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2015 IEEE Symposium on Computers and Communication (ISCC) (2015)
Larnaca, Cyprus
July 6, 2015 to July 9, 2015
ISBN: 978-1-4673-7193-3
pp: 776-781
Guilherme da Cunha Rodrigues , Computer Networks Group, Institute of Informatics Federal University of Rio Grande do Sul, Porto Alegre, Brazil
Rodrigo N. Calheiros , Cloud Computing and Distributed Systems (CLOUDS) Laboratory Department of Computing and Information Systems, The University of Melbourne, Australia
Marcio Barbosa de Carvalho , Computer Networks Group, Institute of Informatics Federal University of Rio Grande do Sul, Porto Alegre, Brazil
Carlos Raniery Paula dos Santos , Department of Applied Computing, Federal University of Santa Maria, Santa Maria, Brazil
Lisandro Zambenedetti Granville , Computer Networks Group, Institute of Informatics Federal University of Rio Grande do Sul, Porto Alegre, Brazil
Liane Tarouco , Computer Networks Group, Institute of Informatics Federal University of Rio Grande do Sul, Porto Alegre, Brazil
Rajkumar Buyya , Cloud Computing and Distributed Systems (CLOUDS) Laboratory Department of Computing and Information Systems, The University of Melbourne, Australia
ABSTRACT
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.
INDEX TERMS
Monitoring, Cloud computing, Scalability, Elasticity, Probes, Topology, Synchronization
CITATION

G. da Cunha Rodrigues et al., "The interplay between timeliness and scalability in cloud monitoring systems," 2015 IEEE Symposium on Computers and Communication (ISCC), Larnaca, Cyprus, 2015, pp. 776-781.
doi:10.1109/ISCC.2015.7405608
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