EAI Endorsed Transactions on Cloud Systems 16(6): e3

Research Article

Palladio Optimization Suite: QoS optimization for component-based Cloud applications

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  • @ARTICLE{10.4108/eai.14-12-2015.2262562,
        author={Michele Ciavotta and Danilo Ardagna and Anne Koziolek},
        title={Palladio Optimization Suite: QoS optimization for component-based Cloud applications},
        journal={EAI Endorsed Transactions on Cloud Systems},
        volume={16},
        number={6},
        publisher={ACM},
        journal_a={CS},
        year={2016},
        month={1},
        keywords={model-driven, cloud, qos, optimization},
        doi={10.4108/eai.14-12-2015.2262562}
    }
    
  • Michele Ciavotta
    Danilo Ardagna
    Anne Koziolek
    Year: 2016
    Palladio Optimization Suite: QoS optimization for component-based Cloud applications
    CS
    EAI
    DOI: 10.4108/eai.14-12-2015.2262562
Michele Ciavotta,*, Danilo Ardagna1, Anne Koziolek2
  • 1: Politecnico di Milano
  • 2: Karlsruhe Institute of Technology
*Contact email: michele.ciavotta@polimi.it

Abstract

One important issue in software engineering is to find an effective way to deal with the increasing complexity of software computing system. Modern software applications have evolved in terms of size and scope. Specific tools have been created to predict the Quality of Service (QoS) at design-time. However, the optimization of an architecture usually has to be done manually, resulting in an arduous and time-consuming process. For this reason, we present the Palladio Optimization Suite (POS), a collection of complementary plugins realized to run atop Palladio Bench with the aim of automatizing the exploration of the space of possible architectures by means of advanced search paradigms.