Resource Optimization
Optimization Strategies Overview
Resource optimization aims to improve system performance, reduce resource consumption, and enhance overall efficiency.
graph TD
A[Resource Optimization] --> B[CPU Optimization]
A --> C[Memory Management]
A --> D[Disk Performance]
A --> E[Network Efficiency]
CPU Optimization Techniques
Process Priority Management
## Change process priority
nice -n -10 command
renice -n 10 -p PID
## View process priorities
ps -el
CPU Affinity
## Bind process to specific CPU cores
taskset -c 0,1 ./application
Memory Optimization
Memory Management Strategies
Technique |
Description |
Command |
Swappiness |
Control swap usage |
sysctl vm.swappiness=10 |
Cache Management |
Clear page cache |
echo 3 > /proc/sys/vm/drop_caches |
Limit Memory Usage |
Set process memory limits |
ulimit -v 1024000 |
Memory Profiling
## Analyze memory usage
valgrind --tool=massif ./application
I/O Scheduling
## Change I/O scheduler
echo deadline > /sys/block/sda/queue/scheduler
## Check current scheduler
cat /sys/block/sda/queue/scheduler
Disk Caching
## Enable write-back caching
hdparm -W1 /dev/sda
Network Optimization
TCP/IP Tuning
## Increase network buffer sizes
sysctl -w net.core.rmem_max=16777216
sysctl -w net.core.wmem_max=16777216
Network Interface Optimization
## Set network interface to highest speed
ethtool -s eth0 speed 1000 duplex full
Containerization and Resource Control
Using Control Groups (cgroups)
## Limit CPU and memory for a process group
cgcreate -g cpu,memory:mygroup
cgset -r cpu.shares=512 mygroup
cgset -r memory.limit_in_bytes=1G mygroup
## Comprehensive performance analysis
perf record ./application
perf report
At LabEx, we emphasize:
- Continuous monitoring
- Incremental optimization
- Balanced resource allocation
Optimization Workflow
- Monitor current resource usage
- Identify bottlenecks
- Apply targeted optimizations
- Measure and validate improvements
Best Practices
- Regularly update system and applications
- Use lightweight applications
- Implement caching mechanisms
- Monitor and adjust resource limits
- Consider workload-specific optimizations