The interplay between timeliness and scalability in cloud monitoring systems
Guilherme da Cunha Rodrigues, Rodrigo Neves Calheiros, Márcio Barbosa de Carvalho, Carlos R. P. dos Santos, Lisandro Zambenedetti Granville, Liane Margarida Rockenbach Tarouco, Rajkumar Buyya · 2015
Cloud computing is a groundbreaking solution to acquire computational resources on demand. To deliver high quality cloud services and provide features such as reduced costs and availability to customers, a cloud, like any other computational system, needs to be properly managed in accordance with its characteristics (e.g., scalability, elasticity, timeliness). In this scenario, cloud monitoring is a key to achieve it. To properly work, cloud monitoring systems need to meet several requirements such as scalability, accuracy, and timeliness. This paper aims to unveil the trade-off between timeliness and scalability. Evaluations demonstrate the mutual influence between scalability and timeliness based on monitoring parameters (e.g., monitoring topologies, frequency sampling). Results show that non-deep monitoring topologies and decreasing the frequency sampling assist to reduce the mutual influence between timeliness and scalability.