Startonix / Modular-AI

Advanced AI Training and Building Repository
0 stars 0 forks source link

Alfred System multiple redundancies and failover mechanisms #223

Open Startonix opened 5 months ago

Startonix commented 5 months ago

Components ISL Nodes: Multiple instances of the ISL for redundancy. Decentralized Control Mechanism: Manages ISL nodes and ensures failover safety. Automated Testing and Recovery: Periodic testing and automated recovery processes. Redundancy and Fault Tolerance: Multiple ISL nodes provide redundancy. Continuous Integration/Continuous Deployment (CI/CD): Automated updates and evolution. Error Detection and Isolation: Monitors the health of each ISL node and isolates errors. Implementation

import time import threading import random from datetime import datetime class ISLNode: def init(self, node_id): self.node_id = node_id self.health_status = "healthy" self.logs = [] def monitor_health(self):

Simulate health check

if random.choice([True, False]): self.health_status = "unhealthy" else: self.health_status = "healthy" self.logs.append(f"Health check at {datetime.now()}: {self.health_status}")

def repair(self): self.health_status = "healthy" self.logs.append(f"Repair performed at {datetime.now()}")

def run_tests(self):

Simulate test runs

test_results = random.choice(["pass", "fail"]) self.logs.append(f"Tests run at {datetime.now()}: {test_results}") if test_results == "fail": self.repair()

def audit_log(self): return "\n".join(self.logs) class DecentralizedControlMechanism: def init(self, num_nodes): self.nodes = [ISLNode(i) for i in range(num_nodes)] self.main_node = self.nodes[0] def monitor_nodes(self): while True: for node in self.nodes: node.monitor_health() if node.health_status == "unhealthy": self.failover(node) time.sleep(10) def failover(self, failed_node): print(f"Failover triggered for Node {failed_node.node_id}")

Logic to switch tasks to a healthy node

for node in self.nodes: if node.health_status == "healthy": self.mainnode = node break failednode.repair() def run_tests(self): while True: for node in self.nodes: node.run_tests() time.sleep(60) def deploy_updates(self): while True: print("Deploying updates...") for node in self.nodes: node.logs.append(f"Update deployed at {datetime.now()}") time.sleep(300) def audit_logs(self): for node in self.nodes: print(f"Node {node.node_id} Logs:\n{node.audit_log()}\n") if name == "main": dcm = DecentralizedControlMechanism(num_nodes=5)

Create threads for different operations

monitoring_thread = threading.Thread(target=dcm.monitor_nodes) testing_thread = threading.Thread(target=dcm.run_tests) updating_thread = threading.Thread(target=dcm.deploy_updates)

Start threads

monitoring_thread.start() testing_thread.start() updating_thread.start()

Simulate running for a while

time.sleep(600)

Audit logs after simulation

dcm.audit_logs()