AESOP - Autonomic Service Operation
Scope
National
Research Group
coordinator
Synopsis
The AESOP project aims to develop an adaptative solution for monitoring and actuation over software applications running on the Cloud, with the goal of guaranteeing service levels automatically. In order to guarantee business services, software solutions deployed to any cloud provider need to maintain proper availability and performance levels. Although there are currently several different approaches and tools that monitor technical parameters, these are not enough for monitoring business levels. Therefore, there is a gap between what can be monitored and observed and hat the business needs. In order to overcome this gap, this project aims to develop a new platform that allows to specify a set of business parameters, while those parameters are part of a feedback adaptive loop that can actuate on those applications and its infrastructure beneath. This feedback loop will take advantage on virtualized infrastructure, built on infrastructure-as-code principles that are to extended to address the business level needs. For this purpose, we need to make an explicit definition on what those business levels are, both during development cycle and operation cycle.
Funding
P2020-31/SI/2017, No. 040004
Total budget
€ 553 134.00
Keywords
cloud, autonomic computing, quality of service
Start Date
2019-08-15
Partners
Virtual Power Solutions, University of Coimbra, Fiercely
CISUC budget
€ 130 482.00
End Date
2022-08-15
Publications
2022
A. P. Bento and J. Soares and A. Ferreira and J. Duraes and J. Ferreira and R. Carreira and F. Araujo and R. Barbosa, "Bi-objective optimization of availability and cost for cloud services", in The 21th IEEE International Symposium on Network Computing and Applications (NCA 2022), 2022
2021
A. P. Bento and J. Correia and J. Duraes and J. Soares and L. Ribeiro and A. Ferreira and R. Carreira and F. Araujo and R. Barbosa, "A layered framework for root cause diagnosis of microservices", in The 20th IEEE International Symposium on Network Computing and Applications (NCA 2021), 2021
R. Barbosa and J. Tomás and A. P. Bento and J. Soares and L. Ribeiro and A. Ferreira and R. Carreira and F. Araujo, "Toward autonomic service operation for cloud applications: the AESOP project", 2021
J. Domingos and R. Barbosa and H. Madeira, "Why is it so hard to predict computer systems failures?", in 17th European Dependable Computing Conference (EDCC 2021), pp. 41-44, 2021
R. Barbosa and A. Fonseca and F. Araujo, "Reductions and Abstractions for Formal Verification of Distributed Round-based Algorithms", Springer Software Quality Journal, 2021
2020