Research summary
Project overview
The project investigates how cloud workloads can be distributed more intelligently in elastic environments where demand spikes and cost control must both be managed carefully.
Approach
The work models allocation strategies for serverless scenarios and measures how response times and operating cost shift under different demand patterns. The implementation treats observability and scheduling as linked concerns.
Impact
The result is a clearer decision framework for balancing performance and expenditure in cloud-native systems serving variable workloads.