_resolution"
example: "ux_expert specifies mobile_first while architect assumes desktop_primary"
resolution_mechanisms:
optimistic_concurrency:
strategy: "allow_parallel_execution_detect_conflicts_later"
conflict_detection: "content_hash_comparison"
resolution: "three_way_merge_with_validation"
context_versioning:
strategy: "version_all_context_changes"
merge_strategy: "semantic_merge_where_possible"
fallback: "manual_conflict_resolution"
conflict_prevention:
strategy: "pre_allocate_context_ownership"
ownership_rules:
analyst: ["project_metadata", "problem_analysis", "user_research"]
pm: ["requirements", "user_stories", "acceptance_criteria"]
architect: ["technical_architecture", "system_design", "api_specs"]
ux_expert: ["user_experience", "ui_specifications", "design_system"]
Performance Optimization Features
Intelligent Caching System
caching_system:
cache_levels:
agent_output_cache:
scope: "completed_agent_outputs"
key_strategy: "content_hash_based"
ttl: "session_lifetime"
size_limit: "100MB"
template_render_cache:
scope: "rendered_template_outputs"
key_strategy: "template_id_plus_variable_hash"
ttl: "1_hour"
size_limit: "50MB"
context_snapshot_cache:
scope: "context_state_at_major_milestones"
key_strategy: "workflow_step_plus_content_hash"
ttl: "session_lifetime"
size_limit: "200MB"
cache_optimization:
prefetching:
strategy: "predict_next_likely_agent_needs"
prefetch_templates: true
prefetch_context: true
compression:
algorithm: "lz4_fast_compression"
compression_threshold: "10KB"
eviction:
policy: "lru_with_priority_boosting"
priority_factors: ["access_frequency", "computation_cost", "cache_hit_ratio"]
Performance Monitoring
performance_monitoring:
metrics_collection:
execution_metrics:
- total_workflow_time
- individual_agent_execution_time
- parallel_efficiency_ratio
- context_lock_wait_time
- resource_utilization_percentage
quality_metrics:
- output_quality_scores
- validation_failure_rate
- context_conflict_frequency
- retry_rate
system_metrics:
- memory_usage_peak
- cpu_utilization_average
- cache_hit_ratios
- network_latency_impact
performance_optimization:
adaptive_resource_allocation:
trigger: "performance_below_threshold"
actions:
- increase_cpu_allocation
- adjust_parallel_group_sizes
- modify_timeout_values
- enable_aggressive_caching
bottleneck_detection:
algorithm: "critical_path_analysis"
automatic_optimization:
- reorder_non_critical_operations
- increase_parallelization_opportunities
- optimize_context_access_patterns
Integration with Workflow Engine
Enhanced Workflow Execution
# Enhanced workflow step definition with parallel capabilities
enhanced_workflow_step:
id: "step_3_parallel_design"
name: "Parallel Design & Architecture"
type: "parallel_group"
parallel_configuration:
execution_mode: "truly_parallel"
resource_isolation: false # Allow resource sharing
context_sharing: "read_only_shared_write_isolated"
agents:
- id: "ux_expert_parallel"
agent: "ux_expert"
priority: 7
timeout: "8_minutes"
context_requirements:
read: ["pm.user_stories", "analyst.target_users"]
write: ["ux_outputs"]
resource_requirements:
cpu: 30 # units
memory: 25 # units
- id: "architect_parallel"
agent: "architect"
priority: 8 # Slightly higher priority
timeout: "10_minutes"
context_requirements:
read: ["pm.requirements", "analyst.technical_constraints"]
write: ["architecture_outputs"]
resource_requirements:
cpu: 40 # units
memory: 35 # units
synchronization:
barrier_type: "smart_barrier"
success_criteria: "at_least_one_agent_succeeds"
failure_criteria: "all_agents_fail_or_timeout"
cross_validation:
enabled: true
validation_agents: ["architect", "ux_expert"] # Validate each other
validation_timeout: "3_minutes"
This Parallel Execution Engine dramatically improves system performance by executing independent agents simultaneously while maintaining data consistency and quality through intelligent coordination mechanisms.