An architecture to evaluate Scalability, Adaptability and Accuracy in cloud monitoring systems

In a cloud computing environment, multiple resources need to be properly managed to improve resource utilization and offer predictable performance to customers. One essential management function that gains a special importance in the context of clouds is monitoring. Nowadays, cloud monitoring solutions need to meet several requirements such as Scalability, Accuracy, and Adaptability. In This paper, we proposed an architecture to evaluate Scalability, Accuracy, and Adaptability in cloud monitoring systems based on local filters. The results show a mutual influence among these requirements. Moreover, the proposed architecture is simplified and the filtering methods show promising results to Scalability and Adaptability.

I. Introduction

Cloud computing is a consolidated technology to provide computing resources on demand to end-users [1]. In order to support different customers and usage profiles, a cloud provider offers a variety of resource types (e.g., application, storage, network) and sizes. In a cloud computing environment, multiple resources need to be properly managed to improve resource utilization and offer predictable performance to customers [2]. One essential management function that gains a special importance in the context of clouds is monitoring [3].