Model-driven specification of adaptive cloud-based systems

Nagel, Benjamin; Gerth, Christian; Yigitbas, Enes; Christ, Fabian; Engels, Gregor

doi:10.1145/2446224.2446228

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…Nevertheless, the economic aspect of cloud computing must not be neglected and we currently see innovations [1,18,29] that empower more flexible sourcing in the future. The role of HPC (high performance computing) applications like high-end simulation and high-end computer-aided design cannot be excluded from the cloud computing trend [20].…”

Section: The Cloud Computing Paradigmmentioning

confidence: 99%

Case 2.0

Draheim¹

2012

Proceedings of the 1st International Workshop on Model-Driven Engineering for High Performance and CLoud Computing

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Cloud Computing is here to stay. It offers a huge potential in many domains. In this talk we outline a cloud-driven approach to software engineering which we refer to as Cloud Aided Software Engineering (CASE 2.0). We are convinced that cloud computing is the natural candidate to boost tomorrow's software projects. Unfortunately, it is by far not enough to migrate current software engineering tool suites into the cloud and to work with them as usual to unlock the potential of the cloud. This talk aims at identifying the key success factors for cloud-based software engineering: deeply standardizing models, a highly integrated tool landscape, a focus shift onto group dynamics and cultural change management. Then, we explain some key innovations to turn CASE 2.0 into reality: orthogonal software modeling (OSM) and the single underlying model (SUM), the viable software process and the viable software product. Furthermore, we need to discuss a simple yet extremely important observation: the cloud offers a nearly perfect aid against copyright infringement. We will argue that this simple fact is amenable to completely change the face of software utilization.

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Section: The Cloud Computing Paradigmmentioning

confidence: 99%

Case 2.0

Draheim¹

2012

Proceedings of the 1st International Workshop on Model-Driven Engineering for High Performance and CLoud Computing

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“…Over the last decade, self-adaptive systems (SAS) have emerged as a solution to overcome many of the limitations of human supervision by endowing systems with mechanisms to automatically adapt their structure and behavior at run time [1]. Typical application areas of SAS are for example robotics [2], control systems [3], software architectures [4], fault-tolerant computing [5], or smart user interfaces [6]. While most of the existing self-adaptation approaches rely on closed-loop controllers (e.g., implementing the MAPE-K reference framework) that eliminate human intervention from adaptation, there are application domains where it is beneficial to integrate the human in the MAPE-K loop [1].…”

Section: Introductionmentioning

confidence: 99%