Lutz Schubert

A vision for better cloud applications

In this paper, we provide an overview over the PaaSage projects approach to helping the developer in exploiting cloud environments according to their specific needs and requirements. Classical software engineering methodologies no longer apply in multi-tenant, elastic environments, if the full capabilities for cost reduction and availability are to be exploited. PaaSage aims at offering software engineering extensions covering the full application lifecycle from deployment to execution.

Program transformations in the POLCA project

The POLCA project develops annotations on fragments of imperative code to guide program transformations for better utilization of resources. These annotations express the computational essence of the code fragments without referring to memory usage or execution time. That makes the annotations mathematical in nature such that provably correct transformations can be applied to them and the corresponding code fragment can be transformed accordingly for more optimal resource usage, for example on a multi-core platform or on an FPGA.

Analysing the Lifecycle of Future Autonomous Cloud Applications

Though Cloud Computing has found considerable uptake and usage, the amount of expertise, methodologies and tools for efficient development of in particular distributed Cloud applications is still comparatively little. This is mostly due to the fact that all our established methodologies and approaches base on usage architectures that focus on single users, even single processors, let alone active sharing of information. Within this paper we elaborate which kind of information is missing from the current methodologies and how such information could principally be exploited to improve resource utilisation, quality of service and reduce development time and effort.

Analysing the archaeological context: Reconstructing stratigraphic layers

The stratigraphic layout of an excavation determines how finds can be interpreted regarding their timeline and relationships with each other. Older excavation reports do not fully record this layout however and reconstructing the relationships is often subject to conjecture. In this paper we present a first approach for reasoning over and visualizing the stratigraphy given only profile information. We will demonstrate how this can be used for spatial analysis, but also for reasoning over different processes contributing to the found layout, including potential influences that left no visible traces.The stratigraphic layout of an excavation determines how finds can be interpreted regarding their timeline and relationships with each other. Older excavation reports do not fully record this layout however and reconstructing the relationships is often subject to conjecture. In this paper we present a first approach for reasoning over and visualizing the stratigraphy given only profile information. We will demonstrate how this can be used for spatial analysis, but also for reasoning over different processes contributing to the found layout, including potential influences that left no visible traces.

Initial 2016 HOLACloud Roadmap

Abstract The HOLACloud initial 2016 roadmap has been generated by a process similar to that for 2015 using the input to the CLOUD Forward Conference 2016. The analysis of the position papers, and ideas from the scientific papers, provided the synopsis of future RI placement and locality of data, software, resources and users; autonomic SLA management pervasively through the software stack including trust, security and privacy; interoperability both across hybrid CLOUD platforms and across heterogeneity of data and software. Business models for CLOUD Computing and beyond featured less prominently than in 2015.

The Need to Comprehend Clouds: Why We Still Can’t Use Clouds Properly

Clouds have become the modern concept of utility computing – not only over the web, but in general. As such, they are the seeming solution for all kind of computing and storage problems, ranging from simple database servers to high performance computing. However, clouds have specific characteristics and hence design specifics which impact on the capability scope of the use cases. This paper shows which subset of computing cases actually meet the cloud paradigm and what is needed to move further applications into the cloud.