@Article{CerejaJúniorSantMora:2019:FrPrSe,
author = "Cereja J{\'u}nior, Moacyr Gon{\c{c}}alves and Sant'Anna, Nilson
and Moraes, Marcos Paulo Salgueiro",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "A framework to provide self-adaptive support to scientific
software systems",
journal = "Journal of Computational Interdisciplinary Sciences",
year = "2019",
volume = "10",
number = "3",
pages = "97--110",
keywords = "Space Ground Systems, Self-Adaptive Software, Service Level
Agreement, Quality of Service, Resource Optimization.",
abstract = "Currently, INPE space weather applications process data from
different instruments. To keep the systems operating in order to
deliver the expected results, challenging issues arise: How to
measure the instruments quality of service? How to adapt the
system to continue operating in the event of unavailability?
Self-adaptive systems are presented as a solution to adapt the
system in response of changes in their operating environment. In
this context, a framework is presented to provide self-adaptive
support to software systems. The framework called Arctic Fox
supports the entire adaptation life cycle: Monitoring, Analysis,
Planning and Execution. An adaptation is triggered after metrics
analysis and detection of service level agreements (SLA)
violations, if so, an actuator (Executor) is activated in the
system to promote the necessary architectural adaptations to keep
the system serving the purpose for which it was designed.",
issn = "1983-8409 and 2177-8833",
language = "en",
targetfile = "cereja_framework.pdf",
urlaccessdate = "24 abr. 2024"
}