Characterizing Resource Usage of Application Services Towards Efficient Orchestration

The adoption of virtualization in modern network infrastructures introduces new challenges in understanding and optimizing resource usage to support diverse services. This paper presents an empirical study characterizing the usage of computational resources CPU, RAM, and disk by application services deployed in virtualized network environments. Through comprehensive experimental measurements, we analyze the resource consumption patterns of various services, including data processing and video transcoding, across different hardware platforms. Statistical analyses highlight the variability in resource usage across different service types and deployment configurations, offering insights into performance trends and potential bottlenecks. These findings contribute to the development of efficient resource allocation strategies, enabling better scalability and performance in virtualized network infrastructures.