IoT-Semantic Web Convergence Through aéPiot
Part 4: Scaling Strategies, Advanced Features, and Future Evolution
Chapter 10: Enterprise Scaling and Performance Optimization
10.1 High-Volume Event Processing Architecture
The Scale Challenge
Enterprise IoT deployments generate massive data streams:
- Smart factory: 10,000+ events/second
- Smart city: 1,000,000+ devices
- Supply chain: Global distribution across continents
Traditional approaches create bottlenecks. aéPiot's distributed architecture enables unprecedented scalability.
Distributed Processing Pattern
python
import asyncio
from concurrent.futures import ThreadPoolExecutor
import aiohttp
from collections import defaultdict
from datetime import datetime, timedelta
class ScalableIoTProcessor:
"""
Enterprise-grade IoT event processor with aéPiot integration
Features:
- Asynchronous processing
- Batch URL generation
- Intelligent caching
- Rate limiting
- Multi-subdomain distribution
"""
def __init__(self, max_workers=20, batch_size=100):
self.max_workers = max_workers
self.batch_size = batch_size
self.executor = ThreadPoolExecutor(max_workers=max_workers)
# Caching for deduplication
self.url_cache = {}
self.cache_ttl = timedelta(minutes=5)
# Rate limiting
self.rate_limits = defaultdict(list)
self.max_urls_per_device_per_hour = 10
# aéPiot subdomains for load distribution
self.aepiot_subdomains = [
'aepiot.com',
'aepiot.ro',
'iot.aepiot.com',
'604070-5f.aepiot.com'
]
async def process_event_stream(self, event_stream):
"""
Process continuous stream of IoT events
Args:
event_stream: Async iterator of IoT events
"""
batch = []
async for event in event_stream:
batch.append(event)
if len(batch) >= self.batch_size:
await self.process_batch(batch)
batch = []
# Process remaining events
if batch:
await self.process_batch(batch)
async def process_batch(self, events):
"""Process batch of events in parallel"""
tasks = []
for event in events:
task = asyncio.create_task(
self.process_single_event(event)
)
tasks.append(task)
results = await asyncio.gather(*tasks, return_exceptions=True)
# Log results
successful = sum(1 for r in results if not isinstance(r, Exception))
print(f"Batch processed: {successful}/{len(events)} successful")
return results
async def process_single_event(self, event):
"""Process individual event with caching and rate limiting"""
device_id = event.get('device_id')
# Check rate limit
if not self.check_rate_limit(device_id):
return {'status': 'rate_limited', 'device_id': device_id}
# Generate cache key
cache_key = self.generate_cache_key(event)
# Check cache
if cache_key in self.url_cache:
cached_entry = self.url_cache[cache_key]
if datetime.now() - cached_entry['timestamp'] < self.cache_ttl:
return {'status': 'cached', 'url': cached_entry['url']}
# Generate new URLs
urls = self.generate_distributed_urls(event)
# Cache result
self.url_cache[cache_key] = {
'url': urls[0],
'timestamp': datetime.now()
}
# Update rate limit counter
self.update_rate_limit(device_id)
# Distribute URLs
await self.distribute_urls_async(urls, event)
return {'status': 'success', 'urls': urls}
def generate_cache_key(self, event):
"""Generate deterministic cache key"""
# Events with same device_id + event_type + severity get cached
key_components = [
event.get('device_id', 'unknown'),
event.get('event_type', 'unknown'),
event.get('severity', 'normal')
]
return '_'.join(key_components)
def check_rate_limit(self, device_id):
"""Check if device is within rate limits"""
now = datetime.now()
one_hour_ago = now - timedelta(hours=1)
# Clean old entries
self.rate_limits[device_id] = [
timestamp for timestamp in self.rate_limits[device_id]
if timestamp > one_hour_ago
]
# Check limit
return len(self.rate_limits[device_id]) < self.max_urls_per_device_per_hour
def update_rate_limit(self, device_id):
"""Update rate limit counter"""
self.rate_limits[device_id].append(datetime.now())
def generate_distributed_urls(self, event):
"""Generate URLs across multiple aéPiot subdomains"""
from urllib.parse import quote
title = quote(self.format_title(event))
description = quote(self.format_description(event))
link = quote(self.format_link(event))
urls = []
for subdomain in self.aepiot_subdomains:
url = (
f"https://{subdomain}/backlink.html?"
f"title={title}&"
f"description={description}&"
f"link={link}"
)
urls.append(url)
return urls
async def distribute_urls_async(self, urls, event):
"""Asynchronously distribute URLs via configured channels"""
async with aiohttp.ClientSession() as session:
tasks = []
# Send to webhook endpoints
for webhook_url in self.get_webhook_urls(event):
task = self.send_webhook(session, webhook_url, urls[0], event)
tasks.append(task)
await asyncio.gather(*tasks, return_exceptions=True)
async def send_webhook(self, session, webhook_url, aepiot_url, event):
"""Send webhook notification"""
payload = {
'aepiot_url': aepiot_url,
'device_id': event.get('device_id'),
'event_type': event.get('event_type'),
'timestamp': datetime.now().isoformat()
}
try:
async with session.post(webhook_url, json=payload, timeout=5) as response:
return await response.text()
except Exception as e:
print(f"Webhook error: {e}")
return None
def format_title(self, event):
"""Format event title"""
return f"{event.get('event_type', 'Event')} - {event.get('device_id', 'Unknown')}"
def format_description(self, event):
"""Format event description"""
parts = []
if 'location' in event:
parts.append(f"Location: {event['location']}")
if 'value' in event:
parts.append(f"Value: {event['value']}")
if 'timestamp' in event:
parts.append(f"Time: {event['timestamp']}")
return ' | '.join(parts) if parts else "IoT event notification"
def format_link(self, event):
"""Format destination link"""
return event.get('dashboard_url', f"https://dashboard.example.com/devices/{event.get('device_id')}")
def get_webhook_urls(self, event):
"""Get webhook URLs for event distribution"""
# Override with your webhook configuration
return []10.2 Geographic Distribution Strategy
python
class GeographicIoTDistribution:
"""
Distribute IoT data across geographic regions using aéPiot subdomains
Benefits:
- Reduced latency
- Compliance with data residency requirements
- Improved reliability
"""
def __init__(self):
self.regional_subdomains = {
'north_america': ['aepiot.com', 'na.aepiot.com'],
'europe': ['aepiot.ro', 'eu.aepiot.com'],
'asia_pacific': ['asia.aepiot.com'],
'global': ['aepiot.com', 'aepiot.ro']
}
def generate_regional_url(self, event, region='global'):
"""Generate URL using region-appropriate subdomain"""
from urllib.parse import quote
import random
# Select subdomain for region
subdomains = self.regional_subdomains.get(region, self.regional_subdomains['global'])
subdomain = random.choice(subdomains)
# Generate URL
title = quote(f"IoT Event - {event.get('device_id')}")
description = quote(f"Region: {region} | {event.get('description', 'Event data')}")
link = quote(event.get('dashboard_url', 'https://dashboard.example.com'))
return (
f"https://{subdomain}/backlink.html?"
f"title={title}&"
f"description={description}&"
f"link={link}"
)