Recently we witnessed a deep transformation in the the design, development and management of modern applications, which have grown in scope and size becoming distributed and service-oriented. A big part in this metamorphosis is played by the Cloud with the availability of almost-infinite resources, high availability and outsourced maintenance. This has led to the emergence of new software development methodologies to effectively deal with this paradigm shift in the field of software engineering. DevOps is one of them, it advocates for a greater level of collaboration and convergence between developers and other IT professionals. Consequently, new tools, purposely designed to ease this process, are required. In this scenario, we present SPACE4Cloud, a DevOps integrated environment for model-driven design-time quality of service assessment and optimization, and runtime capacity allocation of Cloud applications.

Guerriero, M., Ciavotta, M., Gibilisco, G., Ardagna, D. (2016). A Model-Driven DevOps Framework for QoS-Aware Cloud Applications. In Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015 (pp.345-351). Institute of Electrical and Electronics Engineers Inc. [10.1109/SYNASC.2015.60].

A Model-Driven DevOps Framework for QoS-Aware Cloud Applications

Ciavotta, M;
2016

Abstract

Recently we witnessed a deep transformation in the the design, development and management of modern applications, which have grown in scope and size becoming distributed and service-oriented. A big part in this metamorphosis is played by the Cloud with the availability of almost-infinite resources, high availability and outsourced maintenance. This has led to the emergence of new software development methodologies to effectively deal with this paradigm shift in the field of software engineering. DevOps is one of them, it advocates for a greater level of collaboration and convergence between developers and other IT professionals. Consequently, new tools, purposely designed to ease this process, are required. In this scenario, we present SPACE4Cloud, a DevOps integrated environment for model-driven design-time quality of service assessment and optimization, and runtime capacity allocation of Cloud applications.
paper
Auto-Scaling; Capacity Allocation; Optimization; QoS
English
International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015 21-24 September
2015
Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015
9781509004614
2016
345
351
7426104
reserved
Guerriero, M., Ciavotta, M., Gibilisco, G., Ardagna, D. (2016). A Model-Driven DevOps Framework for QoS-Aware Cloud Applications. In Proceedings - 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2015 (pp.345-351). Institute of Electrical and Electronics Engineers Inc. [10.1109/SYNASC.2015.60].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/186623
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