A Model-Driven DevOps framework for QoS-aware Cloud applications

被引：6
|
作者：
Guerriero, Michele [1 ]
Ciavotta, Michele [1 ]
Gibilisco, Giovanni Paolo [1 ]
Ardagna, Danilo [1 ]
机构：
[1] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, Milan, Italy
来源：
2015 17TH INTERNATIONAL SYMPOSIUM ON SYMBOLIC AND NUMERIC ALGORITHMS FOR SCIENTIFIC COMPUTING (SYNASC) | 2016年
关键词：
Auto-Scaling; Capacity Allocation; Optimization; QoS;
D O I：
10.1109/SYNASC.2015.60
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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 modeldriven design-time quality of service assessment and optimization, and runtime capacity allocation of Cloud applications.
引用
收藏
页码：345 / 351
页数：7
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